Most Influential WWW Papers (2021-02)
The Web Conference (WWW) is one of the top internet conferences in the world. Paper Digest Team analyze all papers published on WWW in the past years, and presents the 10 most influential papers for each year. This ranking list is automatically constructed based upon citations from both research papers and granted patents, and will be frequently updated to reflect the most recent changes. To find the latest updates of the most influential papers from different conferences/journals, visit Best Paper Digest page. Note: the most influential papers may or may not include the papers that won the best paper awards. (Version: 2021-02)
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Paper Digest Team
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TABLE 1: Most Influential WWW Papers (2021-02)
Year | Rank | Paper | Author(s) |
---|---|---|---|
2020 | 1 | Reducing Disparate Exposure In Ranking: A Learning To Rank Approach IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we explore a new in-processing approach: DELTR, a learning-to-rank framework that addresses potential issues of discrimination and unequal opportunity in rankings at training time. |
Meike Zehlike; Carlos Castillo; |
2020 | 2 | Reinforced Negative Sampling Over Knowledge Graph For Recommendation IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we hypothesize that item knowledge graph (KG), which provides rich relations among items and KG entities, could be useful to infer informative and factual negative samples. We release the codes and datasets at https://github.com/xiangwang1223/kgpolicy. |
XIANG WANG et. al. |
2020 | 3 | A First Look At Commercial 5G Performance On Smartphones IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We conduct to our knowledge a first measurement study of commercial 5G performance on smartphones by closely examining 5G networks of three carriers (two mmWave carriers, one mid-band carrier) in three U.S. cities. We have released the data collected from our study (referred to as 5Gophers) at https://fivegophers.umn.edu/www20. |
ARVIND NARAYANAN et. al. |
2020 | 4 | Generating Clarifying Questions For Information Retrieval IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Search queries are often short, and the underlying user intent may be ambiguous. This makes it challenging for search engines to predict possible intents, only one of which may … |
Hamed Zamani; Susan Dumais; Nick Craswell; Paul Bennett; Gord Lueck; |
2020 | 5 | MAGNN: Metapath Aggregated Graph Neural Network For Heterogeneous Graph Embedding IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address these three limitations, we propose a new model named Metapath Aggregated Graph Neural Network (MAGNN) to boost the final performance. |
Xinyu Fu; Jiani Zhang; Ziqiao Meng; Irwin King; |
2020 | 6 | Influence Function Based Data Poisoning Attacks To Top-N Recommender Systems IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we show that an attacker can launch a data poisoning attack to a recommender system to make recommendations as the attacker desires via injecting fake users with carefully crafted user-item interaction data. |
Minghong Fang; Neil Zhenqiang Gong; Jia Liu; |
2020 | 7 | Future Data Helps Training: Modeling Future Contexts For Session-based Recommendation IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To this end, we propose a new encoder-decoder framework named Gap-filling based Recommender (GRec), which trains the encoder and decoder by a gap-filling mechanism. |
FAJIE YUAN et. al. |
2020 | 8 | Adversarial Attacks On Graph Neural Networks Via Node Injections: A Hierarchical Reinforcement Learning Approach IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a novel reinforcement learning method for Node Injection Poisoning Attacks (NIPA), to sequentially modify the labels and links of the injected nodes, without changing the connectivity between existing nodes. |
Yiwei Sun; Suhang Wang; Xianfeng Tang; Tsung-Yu Hsieh; Vasant Honavar; |
2020 | 9 | Context-Aware Document Term Weighting For Ad-Hoc Search IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper proposes HDCT, a context-aware document term weighting framework for document indexing and retrieval. |
Zhuyun Dai; Jamie Callan; |
2020 | 10 | Discriminative Topic Mining Via Category-Name Guided Text Embedding IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a new task, discriminative topic mining, which leverages a set of user-provided category names to mine discriminative topics from text corpora. |
YU MENG et. al. |
2019 | 1 | Graph Neural Networks For Social Recommendation IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To address the three aforementioned challenges simultaneously, in this paper, we present a novel graph neural network framework (GraphRec) for social recommendations. |
WENQI FAN et. al. |
2019 | 2 | Unifying Knowledge Graph Learning And Recommendation: Towards A Better Understanding Of User Preferences IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we jointly learn the model of recommendation and knowledge graph completion. |
Yixin Cao; Xiang Wang; Xiangnan He; Zikun Hu; Tat-Seng Chua; |
2019 | 3 | Knowledge Graph Convolutional Networks For Recommender Systems IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose Knowledge Graph Convolutional Networks (KGCN), an end-to-end framework that captures inter-item relatedness effectively by mining their associated attributes on the KG. |
Hongwei Wang; Miao Zhao; Xing Xie; Wenjie Li; Minyi Guo; |
2019 | 4 | Multi-Task Feature Learning For Knowledge Graph Enhanced Recommendation IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we consider knowledge graphs as the source of side information. |
HONGWEI WANG et. al. |
2019 | 5 | (Mis)Information Dissemination In WhatsApp: Gathering, Analyzing And Countermeasures IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we analyze information dissemination within WhatsApp, focusing on publicly accessible political-oriented groups, collecting all shared messages during major social events in Brazil: a national truck drivers’ strike and the Brazilian presidential campaign. |
GUSTAVO RESENDE et. al. |
2019 | 6 | MVAE: Multimodal Variational Autoencoder For Fake News Detection IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose an end-to-end network, Multimodal Variational Autoencoder (MVAE), which uses a bimodal variational autoencoder coupled with a binary classifier for the task of fake news detection. |
Dhruv Khattar; Jaipal Singh Goud; Manish Gupta; Vasudeva Varma; |
2019 | 7 | Google Dataset Search: Building A Search Engine For Datasets In An Open Web Ecosystem IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we discuss Google Dataset Search, a dataset-discovery tool that provides search capabilities over potentially all datasets published on the Web. |
Dan Brickley; Matthew Burgess; Natasha Noy; |
2019 | 8 | Revisiting User Mobility And Social Relationships In LBSNs: A Hypergraph Embedding Approach IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, by revisiting user mobility and social relationships based on a large-scale LBSN dataset collected over a long-term period, we propose LBSN2Vec, a hypergraph embedding approach designed specifically for LBSN data for automatic feature learning. |
Dingqi Yang; Bingqing Qu; Jie Yang; Philippe Cudre-Mauroux; |
2019 | 9 | Efficient Ridesharing Order Dispatching With Mean Field Multi-Agent Reinforcement Learning IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we address the order dispatching problem using multi-agent reinforcement learning (MARL), which follows the distributed nature of the peer-to-peer ridesharing problem and possesses the ability to capture the stochastic demand-supply dynamics in large-scale ridesharing scenarios. |
MINNE LI et. al. |
2019 | 10 | Bi-LSTM-CRF Sequence Labeling For Keyphrase Extraction From Scholarly Documents IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we address the keyphrase extraction problem as sequence labeling and propose a model that jointly exploits the complementary strengths of Conditional Random Fields that capture label dependencies through a transition parameter matrix consisting of the transition probabilities from one label to the neighboring label, and Bidirectional Long Short Term Memory networks that capture hidden semantics in text through the long distance dependencies. |
