Predicting Query Potential for Personalization Based on Linguistic Knowledge
Haoliang Qi · Zhongwen xinxi xuebao · 2012
Most of the previous studies on the personalized search are generally designed for all queries,and few have tried to answer which queries can benefit from personalization.In this paper,we mine linguistic knowledge from the large-scale human knowledge base to predict query potential for personalization.The acquired linguistic knowledge includes conceptual terms,ambiguous terms and synonymous terms,which are adopted to design corresponding features for predictive models.The knowledge mined from Wikipedia alleviates the data sparseness of query logs.The experiment results indicate the effectiveness and feasibility of our approach.