Using score differences for search result diversification

Kharazmi, S, Sanderson, M, Scholer, F and Vallet, D 2014, 'Using score differences for search result diversification', in Shlomo Geva, Andrew Trotman (ed.) Proceedings of the 37th international ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '14), Gold Coast, Australia, 6-11 July 2014, pp. 1143-1146.


Document type: Conference Paper
Collection: Conference Papers

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Title Using score differences for search result diversification
Author(s) Kharazmi, S
Sanderson, M
Scholer, F
Vallet, D
Year 2014
Conference name 37th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '14)
Conference location Gold Coast, Australia
Conference dates 6-11 July 2014
Proceedings title Proceedings of the 37th international ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '14)
Editor(s) Shlomo Geva, Andrew Trotman
Publisher Association for Computing Machinery
Place of publication New York, United States
Start page 1143
End page 1146
Total pages 4
Abstract We investigate the application of a light-weight approach to result list clustering for the purposes of diversifying search results. We introduce a novel post-retrieval approach, which is independent of external information or even the full-text content of retrieved documents; only the retrieval score of a document is used. Our experiments show that this novel approach is bene cial to e ectiveness, albeit only on certain baseline systems. The fact that the method works indicates that the retrieval score is potentially exploitable in diversity.
Subjects Information Retrieval and Web Search
Information Systems not elsewhere classified
Keyword(s) Diversity
Score Difference
Clustering
DOI - identifier 10.1145/2600428.2609530
Copyright notice Copyright is held by the owner/author(s).
ISBN 9781450322577
Additional Notes DP130104007
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