Rabah Alzaidy; Cornelia Caragea; C. Lee Giles; |
2018 | 1 | Variational Autoencoders For Collaborative Filtering IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This non-linear probabilistic model enables us to go beyond the limited modeling capacity of linear factor models which still largely dominate collaborative filtering research.We introduce a generative model with multinomial likelihood and use Bayesian inference for parameter estimation. |
Dawen Liang; Rahul G. Krishnan; Matthew D. Hoffman; Tony Jebara; |
2018 | 2 | DKN: Deep Knowledge-Aware Network For News Recommendation IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To solve the above problem, in this paper, we propose a deep knowledge-aware network (DKN) that incorporates knowledge graph representation into news recommendation. |
Hongwei Wang; Fuzheng Zhang; Xing Xie; Minyi Guo; |
2018 | 3 | DRN: A Deep Reinforcement Learning Framework For News Recommendation IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel Deep Reinforcement Learning framework for news recommendation. |
GUANJIE ZHENG et. al. |
2018 | 4 | Neural Attentional Rating Regression With Review-level Explanations IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we introduce a novel attention mechanism to explore the usefulness of reviews, and propose a Neural Attentional Regression model with Review-level Explanations (NARRE) for recommendation. |
Chong Chen; Min Zhang; Yiqun Liu; Shaoping Ma; |
2018 | 5 | Unsupervised Anomaly Detection Via Variational Auto-Encoder For Seasonal KPIs In Web Applications IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we proposed Donut, an unsupervised anomaly detection algorithm based on VAE. |
HAOWEN XU et. al. |
2018 | 6 | TEM: Tree-enhanced Embedding Model For Explainable Recommendation IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose a novel solution named Tree-enhanced Embedding Method that combines the strengths of embedding-based and tree-based models. |
Xiang Wang; Xiangnan He; Fuli Feng; Liqiang Nie; Tat-Seng Chua; |
2018 | 7 | Latent Relational Metric Learning Via Memory-based Attention For Collaborative Ranking IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper proposes a new neural architecture for collaborative ranking with implicit feedback. |
Yi Tay; Luu Anh Tuan; Siu Cheung Hui; |
2018 | 8 | DeepMove: Predicting Human Mobility With Attentional Recurrent Networks IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose DeepMove, an attentional recurrent network for mobility prediction from lengthy and sparse trajectories. |
JIE FENG et. al. |
2018 | 9 | Large-Scale Hierarchical Text Classification With Recursively Regularized Deep Graph-CNN IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a graph-CNN based deep learning model to first convert texts to graph-of-words, and then use graph convolution operations to convolve the word graph. |
HAO PENG et. al. |
2018 | 10 | Community Interaction And Conflict On The Web IF:3 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Altogether, this work presents a data-driven view of community interactions and conflict, and paves the way towards healthier online communities. |
Srijan Kumar; William L. Hamilton; Jure Leskovec; Dan Jurafsky; |
2017 | 1 | Neural Collaborative Filtering IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we strive to develop techniques based on neural networks to tackle the key problem in recommendation — collaborative filtering — on the basis of implicit feedback. |
XIANGNAN HE et. al. |
2017 | 2 | Learning To Match Using Local And Distributed Representations Of Text For Web Search IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a novel document ranking model composed of two separate deep neural networks, one that matches the query and the document using a local representation, and another that matches the query and the document using learned distributed representations. |
Bhaskar Mitra; Fernando Diaz; Nick Craswell; |
2017 | 3 | Ex Machina: Personal Attacks Seen At Scale IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: The contribution of this paper is to develop and illustrate a method that combines crowdsourcing and machine learning to analyze personal attacks at scale. |
Ellery Wulczyn; Nithum Thain; Lucas Dixon; |
2017 | 4 | DeepCas: An End-to-end Predictor Of Information Cascades IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present algorithms that learn the representation of cascade graphs in an end-to-end manner, which significantly improve the performance of cascade prediction over strong baselines including feature based methods, node embedding methods, and graph kernel methods. |
Cheng Li; Jiaqi Ma; Xiaoxiao Guo; Qiaozhu Mei; |
2017 | 5 | Collaborative Metric Learning IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we study the connection between metric learning and collaborative filtering. |
CHENG-KANG HSIEH et. al. |
2017 | 6 | CoType: Joint Extraction Of Typed Entities And Relations With Knowledge Bases IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we investigate joint extraction of typed entities and relations with labeled data heuristically obtained from knowledge bases (i.e., distant supervision). |
XIANG REN et. al. |
2017 | 7 | Neural Network-based Question Answering Over Knowledge Graphs On Word And Character Level IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we follow a quite different approach: We train a neural network for answering simple questions in an end-to-end manner, leaving all decisions to the model. |
Denis Lukovnikov; Asja Fischer; Jens Lehmann; Sören Auer; |
2017 | 8 | Explicit Semantic Ranking For Academic Search Via Knowledge Graph Embedding IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper introduces Explicit Semantic Ranking (ESR), a new ranking technique that leverages knowledge graph embedding. |
Chenyan Xiong; Russell Power; Jamie Callan; |
2017 | 9 | What Your Images Reveal: Exploiting Visual Contents For Point-of-Interest Recommendation IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we study the problem of enhancing POI recommendation with visual contents. |
SUHANG WANG et. al. |
2017 | 10 | A Generic Coordinate Descent Framework For Learning From Implicit Feedback IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we provide a new framework for deriving efficient CD algorithms for complex recommender models. |
Immanuel Bayer; Xiangnan He; Bhargav Kanagal; Steffen Rendle; |
2016 | 1 | Ups And Downs: Modeling The Visual Evolution Of Fashion Trends With One-Class Collaborative Filtering IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we build novel models for the One-Class Collaborative Filtering setting, where our goal is to estimate users’ fashion-aware personalized ranking functions based on their past feedback. |
Ruining He; Julian McAuley; |
2016 | 2 | Abusive Language Detection In Online User Content IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we develop a machine learning based method to detect hate speech on online user comments from two domains which outperforms a state-of-the-art deep learning approach. We also develop a corpus of user comments annotated for abusive language, the first of its kind. |
Chikashi Nobata; Joel Tetreault; Achint Thomas; Yashar Mehdad; Yi Chang; |
2016 | 3 | Disinformation On The Web: Impact, Characteristics, And Detection Of Wikipedia Hoaxes IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we study false information on Wikipedia by focusing on the hoax articles that have been created throughout its history. |
Srijan Kumar; Robert West; Jure Leskovec; |
2016 | 4 | Modeling User Exposure In Recommendation IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a new probabilistic approach that directly incorporates user exposure to items into collaborative filtering. |
Dawen Liang; Laurent Charlin; James McInerney; David M. Blei; |
2016 | 5 | Probabilistic Bag-Of-Hyperlinks Model For Entity Linking IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We here propose a probabilistic approach that makes use of an effective graphical model to perform collective entity disambiguation. |
Octavian-Eugen Ganea; Marina Ganea; Aurelien Lucchi; Carsten Eickhoff; Thomas Hofmann; |
