关键词: 个性化搜索, 查询词扩展, 社会化标签

Abstract: Personalized search is highly demanded along with the explosion of information on Internet. Because of the diversity of users’ interests and behaviors, it is a great challenge to provide appropriate search results for different users. This paper reviews the existing query expansion techniques, and analyzes their advantages and disadvantages. Then four new personalized query expansion approaches based on social bookmarks are proposed: Tags analysis extension algorithm, tag cluster analysis extension algorithm, TF analysis query expansion algorithm and social tags query co-occurrence analysis extension algorithm. A variety of assessment methods and Google search results are compared. Experimental results show that the proposed social tag query co-occurrence analysis extension algorithm is better to meet the personalized needs of users.

Key words: personalized search, query expansion, social tag