Automatic Role-Explicit Query Extraction: A Divide-and-Conquer System Leveraging on Users%26apos; Reformulating Behaviors

作者：Yu Haitao; Ren Fuji^*

来源：IEEJ Transactions on Electrical and Electronic Engineering, 2014, 9(1): 62-70.

DOI：10.1002/tee.21937

• role-explicit
• intent role
• kernel-object
• modifier

This paper presents a system that can automatically extract role-explicit queries from a query log without any human intervention. The key idea underlying our system is as follows: We perform a divide-and-conquer process through differentiating the sessions in a query log as mul-sessions and sin-sessions. According to the session type, different approaches are proposed. We translate the contextual information in mul-sessions as indirect human wisdom to facilitate role-explicit query extraction on mul-sessions. Furthermore, leveraging on the role-explicit queries extracted from mul-sessions, we learn the simplified word n-gram role model (SWNR) to facilitate role-explicit query extraction on sin-sessions. The experimental results show that our proposed system is clearly favored by the indirect human wisdom hidden in mul-sessions and achieves a satisfactory performance, namely more than 79% in terms of different metrics.

• 出版日期2014-1