2016 | 6 | Addressing Complex And Subjective Product-Related Queries With Customer Reviews IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we hope to fuse these two paradigms: given a large volume of previously answered queries about products, we hope to automatically learn whether a review of a product is relevant to a given query. |
Julian McAuley; Alex Yang; |
2016 | 7 | A Neural Click Model For Web Search IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose an alternative based on the idea of distributed representations: to represent the user’s information need and the information available to the user with a vector state. |
Alexey Borisov; Ilya Markov; Maarten de Rijke; Pavel Serdyukov; |
2016 | 8 | An Empirical Analysis Of Algorithmic Pricing On Amazon Marketplace IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this study, we develop a methodology for detecting algorithmic pricing, and use it empirically to analyze their prevalence and behavior on Amazon Marketplace. |
Le Chen; Alan Mislove; Christo Wilson; |
2016 | 9 | Foundations Of JSON Schema IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we provide the first formal definition of syntax and semantics for JSON Schema and use it to show that implementing this layer on top of JSON is feasible in practice. |
Felipe Pezoa; Juan L. Reutter; Fernando Suarez; Martín Ugarte; Domagoj Vrgoč; |
2016 | 10 | Table Cell Search For Question Answering IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This work proposes a novel table cell search framework to attack this problem. |
HUAN SUN et. al. |
2015 | 1 | A Multi-View Deep Learning Approach For Cross Domain User Modeling In Recommendation Systems IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we propose a content-based recommendation system to address both the recommendation quality and the system scalability. |
Ali Mamdouh Elkahky; Yang Song; Xiaodong He; |
2015 | 2 | Enquiring Minds: Early Detection Of Rumors In Social Media From Enquiry Posts IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a technique to identify trending rumors, which we define as topics that include disputed factual claims. |
Zhe Zhao; Paul Resnick; Qiaozhu Mei; |
2015 | 3 | Statistically Significant Detection Of Linguistic Change IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a new computational approach for tracking and detecting statistically significant linguistic shifts in the meaning and usage of words. |
Vivek Kulkarni; Rami Al-Rfou; Bryan Perozzi; Steven Skiena; |
2015 | 4 | Automatic Online Evaluation Of Intelligent Assistants IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We develop consistent and automatic approaches that can evaluate different tasks in voice-activated intelligent assistants. |
JIEPU JIANG et. al. |
2015 | 5 | PriVaricator: Deceiving Fingerprinters With Little White Lies IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we propose PriVaricator, a solution to the problem of browser-based fingerprinting. |
Nick Nikiforakis; Wouter Joosen; Benjamin Livshits; |
2015 | 6 | GERBIL: General Entity Annotator Benchmarking Framework IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present GERBIL, an evaluation framework for semantic entity annotation. |
RICARDO USBECK et. al. |
2015 | 7 | Cookies That Give You Away: The Surveillance Implications Of Web Tracking IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To evaluate the effectiveness of our attack, we introduce a methodology that combines web measurement and network measurement. |
STEVEN ENGLEHARDT et. al. |
2015 | 8 | LightLDA: Big Topic Models On Modest Computer Clusters IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Our major contributions include: 1) a new, highly-efficient O(1) Metropolis-Hastings sampling algorithm, whose running cost is (surprisingly) agnostic of model size, and empirically converges nearly an order of magnitude more quickly than current state-of-the-art Gibbs samplers; 2) a model-scheduling scheme to handle the big model challenge, where each worker machine schedules the fetch/use of sub-models as needed, resulting in a frugal use of limited memory capacity and network bandwidth; 3) a differential data-structure for model storage, which uses separate data structures for high- and low-frequency words to allow extremely large models to fit in memory, while maintaining high inference speed. |
JINHUI YUAN et. al. |
2015 | 9 | Semantic Annotation Of Mobility Data Using Social Media IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose frequency-based method, Gaussian mixture model, and kernel density estimation (KDE) to tackle this problem. |
Fei Wu; Zhenhui Li; Wang-Chien Lee; Hongjian Wang; Zhuojie Huang; |
2015 | 10 | Effective Techniques For Message Reduction And Load Balancing In Distributed Graph Computation IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose two effective message reduction techniques: (1)vertex mirroring with message combining, and (2)an additional request-respond API. |
Da Yan; James Cheng; Yi Lu; Wilfred Ng; |
2014 | 1 | Can Cascades Be Predicted? IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we develop a framework for addressing cascade prediction problems. |
Justin Cheng; Lada Adamic; P. Alex Dow; Jon Michael Kleinberg; Jure Leskovec; |
2014 | 2 | Engaging With Massive Online Courses IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we use such trace data to develop a conceptual framework for understanding how users currently engage with MOOCs. |
Ashton Anderson; Daniel Huttenlocher; Jon Kleinberg; Jure Leskovec; |
2014 | 3 | Knowledge Base Completion Via Search-based Question Answering IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a way to leverage existing Web-search-based question-answering technology to fill in the gaps in knowledge bases in a targeted way. |
ROBERT WEST et. al. |
2014 | 4 | Test-driven Evaluation Of Linked Data Quality IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a methodology for test-driven quality assessment of Linked Data, which is inspired by test-driven software development. |
DIMITRIS KONTOKOSTAS et. al. |
2014 | 5 | What Makes An Image Popular? IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we show the importance of image cues such as color, gradients, deep learning features and the set of objects present, as well as the importance of various social cues such as number of friends or number of photos uploaded that lead to high or low popularity of images. |
Aditya Khosla; Atish Das Sarma; Raffay Hamid; |
2014 | 6 | Designing And Deploying Online Field Experiments IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We thus introduce a language for online field experiments called PlanOut. |
Eytan Bakshy; Dean Eckles; Michael S. Bernstein; |
2014 | 7 | Quizz: Targeted Crowdsourcing With A Billion (potential) Users IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We describe Quizz, a gamified crowdsourcing system that simultaneously assesses the knowledge of users and acquires new knowledge from them. |
Panagiotis G. Ipeirotis; Evgeniy Gabrilovich; |
2014 | 8 | Reconciling Mobile App Privacy And Usability On Smartphones: Could User Privacy Profiles Help? IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we report on the results of a study analyzing people’s privacy preferences when it comes to granting permissions to different mobile apps. |
Bin Liu; Jialiu Lin; Norman Sadeh; |
2014 | 9 | Exploring The Filter Bubble: The Effect Of Using Recommender Systems On Content Diversity IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We contribute a novel metric to measure content diversity based on information encoded in user-generated tags, and we present a new set of methods to examine the temporal effect of recommender systems on the user experience. |
Tien T. Nguyen; Pik-Mai Hui; F. Maxwell Harper; Loren Terveen; Joseph A. Konstan; |
2014 | 10 | Community-based Bayesian Aggregation Models For Crowdsourcing IF:4 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To mitigate this issue, we propose a novel community-based Bayesian label aggregation model, CommunityBCC, which assumes that crowd workers conform to a few different types, where each type represents a group of workers with similar confusion matrices. |
Matteo Venanzi; John Guiver; Gabriella Kazai; Pushmeet Kohli; Milad Shokouhi; |
