SIGIR-2017 Paper Digest

ID	Paper	Authors	Source	Date
1	Neural Factorization Machines For Sparse Predictive Analytics IF:9 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: In this paper, we propose a novel model Neural Factorization Machine (NFM) for prediction under sparse settings.	Xiangnan He; Tat-Seng Chua;	sigir	2017-07-29
2	Attentive Collaborative Filtering: Multimedia Recommendation With Item- And Component-Level Attention IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: In this paper, we introduce a novel attention mechanism in CF to address the challenging item- and component-level implicit feedback in multimedia recommendation, dubbed Attentive Collaborative Filtering (ACF).	Jingyuan Chen; Hanwang Zhang; Xiangnan He et al.	sigir	2017-07-29
3	Deep Learning For Extreme Multi-label Text Classification IF:8 Related Papers Related Patents Related Grants Related Venues Related Experts View Save Highlight: This paper presents the first attempt at applying deep learning to XMTC, with a family of new Convolutional Neural Network (CNN) models which are tailored for multi-label classification in particular.	Jingzhou Liu; Wei-Cheng Chang; Yuexin Wu et al.	sigir	2017-07-29
4	End-to-End Neural Ad-hoc Ranking With Kernel Pooling IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: This paper proposes K-NRM, a kernel based neural model for document ranking.	Chenyan Xiong; Zhuyun Dai; Jamie Callan et al.	sigir	2017-07-29
5	IRGAN: A Minimax Game For Unifying Generative And Discriminative Information Retrieval Models IF:7 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Save Highlight: We propose a game theoretical minimax game to iteratively optimise both models.	Jun Wang; Lantao Yu; Weinan Zhang et al.	sigir	2017-07-29

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