Automatic Identification of User Goals in Web Search

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dc.contributor.authorLee, Uichinko
dc.contributor.authorLiu, Zhenyuko
dc.contributor.authorCho, Junghooko
dc.date.accessioned2013-03-18T19:50:54Z-
dc.date.available2013-03-18T19:50:54Z-
dc.date.created2012-04-02-
dc.date.created2012-04-02-
dc.date.issued2005-05-01-
dc.identifier.citationWWW '05 Proceedings of the 14th international conference on World Wide Web, pp.391 - 400-
dc.identifier.urihttp://hdl.handle.net/10203/151872-
dc.description.abstractThere has been recent interests in studying the "goal" behind a user's Web query, so that this goal can be used to improve the quality of a search engine's results. Previous studies have mainly focused on using manual query-log investigation to identify Web query goals. In this paper we study whether and how we can automate this goal-identification process. We first present our results from a human subject study that strongly indicate the feasibility of automatic query-goal identification. We then propose two types of features for the goal-identification task: user-click behavior and anchor-link distribution. Our experimental evaluation shows that by combining these features we can correctly identify the goals for 90% of the queries studied.-
dc.languageEnglish-
dc.publisherACM-
dc.titleAutomatic Identification of User Goals in Web Search-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.beginningpage391-
dc.citation.endingpage400-
dc.citation.publicationnameWWW '05 Proceedings of the 14th international conference on World Wide Web-
dc.identifier.conferencecountryUS-
dc.identifier.conferencelocationChiba, Japan-
dc.identifier.doi10.1145/1060745.1060804-
dc.contributor.localauthorLee, Uichin-
dc.contributor.nonIdAuthorLiu, Zhenyu-
dc.contributor.nonIdAuthorCho, Junghoo-
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IE-Conference Papers(학술회의논문)
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