2013 | 1 | A Biterm Topic Model For Short Texts IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel way for modeling topics in short texts, referred as biterm topic model (BTM). |
Xiaohui Yan; Jiafeng Guo; Yanyan Lan; Xueqi Cheng; |
2013 | 2 | ClausIE: Clause-based Open Information Extraction IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose ClausIE, a novel, clause-based approach to open information extraction, which extracts relations and their arguments from natural language text. |
Luciano Del Corro; Rainer Gemulla; |
2013 | 3 | WTF: The Who To Follow Service At Twitter IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We describe and evaluate a few graph recommendation algorithms implemented in Cassovary, including a novel approach based on a combination of random walks and SALSA. |
PANKAJ GUPTA et. al. |
2013 | 4 | Distributed Large-scale Natural Graph Factorization IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a framework for large-scale graph decomposition and inference. |
Amr Ahmed; Nino Shervashidze; Shravan Narayanamurthy; Vanja Josifovski; Alexander J. Smola; |
2013 | 5 | Unsupervised Sentiment Analysis With Emotional Signals IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Inspired by the wide availability of emotional signals in social media, we propose to study the problem of unsupervised sentiment analysis with emotional signals. |
Xia Hu; Jiliang Tang; Huiji Gao; Huan Liu; |
2013 | 6 | AMIE: Association Rule Mining Under Incomplete Evidence In Ontological Knowledge Bases IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we develop a rule mining model that is explicitly tailored to support the OWA scenario. |
Luis Antonio Galárraga; Christina Teflioudi; Katja Hose; Fabian Suchanek; |
2013 | 7 | Traveling The Silk Road: A Measurement Analysis Of A Large Anonymous Online Marketplace IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We perform a comprehensive measurement analysis of Silk Road, an anonymous, international online marketplace that operates as a Tor hidden service and uses Bitcoin as its exchange currency. |
Nicolas Christin; |
2013 | 8 | Steering User Behavior With Badges IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we study how badges can influence and steer user behavior on a site—leading both to increased participation and to changes in the mix of activities a user pursues on the site. |
Ashton Anderson; Daniel Huttenlocher; Jon Kleinberg; Jure Leskovec; |
2013 | 9 | CopyCatch: Stopping Group Attacks By Spotting Lockstep Behavior In Social Networks IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we focus on the social network Facebook and the problem of discerning ill-gotten Page Likes, made by spammers hoping to turn a profit, from legitimate Page Likes. |
Alex Beutel; Wanhong Xu; Venkatesan Guruswami; Christopher Palow; Christos Faloutsos; |
2013 | 10 | No Country For Old Members: User Lifecycle And Linguistic Change In Online Communities IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a framework for tracking linguistic change as it happens and for understanding how specific users react to these evolving norms. |
Cristian Danescu-Niculescu-Mizil; Robert West; Dan Jurafsky; Jure Leskovec; Christopher Potts; |
2012 | 1 | Spotting Fake Reviewer Groups In Consumer Reviews IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: For reviews to reflect genuine user experiences and opinions, such spam reviews should be detected. Additionally, we also built a labeled dataset of fake reviewer groups. |
Arjun Mukherjee; Bing Liu; Natalie Glance; |
2012 | 2 | Discovering Geographical Topics In The Twitter Stream IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we focus on Twitter and present an algorithm by modeling diversity in tweets based on topical diversity, geographical diversity, and an interest distribution of the user. |
Liangjie Hong; Amr Ahmed; Siva Gurumurthy; Alexander J. Smola; Kostas Tsioutsiouliklis; |
2012 | 3 | Template-based Question Answering Over RDF Data IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To circumvent this problem, we present a novel approach that relies on a parse of the question to produce a SPARQL template that directly mirrors the internal structure of the question. |
CHRISTINA UNGER et. al. |
2012 | 4 | Understanding And Combating Link Farming In The Twitter Social Network IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To this end, we conducted a detailed analysis of links acquired by over 40,000 spammer accounts suspended by Twitter. |
SAPTARSHI GHOSH et. al. |
2012 | 5 | ZenCrowd: Leveraging Probabilistic Reasoning And Crowdsourcing Techniques For Large-scale Entity Linking IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We tackle the problem of entity linking for large collections of online pages; Our system, ZenCrowd, identifies entities from natural language text using state of the art techniques and automatically connects them to the Linked Open Data cloud. |
Gianluca Demartini; Djellel Eddine Difallah; Philippe Cudré-Mauroux; |
2012 | 6 | Factorizing YAGO: Scalable Machine Learning For Linked Data IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Here, we present an efficient approach to relational learning on LOD data, based on the factorization of a sparse tensor that scales to data consisting of millions of entities, hundreds of relations and billions of known facts. |
Maximilian Nickel; Volker Tresp; Hans-Peter Kriegel; |
2012 | 7 | Dynamical Classes Of Collective Attention In Twitter IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Here we focus on spikes of collective attention in Twitter, and specifically on peaks in the popularity of hashtags. |
Janette Lehmann; Bruno Gonçalves; José J. Ramasco; Ciro Cattuto; |
2012 | 8 | Serf And Turf: Crowdturfing For Fun And Profit IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We describe in this paper a significant effort to study and understand these "crowdturfing" systems in today’s Internet. |
GANG WANG et. al. |
2012 | 9 | Is This App Safe?: A Large Scale Study On Application Permissions And Risk Signals IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We study the effectiveness of user-consent permission systems through a large scale data collection of Facebook apps, Chrome extensions and Android apps. |
Pern Hui Chia; Yusuke Yamamoto; N. Asokan; |
2012 | 10 | YouTube Around The World: Geographic Popularity Of Videos IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work we study the relationship between popularity and locality of online YouTube videos. |
Anders Brodersen; Salvatore Scellato; Mirjam Wattenhofer; |
2011 | 1 | Information Credibility On Twitter IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: On this paper we focus on automatic methods for assessing the credibility of a given set of tweets. |
Carlos Castillo; Marcelo Mendoza; Barbara Poblete; |
2011 | 2 | Differences In The Mechanics Of Information Diffusion Across Topics: Idioms, Political Hashtags, And Complex Contagion On Twitter IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Here we study this issue on Twitter, analyzing the ways in which tokens known as hashtags spread on a network defined by the interactions among Twitter users. |
Daniel M. Romero; Brendan Meeder; Jon Kleinberg; |
2011 | 3 | Who Says What To Whom On Twitter IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We study several longstanding questions in media communications research, in the context of the microblogging service Twitter, regarding the production, flow, and consumption of information. |
Shaomei Wu; Jake M. Hofman; Winter A. Mason; Duncan J. Watts; |
2011 | 4 | Limiting The Spread Of Misinformation In Social Networks IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we study the notion of competing campaigns in a social network and address the problem of influence limitation where a "bad" campaign starts propagating from a certain node in the network and use the notion of limiting campaigns to counteract the effect of misinformation. |
Ceren Budak; Divyakant Agrawal; Amr El Abbadi; |
2011 | 5 | Prophiler: A Fast Filter For The Large-scale Detection Of Malicious Web Pages IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we describe the design and implementation of such a filter. |
Davide Canali; Marco Cova; Giovanni Vigna; Christopher Kruegel; |
