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ANS-Based Index Compression

Published: 06 November 2017 Publication History

Abstract

Techniques for effectively representing the postings lists associated with inverted indexes have been studied for many years. Here we combine the recently developed "asymmetric numeral systems" (ANS) approach to entropy coding and a range of previous index compression methods, including VByte, Simple, and Packed. The ANS mechanism allows each of them to provide markedly improved compression effectiveness, at the cost of slower decoding rates. Using the 426 GB GOV2 collection, we show that the combination of blocking and ANS-based entropy-coding against a set of 16 magnitude-based probability models yields compression effectiveness superior to most previous mechanisms, while still providing reasonable decoding speed.

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cover image ACM Conferences
CIKM '17: Proceedings of the 2017 ACM on Conference on Information and Knowledge Management
November 2017
2604 pages
ISBN:9781450349185
DOI:10.1145/3132847
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 06 November 2017

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Author Tags

  1. asymmetric numeral systems
  2. entropy coder
  3. index compression
  4. inverted index
  5. postings list

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CIKM '17 Paper Acceptance Rate 171 of 855 submissions, 20%;
Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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  • (2024)An Asymmetric Encoding - Decoding Scheme for Lossless Data Compression2024 IEEE International Symposium on Information Theory (ISIT)10.1109/ISIT57864.2024.10619702(55-60)Online publication date: 7-Jul-2024
  • (2023)Rescaling of Symbol Counts for Adaptive rANS Coding2023 31st European Signal Processing Conference (EUSIPCO)10.23919/EUSIPCO58844.2023.10289961(585-589)Online publication date: 4-Sep-2023
  • (2023)A Novel ANS Coding with Low Computational Complexity2023 IEEE/CIC International Conference on Communications in China (ICCC Workshops)10.1109/ICCCWorkshops57813.2023.10233773(1-6)Online publication date: 10-Aug-2023
  • (2022)A Review of the Asymmetric Numeral System and Its Applications to Digital ImagesEntropy10.3390/e2403037524:3(375)Online publication date: 7-Mar-2022
  • (2022)Improved structures to solve aggregated queries for trips over public transportation networksInformation Sciences: an International Journal10.1016/j.ins.2021.10.079584:C(752-783)Online publication date: 1-Jan-2022
  • (2021)Redundancy and Optimization of tANS Entropy EncodersIEEE Transactions on Multimedia10.1109/TMM.2020.304054723(4341-4350)Online publication date: 2021
  • (2020)Techniques for Inverted Index CompressionACM Computing Surveys10.1145/341514853:6(1-36)Online publication date: 6-Dec-2020
  • (2019)Huffman CodingACM Computing Surveys10.1145/334255552:4(1-35)Online publication date: 30-Aug-2019
  • (2019)Fast Dictionary-Based Compression for Inverted IndexesProceedings of the Twelfth ACM International Conference on Web Search and Data Mining10.1145/3289600.3290962(6-14)Online publication date: 30-Jan-2019
  • (2019)Fast Construction of Almost Optimal Symbol Distributions for Asymmetric Numeral Systems2019 IEEE International Symposium on Information Theory (ISIT)10.1109/ISIT.2019.8849430(1682-1686)Online publication date: Jul-2019
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