document: Inferring query intent from reformulations and clicks Many researchers have noted that web search queries are often ambiguous or unclear . We present an approach for identifying the popular meanings of queries using web search logs and user click behavior . We show our approach to produce more complete and user-centric intents than expert judges by evaluating on TREC queries . This approach was also used by the TREC 2009 Web Track judges to obtain more representative topic descriptions from real queries .
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