2011 | 6 | EP-SPARQL: A Unified Language For Event Processing And Stream Reasoning IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To bridge the gap, we propose Event Processing SPARQL (EP-SPARQL) as a new language for complex events and Stream Reasoning. We provide an open-source prototype implementation and present a set of tests to show the usefulness and effectiveness of our approach. |
Darko Anicic; Paul Fodor; Sebastian Rudolph; Nenad Stojanovic; |
2011 | 7 | Counting Triangles And The Curse Of The Last Reducer IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Our contributions are twofold. |
Siddharth Suri; Sergei Vassilvitskii; |
2011 | 8 | Geographical Topic Discovery And Comparison IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we are interested in two questions: (1) how to discover different topics of interests that are coherent in geographical regions? To make a fair comparison, we collect several representative datasets from Flickr website including Landscape, Activity, Manhattan, National park, Festival, Car, and Food. |
Zhijun Yin; Liangliang Cao; Jiawei Han; Chengxiang Zhai; Thomas Huang; |
2011 | 9 | Layered Label Propagation: A Multiresolution Coordinate-free Ordering For Compressing Social Networks IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a solution that mixes clusterings and orders, and devise a new algorithm, called Layered Label Propagation, that builds on previous work on scalable clustering and can be used to reorder very large graphs (billions of nodes). |
Paolo Boldi; Marco Rosa; Massimo Santini; Sebastiano Vigna; |
2011 | 10 | A Word At A Time: Computing Word Relatedness Using Temporal Semantic Analysis IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a new semantic relatedness model, Temporal Semantic Analysis (TSA), which captures this temporal information. |
Kira Radinsky; Eugene Agichtein; Evgeniy Gabrilovich; Shaul Markovitch; |
2010 | 1 | What Is Twitter, A Social Network Or A News Media? IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: The goal of this paper is to study the topological characteristics of Twitter and its power as a new medium of information sharing. |
Haewoon Kwak; Changhyun Lee; Hosung Park; Sue Moon; |
2010 | 2 | Earthquake Shakes Twitter Users: Real-time Event Detection By Social Sensors IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: As described in this paper, we investigate the real-time interaction of events such as earthquakes in Twitter and propose an algorithm to monitor tweets and to detect a target event. |
Takeshi Sakaki; Makoto Okazaki; Yutaka Matsuo; |
2010 | 3 | A Contextual-bandit Approach To Personalized News Article Recommendation IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we model personalized recommendation of news articles as a contextual bandit problem, a principled approach in which a learning algorithm sequentially selects articles to serve users based on contextual information about the users and articles, while simultaneously adapting its article-selection strategy based on user-click feedback to maximize total user clicks. |
Lihong Li; Wei Chu; John Langford; Robert E. Schapire; |
2010 | 4 | Detection And Analysis Of Drive-by-download Attacks And Malicious JavaScript Code IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents a novel approach to the detection and analysis of malicious JavaScript code. |
Marco Cova; Christopher Kruegel; Giovanni Vigna; |
2010 | 5 | Factorizing Personalized Markov Chains For Next-basket Recommendation IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present a method bringing both approaches together. |
Steffen Rendle; Christoph Freudenthaler; Lars Schmidt-Thieme; |
2010 | 6 | Find Me If You Can: Improving Geographical Prediction With Social And Spatial Proximity IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Using these measurements, we introduce an algorithm that predicts the location of an individual from a sparse set of located users with performance that exceeds IP-based geolocation. |
Lars Backstrom; Eric Sun; Cameron Marlow; |
2010 | 7 | Modeling Relationship Strength In Online Social Networks IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we develop an unsupervised model to estimate relationship strength from interaction activity (e.g., communication, tagging) and user similarity. |
Rongjing Xiang; Jennifer Neville; Monica Rogati; |
2010 | 8 | Collaborative Location And Activity Recommendations With GPS History Data IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we show that, by using the location data based on GPS and users’ comments at various locations, we can discover interesting locations and possible activities that can be performed there for recommendations. |
Vincent W. Zheng; Yu Zheng; Xing Xie; Qiang Yang; |
2010 | 9 | Web-scale K-means Clustering IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present two modifications to the popular k-means clustering algorithm to address the extreme requirements for latency, scalability, and sparsity encountered in user-facing web applications. |
D. Sculley; |
2010 | 10 | Cross-domain Sentiment Classification Via Spectral Feature Alignment IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this cross-domain sentiment classification setting, to bridge the gap between the domains, we propose a spectral feature alignment (SFA) algorithm to align domain-specific words from different domains into unified clusters, with the help of domain-independent words as a bridge. |
Sinno Jialin Pan; Xiaochuan Ni; Jian-Tao Sun; Qiang Yang; Zheng Chen; |
2009 | 1 | Mining Interesting Locations And Travel Sequences From GPS Trajectories IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, based on multiple users’ GPS trajectories, we aim to mine interesting locations and classical travel sequences in a given geospatial region. |
Yu Zheng; Lizhu Zhang; Xing Xie; Wei-Ying Ma; |
2009 | 2 | Mapping The World’s Photos IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We investigate how to organize a large collection of geotagged photos, working with a dataset of about 35 million images collected from Flickr. |
David J. Crandall; Lars Backstrom; Daniel Huttenlocher; Jon Kleinberg; |
2009 | 3 | A Measurement-driven Analysis Of Information Propagation In The Flickr Social Network IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we collect and analyze large-scale traces of information dissemination in the Flickr social network. |
Meeyoung Cha; Alan Mislove; Krishna P. Gummadi; |
2009 | 4 | Combining Global Optimization With Local Selection For Efficient QoS-aware Service Composition IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we address this problem and propose a solution that combines global optimization with local selection techniques to benefit from the advantages of both worlds. |
Mohammad Alrifai; Thomas Risse; |
2009 | 5 | All Your Contacts Are Belong To Us: Automated Identity Theft Attacks On Social Networks IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we investigate how easy it would be for a potential attacker to launch automated crawling and identity theft attacks against a number of popular social networking sites in order to gain access to a large volume of personal user information. |
Leyla Bilge; Thorsten Strufe; Davide Balzarotti; Engin Kirda; |
2009 | 6 | To Join Or Not To Join: The Illusion Of Privacy In Social Networks With Mixed Public And Private User Profiles IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we show how an adversary can exploit an online social network with a mixture of public and private user profiles to predict the private attributes of users. |
Elena Zheleva; Lise Getoor; |
2009 | 7 | Tag Ranking IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a tag ranking scheme, aiming to automatically rank the tags associated with a given image according to their relevance to the image content. |
Dong Liu; Xian-Sheng Hua; Linjun Yang; Meng Wang; Hong-Jiang Zhang; |
2009 | 8 | A Dynamic Bayesian Network Click Model For Web Search Ranking IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a Dynamic Bayesian Network which aims at providing us with unbiased estimation of the relevance from the click logs. |
Olivier Chapelle; Ya Zhang; |
