Automatic identification of user goals in Web search

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Automatic identification of user goals in Web search
There have 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. Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval--search process; H.4.m [Information Systems Applications]: Miscellaneous General Terms Measurement, Experimentation...
Uichin Lee, Zhenyu Liu, Junghoo Cho
Added 22 Nov 2009
Updated 22 Nov 2009
Type Conference
Year 2005
Where WWW
Authors Uichin Lee, Zhenyu Liu, Junghoo Cho
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