Learning user reformulation behavior for query auto-completion

  title={Learning user reformulation behavior for query auto-completion},
  author={Jyun-Yu Jiang and Yen-Yu Ke and Pao-Yu Chien and Pu-Jen Cheng},
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 reformulation behavior for boosting prediction performance. We first conduct an in-depth analysis of how the users reformulate their queries. Based on the analysis… CONTINUE READING
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