論文心得：
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1. 摘要說明了一切
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. 文章的缺點是：讓28個工作人員手動對50多個query的goal進行標識，數據量小
3. 用於判斷query goal 的屬性
Click Distribution，query result page的點擊情況，在user behavior history豐富的時候可以用這個屬性
Anchor Click Distribution，當所有的錨文本鏈接都指向一個地址的時候，那麼這個query是navigational的，如果指向多個網址，則這個query是informational的。 |