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Bitlist: New Full-text Index for Low Space Cost and Efficient Keyword Search

Summary: Bitlist presents a compact full-text index encoding a set of document IDs into a single number, enabling extremely low space. Boolean search via bitwise ops; 36.7% less space and 61.9% faster than inverted-list compression, with similar runtime and much lower space than prior work. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10829
Venue
VLDB
Year
2013
Pagerank
5.5786605e-05
Overall Rank
7,629 | 47.66%
DOI
10.14778/2536258.2536264

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{rao_vldb13,
        title = {{Bitlist: New Full-text Index for Low Space Cost and Efficient Keyword Search}},
        author = {Rao, Weixiong and Chen, Lei and Hui, Pan and Tarkoma, Sasu},
        journal = {PVLDB},
        series = {{VLDB} '13},
        volume = {6},
        number = {13},
        pages = {1522--1533},
        doi = {10.14778/2536258.2536264},
        url = {https://doi.org/10.14778/2536258.2536264},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

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Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
5 Optimal Aggregation Algorithms for Middleware [Extended Abstract] 2001 PODS 0.0010828372
2,245 Fast Set Intersection in Memory 2011 VLDB 8.8734284e-05
3,912 Compressing Large Boolean Matrices Using Reordering Techniques 2004 VLDB 7.0231849e-05
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