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1. 摘要说明了一切
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-identication process. We rst present our results from a human subject study that strongly indicate the feasibility of automatic query-goal identi¯cation. We then propose two types of features for the goal-identi¯cation 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.
2. 文章的缺点是:让28个工作人员手动对50多个query的goal进行标识,数据量小
3. 用于判断query goal 的属性
Click Distribution,query result page的点击情况,在user behavior history丰富的时候可以用这个属性
Anchor Click Distribution,当所有的锚文本链接都指向一个地址的时候,那么这个query是navigational的,如果指向多个网址,则这个query是informational的。 |
Automatic Identification of User Intent in Web Search
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