2009 | 9 | How Much Can Behavioral Targeting Help Online Advertising? IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To answer this question, in this paper we provide an empirical study on the click-through log of advertisements collected from a commercial search engine. |
JUN YAN et. al. |
2009 | 10 | An Axiomatic Approach For Result Diversification IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We conduct a large scale evaluation of our objectives based on two data sets: a data set derived from the Wikipedia disambiguation pages and a product database. We develop a set of natural axioms that a diversification system is expected to satisfy, and show that no diversification function can satisfy all the axioms simultaneously. |
Sreenivas Gollapudi; Aneesh Sharma; |
2008 | 1 | Flickr Tag Recommendation Based On Collective Knowledge IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we investigate how we can assist users in the tagging phase. |
Börkur Sigurbjörnsson; Roelof van Zwol; |
2008 | 2 | Knowledge Sharing And Yahoo Answers: Everyone Knows Something IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we seek to understand YA’s knowledge sharing and activity. |
Lada A. Adamic; Jun Zhang; Eytan Bakshy; Mark S. Ackerman; |
2008 | 3 | Statistical Properties Of Community Structure In Large Social And Information Networks IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we characterize as a function of size the statistical and structural properties of such sets of nodes. |
Jure Leskovec; Kevin J. Lang; Anirban Dasgupta; Michael W. Mahoney; |
2008 | 4 | Planetary-scale Views On A Large Instant-messaging Network IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a study of anonymized data capturing a month of high-level communication activities within the whole of the Microsoft Messenger instant-messaging system. |
Jure Leskovec; Eric Horvitz; |
2008 | 5 | Video Suggestion And Discovery For Youtube: Taking Random Walks Through The View Graph IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present a novel method based upon the analysis of the entire user-video graph to provide personalized video suggestions for users. |
SHUMEET BALUJA et. al. |
2008 | 6 | Modeling Online Reviews With Multi-grain Topic Models IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we present a novel framework for extracting the ratable aspects of objects from online user reviews. |
Ivan Titov; Ryan McDonald; |
2008 | 7 | Investigating Web Services On The World Wide Web IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work, we conduct a thorough analytical investigation on the plurality of Web service interfaces that exist on the Web today. |
Eyhab Al-Masri; Qusay H. Mahmoud; |
2008 | 8 | Learning Transportation Mode From Raw Gps Data For Geographic Applications On The Web IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, an approach based on supervised learning is proposed to automatically infer transportation mode from raw GPS data. |
Yu Zheng; Like Liu; Longhao Wang; Xing Xie; |
2008 | 9 | Generating Diverse And Representative Image Search Results For Landmarks IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present an approach to extracting tags that represent landmarks. |
Lyndon S. Kennedy; Mor Naaman; |
2008 | 10 | Tag-based Social Interest Discovery IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a novel social interest discovery approach based on user-generated tags. |
Xin Li; Lei Guo; Yihong Eric Zhao; |
2007 | 1 | Google News Personalization: Scalable Online Collaborative Filtering IF:10 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we describe our approach to collaborative filtering for generating personalized recommendations for users of Google News. |
Abhinandan S. Das; Mayur Datar; Ashutosh Garg; Shyam Rajaram; |
2007 | 2 | A Large-scale Study Of Web Password Habits IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We report the results of a large scale study of password use andpassword re-use habits. |
Dinei Florencio; Cormac Herley; |
2007 | 3 | Predicting Clicks: Estimating The Click-through Rate For New Ads IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We show that we can use features of ads, terms, and advertisers to learn a model that accurately predicts the click-though rate for new ads. |
Matthew Richardson; Ewa Dominowska; Robert Ragno; |
2007 | 4 | Yago: A Core Of Semantic Knowledge IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present YAGO, a light-weight and extensible ontology with high coverage and quality. |
Fabian M. Suchanek; Gjergji Kasneci; Gerhard Weikum; |
2007 | 5 | Expertise Networks In Online Communities: Structure And Algorithms IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this study, we analyze the Java Forum, a large online help-seeking community, using social network analysis methods. |
Jun Zhang; Mark S. Ackerman; Lada Adamic; |
2007 | 6 | Topic Sentiment Mixture: Modeling Facets And Opinions In Weblogs IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we define the problem of topic-sentiment analysis on Weblogs and propose a novel probabilistic model to capture the mixture of topics and sentiments simultaneously. |
Qiaozhu Mei; Xu Ling; Matthew Wondra; Hang Su; ChengXiang Zhai; |
2007 | 7 | Cantina: A Content-based Approach To Detecting Phishing Web Sites IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present the design, implementation, and evaluation of CANTINA, a novel, content-based approach to detecting phishing web sites, based on the TF-IDF information retrieval algorithm. |
Yue Zhang; Jason I. Hong; Lorrie F. Cranor; |
2007 | 8 | Analysis Of Topological Characteristics Of Huge Online Social Networking Services IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we compare the structures of three online social networking services: Cyworld, MySpace, and orkut, each with more than 10 million users, respectively. |
Yong-Yeol Ahn; Seungyeop Han; Haewoon Kwak; Sue Moon; Hawoong Jeong; |
2007 | 9 | Learning To Detect Phishing Emails IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a method for detecting these attacks, which in its most general form is an application of machine learning on a feature set designed to highlight user-targeted deception in electronic communication. |
Ian Fette; Norman Sadeh; Anthony Tomasic; |
2007 | 10 | Scaling Up All Pairs Similarity Search IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose a simple algorithm based on novel indexing and optimization strategies that solves this problem without relying on approximation methods or extensive parameter tuning. |
Roberto J. Bayardo; Yiming Ma; Ramakrishnan Srikant; |
2006 | 1 | A Web-based Kernel Function For Measuring The Similarity Of Short Text Snippets IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we define such a similarity kernel function, mathematically analyze some of its properties, and provide examples of its efficacy. |
Mehran Sahami; Timothy D. Heilman; |
2006 | 2 | Generating Query Substitutions IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We introduce the notion of query substitution, that is, generating a new query to replace a user’s original search query. |
Rosie Jones; Benjamin Rey; Omid Madani; Wiley Greiner; |
2006 | 3 | Detecting Spam Web Pages Through Content Analysis IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we continue our investigations of "web spam": the injection of artificially-created pages into the web in order to influence the results from search engines, to drive traffic to certain pages for fun or profit. |
Alexandros Ntoulas; Marc Najork; Mark Manasse; Dennis Fetterly; |
2006 | 4 | Semantic Wikipedia IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Wikipedia is the world’s largest collaboratively edited source of encyclopaedic knowledge. But in spite of its utility, its contents are barely machine-interpretable. Structural … |
Max Völkel; Markus Krötzsch; Denny Vrandecic; Heiko Haller; Rudi Studer; |
2006 | 5 | Automatic Identification Of User Interest For Personalized Search IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we study how a search engine can learn a user’s preference automatically based on her past click history and how it can use the user preference to personalize search results. |
Feng Qiu; Junghoo Cho; |
2006 | 6 | Improved Annotation Of The Blogosphere Via Autotagging And Hierarchical Clustering IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We analyze the effectiveness of tags for classifying blog entries by gathering the top 350 tags from Technorati and measuring the similarity of all articles that share a tag. |
