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Most Influential SIGIR 1992 Paper · 2026-03 edition

Parameterised Compression For Sparse Bitmaps

Alistair Moffat; Justin Zobel

Venue
ACM SIGIR Conference (SIGIR) 1992
Recognition
Most Influential SIGIR 1992 Paper (Rank No. 14)
Edition
2026-03
Impact factor
4
Certificate ID
2be51e34a476d4eb

Abstract

Full-text retrieval systems often use either a bitmap or an inverted file to identify which documents contain which terms, so that the documents containing any combination of query terms can be quickly located. Bitmaps of term occurrences are large, but are usually sparse, and thus are amenable to a variety of compression techniques. Here we consider techniques in which the encoding of each bitvector within the bitmap is parameterised, so that a different code can be used for each bitvector. Our experimental results show that the new methods yield better compression than previous techniques.

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