document: Automatic identification of user goals in Web search 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 .
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