Christopher H. Brooks; Nancy Montanez; |
2006 | 7 | Finding Advertising Keywords On Web Pages IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We describe a system that learns how to extract keywords from web pages for advertisement targeting. |
Wen-tau Yih; Joshua Goodman; Vitor R. Carvalho; |
2006 | 8 | Exploring Social Annotations For The Semantic Web IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we explore a complement approach that focuses on the "social annotations of the web" which are annotations manually made by normal web users without a pre-defined formal ontology. |
Xian Wu; Lei Zhang; Yong Yu; |
2006 | 9 | Knowing The User’s Every Move: User Activity Tracking For Website Usability Evaluation And Implicit Interaction IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we investigate how detailed tracking of user interaction can be monitored using standard web technologies. |
Richard Atterer; Monika Wnuk; Albrecht Schmidt; |
2006 | 10 | Visualizing Tags Over Time IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a new approach based on a characterization of the most interesting tags associated with a sliding interval of time. |
MICAH DUBINKO et. al. |
2005 | 1 | Opinion Observer: Analyzing And Comparing Opinions On The Web IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper focuses on online customer reviews of products. |
Bing Liu; Minqing Hu; Junsheng Cheng; |
2005 | 2 | Improving Recommendation Lists Through Topic Diversification IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this work we present topic diversification, a novel method designed to balance and diversify personalized recommendation lists in order to reflect the user’s complete spectrum of interests. |
Cai-Nicolas Ziegler; Sean M. McNee; Joseph A. Konstan; Georg Lausen; |
2005 | 3 | Web Data Extraction Based On Partial Tree Alignment IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper proposes a new method to perform the task automatically. |
Yanhong Zhai; Bing Liu; |
2005 | 4 | Automatic Identification Of User Goals In Web Search IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we study whether and how we can automate this goal-identification process. |
Uichin Lee; Zhenyu Liu; Junghoo Cho; |
2005 | 5 | Named Graphs, Provenance And Trust IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: The extension of RDF to Named Graphs provides a formally defined framework to be a foundation for the Semantic Web trust layer. |
Jeremy J. Carroll; Christian Bizer; Pat Hayes; Patrick Stickler; |
2005 | 6 | Object-level Ranking: Bringing Order To Web Objects IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper introduces PopRank, a domain-independent object-level link analysis model to rank the objects within a specific domain. |
Zaiqing Nie; Yuanzhi Zhang; Ji-Rong Wen; Wei-Ying Ma; |
2005 | 7 | CubeSVD: A Novel Approach To Personalized Web Search IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, a novel approach CubeSVD is proposed to improve Web search. |
Jian-Tao Sun; Hua-Jun Zeng; Huan Liu; Yuchang Lu; Zheng Chen; |
2005 | 8 | Fully Automatic Wrapper Generation For Search Engines IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we present a technique for automatically producing wrappers that can be used to extract search result records from dynamically generated result pages returned by search engines. |
Hongkun Zhao; Weiyi Meng; Zonghuan Wu; Vijay Raghavan; Clement Yu; |
2005 | 9 | Disambiguating Web Appearances Of People In A Social Network IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper presents two unsupervised frameworks for solving this problem: one based on link structure of the Web pages, another using Agglomerative/Conglomerative Double Clustering (A/CDC)—an application of a recently introduced multi-way distributional clustering method. To evaluate our methods, we collected and hand-labeled a dataset of over 1000 Web pages retrieved from Google queries on 12 personal names appearing together in someones in an email folder. |
Ron Bekkerman; Andrew McCallum; |
2005 | 10 | TrustGuard: Countering Vulnerabilities In Reputation Management For Decentralized Overlay Networks IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we identify three vulnerabilities that are detrimental to decentralized reputation management and propose TrustGuard – a safeguard framework for providing a highly dependable and yet efficient reputation system. First, we provide a dependable trust model and a set of formal methods to handle strategic malicious nodes that continuously change their behavior to gain unfair advantages in the system. |
Mudhakar Srivatsa; Li Xiong; Ling Liu; |
2004 | 1 | Propagation Of Trust And Distrust IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We develop a framework of trust propagation schemes, each of which may be appropriate in certain circumstances, and evaluate the schemes on a large trust network consisting of 800K trust scores expressed among 130K people. |
R. Guha; Ravi Kumar; Prabhakar Raghavan; Andrew Tomkins; |
2004 | 2 | Understanding User Goals In Web Search IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we describe a framework for understanding the underlying goals of user searches, and our experience in using the framework to manually classify queries from a web search engine. |
Daniel E. Rose; Danny Levinson; |
2004 | 3 | Information Diffusion Through Blogspace IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We propose, validate, and employ an algorithm to induce the underlying propagation network from a sequence of posts, and report on the results. |
Daniel Gruhl; R. Guha; David Liben-Nowell; Andrew Tomkins; |
2004 | 4 | Adaptive Web Search Based On User Profile Constructed Without Any Effort From Users IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: Web search engines help users find useful information on the World Wide Web (WWW). However, when the same query is submitted by different users, typical search engines return the … |
Kazunari Sugiyama; Kenji Hatano; Masatoshi Yoshikawa; |
2004 | 5 | Web-scale Information Extraction In Knowitall: (preliminary Results) IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: The paper analyzes KnowItAll’s architecture and reports on lessons learned for the design of large-scale information extraction systems. |
OREN ETZIONI et. al. |
2004 | 6 | Accurate, Scalable In-network Identification Of P2p Traffic Using Application Signatures IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Our measurements show thatour technique achieves less than 5% false positive and false negative ratios in most cases. |
Subhabrata Sen; Oliver Spatscheck; Dongmei Wang; |
2004 | 7 | The Webgraph Framework I: Compression Techniques IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This papers presents the compression techniques used in WebGraph, which are centred around referentiation and intervalisation (which in turn are dual to each other). |
P. Boldi; S. Vigna; |
2004 | 8 | Securing Web Application Code By Static Analysis And Runtime Protection IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we describe a sound and holistic approach to ensuring Web application security. |
YAO-WEN HUANG et. al. |
2004 | 9 | Analysis Of Interacting BPEL Web Services IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a framework where BPEL specifications of web services are translated to an intermediate representation, followed by the translation of the intermediate representation to a verification language. This paper presents a set of tools and techniques for analyzing interactions of composite web services which are specified in BPEL and communicate through asynchronous XML messages. |
Xiang Fu; Tevfik Bultan; Jianwen Su; |
2004 | 10 | Shilling Recommender Systems For Fun And Profit IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper explores four open questions that may affect the effectiveness of such shilling attacks: which recommender algorithm is being used, whether the application is producing recommendations or predictions, how detectable the attacks are by the operator of the system, and what the properties are of the items being attacked. |
