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MINING BROAD HIDDEN QUERY ASPECTS FROM USER SEARCH SESSIONS
MINING BROAD HIDDEN QUERY ASPECTS FROM USER SEARCH SESSIONS
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机译:从用户搜索会话中挖掘广泛的隐藏查询方面
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摘要
An optimization-based framework is utilized to extract broad query aspects from query reformulations performed by users in historical user session logs. Objective functions are optimized to yield query aspects. At run-time, the best broad but unspecified query aspects relevant to any user query are presented along with the results of the run time query.
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