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ABSTRACT
Query length in best-match information retrieval (IR) systems is well known to be positively related to effectiveness in the IR task, when measured in experimental, non-interactive environments. However, in operational, interactive IR systems, query length is quite typically very short, on the order of two to three words. We report on a study which tested the effectiveness of a particular query elicitation technique in increasing initial searcher query length, and which tested the effectiveness of queries elicited using this technique, and the relationship in general between query length and search effectiveness in interactive IR. Results show that the specific technique results in longer queries than a standard query elicitation technique, that this technique is indeed usable, that the technique results in increased user satisfaction with the search, and that query length is positively correlated with user satisfaction with the search.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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CITED BY 19
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Seikyung Jung , Kevin Harris , Janet Webster , Jonathan L. Herlocker, SERF: integrating human recommendations with search, Proceedings of the thirteenth ACM international conference on Information and knowledge management, November 08-13, 2004, Washington, D.C., USA
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Yuelin Li , Xiangmin Zhang , Ying Zhang , Jingjing Liu, A comparative study of the effect of search feature design on user experience in digital libraries (DLs), Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, August 06-11, 2006, Seattle, Washington, USA
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Rosta Farzan , Maurice Coyle , Jill Freyne , Peter Brusilovsky , Barry Smyth, ASSIST: adaptive social support for information space traversal, Proceedings of the eighteenth conference on Hypertext and hypermedia, September 10-12, 2007, Manchester, UK
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Bernard J. Jansen , Danielle L. Booth , Amanda Spink, Determining the informational, navigational, and transactional intent of Web queries, Information Processing and Management: an International Journal, v.44 n.3, p.1251-1266, May, 2008
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Doug Downey , Susan Dumais , Dan Liebling , Eric Horvitz, Understanding the relationship between searchers' queries and information goals, Proceeding of the 17th ACM conference on Information and knowledge management, October 26-30, 2008, Napa Valley, California, USA
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