Research on Personalized Social Tag Query Expansion Techniques
Xiaoqin Xie · Jisuanji kexue yu tansuo · 2010
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.