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Top subset retrieval on large collections using sorted indices
Ferguson, Paul; Smeaton, Alan F.; Gurrin, Cathal; Wilkins, Peter
In this poster we describe alternative inverted index structures that reduce the time required to process queries, produce a higher query throughput and still return high quality results to the end user. We give results based upon the TREC Terabyte dataset showing improvements that these indices give in terms of effectiveness and efficiency.
Keyword(s): Information retrieval; Sorted inverted index; Large-scale retrieval
Publication Date:
2005
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Ferguson, Paul, Smeaton, Alan F. ORCID: 0000-0003-1028-8389 <https://orcid.org/0000-0003-1028-8389>, Gurrin, Cathal ORCID: 0000-0003-4395-7702 <https://orcid.org/0000-0003-4395-7702> and Wilkins, Peter (2005) Top subset retrieval on large collections using sorted indices. In: SIGIR 2005 - 28th Annual International ACM SIGIR Conference, 15 - 19 August 2005, Salvador, Brazil.
Publisher(s): Association for Computing Machinery
File Format(s): application/pdf
Related Link(s): http://doras.dcu.ie/347/1/sigir_2005.pdf,
http://doi.acm.org/10.1145/1076034.1076147
First Indexed: 2009-11-05 02:00:35 Last Updated: 2019-02-09 07:04:12