Identification of Query Intents via Combining Multiple Features
WU Da-Yong1,ZHAO Shi-Qi1,2,LIU Ting1,ZHANG Yu1
1. Research Center for Social Computing and Information Retrieval,Harbin Institute of Technology,Harbin 150001 2.Baidu Online Network Technology Co.Ltd,Beijing 100085
Abstract Identifying underlying user intents of search engine queries is a hotspot in the field of web information retrieval. An approach to identifying user intents of search engine queries is proposed based on features from various sources. Specifically, the query intent identification is regarded as a classification problem. The classification features are extracted from various sources including query texts, search engine feedbacks and query logs. The method is evaluated on the real web query data. The experimental results show that the exploited features are helpful to improve the identification performance. Furthermore, about 88.5% of the test queries can be correctly identified with the classification framework via combining all the features.
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2012, Vol. 25 
