Learning user reformulation behavior for query auto-completion
SIGIR, pp. 445-454, 2014.
algorithmsexperimentationinformation search and retrievalperformance
It is crucial for query auto-completion to accurately predict what a user is typing. Given a query prefix and its context (e.g., previous queries), conventional context-aware approaches often produce relevant queries to the context. The purpose of this paper is to investigate the feasibility of exploiting the context to learn user reformu...More
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