Top-k document retrieval in optimal space

Dekel Tsur

doi:10.1016/j.ipl.2013.03.012

Top-k document retrieval in optimal space

Dekel Tsur

Department of Computer Science

Research output: Contribution to journal › Article › peer-review

20 Scopus citations

Abstract

We present an index for top-k most frequent document retrieval whose space is |CSA|+o(n)+DlognD+O(D) bits, and its query time is O(logklog2 ^+Ïμn) per reported document, where D is the number of documents, n is the sum of lengths of the documents, and |CSA| is the space of the compressed suffix array for the documents. This improves over previous results for this problem, whose space complexities are |CSA|+ω(n) or 2|CSA|+ω(1).

Original language	English
Pages (from-to)	440-443
Number of pages	4
Journal	Information Processing Letters
Volume	113
Issue number	12
DOIs	https://doi.org/10.1016/j.ipl.2013.03.012
State	Published - 17 Apr 2013

Keywords

Data structures
Document retrieval
Text indexing

ASJC Scopus subject areas

Theoretical Computer Science
Signal Processing
Information Systems
Computer Science Applications

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10.1016/j.ipl.2013.03.012

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AB - We present an index for top-k most frequent document retrieval whose space is |CSA|+o(n)+DlognD+O(D) bits, and its query time is O(logklog2 +Ïμn) per reported document, where D is the number of documents, n is the sum of lengths of the documents, and |CSA| is the space of the compressed suffix array for the documents. This improves over previous results for this problem, whose space complexities are |CSA|+ω(n) or 2|CSA|+ω(1).

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KW - Text indexing

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Top-k document retrieval in optimal space

Abstract

Keywords

ASJC Scopus subject areas

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