MINING BROAD HIDDEN QUERY ASPECTS FROM USER SEARCH SESSIONS

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.

主权项

1. A computer-implemented method for providing search results, comprising:
analyzing search logs for (i) a first query comprising a first search term, followed by (ii) a second query comprising the first search term and a qualifier not initially specified in the first query; determining k aspects of the qualifier; receiving an original query at run time; and providing in response to the original query at least one of the k aspects along with results of the original query.