DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Uichin | ko |
dc.contributor.author | Liu, Zhenyu | ko |
dc.contributor.author | Cho, Junghoo | ko |
dc.date.accessioned | 2013-03-18T19:50:54Z | - |
dc.date.available | 2013-03-18T19:50:54Z | - |
dc.date.created | 2012-04-02 | - |
dc.date.created | 2012-04-02 | - |
dc.date.issued | 2005-05-01 | - |
dc.identifier.citation | WWW '05 Proceedings of the 14th international conference on World Wide Web, pp.391 - 400 | - |
dc.identifier.uri | http://hdl.handle.net/10203/151872 | - |
dc.description.abstract | There 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.language | English | - |
dc.publisher | ACM | - |
dc.title | Automatic Identification of User Goals in Web Search | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.citation.beginningpage | 391 | - |
dc.citation.endingpage | 400 | - |
dc.citation.publicationname | WWW '05 Proceedings of the 14th international conference on World Wide Web | - |
dc.identifier.conferencecountry | US | - |
dc.identifier.conferencelocation | Chiba, Japan | - |
dc.identifier.doi | 10.1145/1060745.1060804 | - |
dc.contributor.localauthor | Lee, Uichin | - |
dc.contributor.nonIdAuthor | Liu, Zhenyu | - |
dc.contributor.nonIdAuthor | Cho, Junghoo | - |
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