Query Recommendation Based on TF-IQF Model
Zhuang Wei-hua · Jisuanji gongcheng · 2010
The query recommendation methods by mining search engines query logs can improve user satisfaction,such as the typical method based on TF-IQF model,however it does not take into account the context of user query behavior and can not meet the needs of individual users.In this paper,an improved query recommendation method based on TF-IQF model is proposed by analyzing user's query preference in the context of user queries and reordering the system recommended query.Experimental results show the improved query recommendation method gives personalized query suggestions and improves user query satisfaction further.