Shyong K. Lam; John Riedl; |
2003 | 1 | Scaling Personalized Web Search IF:10 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present new graph-theoretical results, and a new technique based on these results, that encode personalized views as partial vectors. |
Glen Jeh; Jennifer Widom; |
2003 | 2 | The Eigentrust Algorithm For Reputation Management In P2P Networks IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We present a distributed and secure method to compute global trust values, based on Power iteration. |
Sepandar D. Kamvar; Mario T. Schlosser; Hector Garcia-Molina; |
2003 | 3 | Mining The Peanut Gallery: Opinion Extraction And Semantic Classification Of Product Reviews IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We begin by identifying the unique properties of this problem and develop a method for automatically distinguishing between positive and negative reviews. |
Kushal Dave; Steve Lawrence; David M. Pennock; |
2003 | 4 | Quality Driven Web Services Composition IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we advocate that the selection of component services should be carried out during the execution of a composite service, rather than at design-time. |
Liangzhao Zeng; Boualem Benatallah; Marlon Dumas; Jayant Kalagnanam; Quan Z. Sheng; |
2003 | 5 | Description Logic Programs: Combining Logic Programs With Description Logic IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We show how to interoperate, semantically and inferentially, between the leading Semantic Web approaches to rules (RuleML Logic Programs) and ontologies (OWL/DAML+OIL Description Logic) via analyzing their expressive intersection. |
Benjamin N. Grosof; Ian Horrocks; Raphael Volz; Stefan Decker; |
2003 | 6 | Semantic Search IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we present an application called ‘Semantic Search’ which is built on these supporting technologies and is designed to improve traditional web searching. |
R. Guha; Rob McCool; Eric Miller; |
2003 | 7 | A Software Framework For Matchmaking Based On Semantic Web Technology IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In particular, we describe the design and implementation of a service matchmaking prototype which uses a DAML-S based ontology and a Description Logic reasoner to compare ontology based service descriptions. |
Lei Li; Ian Horrocks; |
2003 | 8 | SemTag And Seeker: Bootstrapping The Semantic Web Via Automated Semantic Annotation IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: This paper describes Seeker, a platform for large-scale text analytics, and SemTag, an application written on the platform to perform automated semantic tagging of large corpora. |
STEPHEN DILL et. al. |
2003 | 9 | Detecting Web Page Structure For Adaptive Viewing On Small Form Factor Devices IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a new browsing convention to facilitate navigation and reading on a small-form-factor device. |
Yu Chen; Wei-Ying Ma; Hong-Jiang Zhang; |
2003 | 10 | Web Application Security Assessment By Fault Injection And Behavior Monitoring IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We describe the use of a number of software-testing techniques (including dynamic analysis, black-box testing, fault injection, and behavior monitoring), and suggest mechanisms for applying these techniques to Web applications. |
Yao-Wen Huang; Shih-Kun Huang; Tsung-Po Lin; Chung-Hung Tsai; |
2002 | 1 | Topic-sensitive PageRank IF:10 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: To yield more accurate search results, we propose computing a set of PageRank vectors, biased using a set of representative topics, to capture more accurately the notion of importance with respect to a particular topic. |
Taher H. Haveliwala; |
2002 | 2 | Learning To Map Between Ontologies On The Semantic Web IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We describe a set of experiments on several real-world domains, and show that glue proposes highly accurate semantic mappings. |
AnHai Doan; Jayant Madhavan; Pedro Domingos; Alon Halevy; |
2002 | 3 | EDUTELLA: A P2P Networking Infrastructure Based On RDF IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we discuss the open source project Edutella which builds upon metadata standards defined for the WWW and aims to provide an RDF-based metadata infrastructure for P2P applications, building on the recently announced JXTA Framework. |
WOLFGANG NEJDL et. al. |
2002 | 4 | Simulation, Verification And Automated Composition Of Web Services IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Our objective is to enable markup and automated reasoning technology to describe, simulate, compose, test, and verify compositions of Web services. |
Srini Narayanan; Sheila A. McIlraith; |
2002 | 5 | Flash Crowds And Denial Of Service Attacks: Characterization And Implications For CDNs And Web Sites IF:8 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We therefore propose an enhancement to CDNs that offers better protection and use trace-driven simulations to study the effect of our enhancement on CDNs and Web sites. |
Jaeyeon Jung; Balachander Krishnamurthy; Michael Rabinovich; |
2002 | 6 | RQL: A Declarative Query Language For RDF IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper, we propose a new RDF query language called RQL. |
Gregory Karvounarakis; Sofia Alexaki; Vassilis Christophides; Dimitris Plexousakis; Michel Scholl; |
2002 | 7 | Probabilistic Query Expansion Using Query Logs IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this study, we propose a new method for query expansion based on query logs. |
Hang Cui; Ji-Rong Wen; Jian-Yun Nie; Wei-Ying Ma; |
2002 | 8 | Using Web Structure For Classifying And Describing Web Pages IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: Results show that the text in citing documents, when available, often has greater discriminative and descriptive power than the text in the target document itself. |
Eric J. Glover; Kostas Tsioutsiouliklis; Steve Lawrence; David M. Pennock; Gary W. Flake; |
2002 | 9 | Parallel Crawlers IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: In this paper we study how we can design an effective parallel crawler. |
Junghoo Cho; Hector Garcia-Molina; |
2002 | 10 | Template Detection Via Data Mining And Its Applications IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Highlight: We formulate and propose the template detection problem, and suggest a practical solution for it based on counting frequent item sets. |
Ziv Bar-Yossef; Sridhar Rajagopalan; |
2001 | 1 | Item-based Collaborative Filtering Recommendation Algorithms IF:9 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. … |
Badrul Sarwar; George Karypis; Joseph Konstan; John Riedl; |
2001 | 2 | Clustering User Queries Of A Search Engine IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. … |
Ji-Rong Wen; Jian-Yun Nie; Hong-Jiang Zhang; |
2001 | 3 | Scaling Question Answering To The Web IF:7 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. … |
Cody C. T. Kwok; Oren Etzioni; Daniel S. Weld; |
2001 | 4 | Keys For XML IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. … |
Peter Buneman; Susan Davidson; Wenfei Fan; Carmem Hara; Wang-Chiew Tan; |
2001 | 5 | Geospatial Mapping And Navigation Of The Web IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. … |
Kevin S. McCurley; |
2001 | 6 | Intelligent Crawling On The World Wide Web With Arbitrary Predicates IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. … |
Charu C. Aggarwal; Fatima Al-Garawi; Philip S. Yu; |
2001 | 7 | Segment-based Proxy Caching Of Multimedia Streams IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. … |
Kun-Lung Wu; Philip S. Yu; Joel L. Wolf; |
2001 | 8 | An Adaptive Model For Optimizing Performance Of An Incremental Web Crawler IF:6 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. … |
Jenny Edwards; Kevin McCurley; John Tomlin; |
2001 | 9 | Adaptive Push-pull: Disseminating Dynamic Web Data IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. … |
Pavan Deolasee; Amol Katkar; Ankur Panchbudhe; Krithi Ramamritham; Prashant Shenoy; |
2001 | 10 | Designing Personalized Web Applications IF:5 Related Papers Related Patents Related Grants Related Orgs Related Experts Details Abstract: No abstract available. … |
Gustavo Rossi; Daniel Schwabe; Robson Guimarães; |