USER MULTI-INTEREST MODELING BASED ON SEMANTIC SIMILAR NETWORK IN PERSONALIZED INFORMATION RETRIEVAL
Zhiheng Qi, Nianbai Fan, Zhenyu Huang · Issues in Information Systems · 2009
People spend far more time searching information over the Internet than using it, because the desired information is often buried within a long list of searched results.Personalized internet access is a feasible solution to solve this search vs. use dilemma, which helps identify the web documents users truly need.A user's interests are usually represented by a profile.In this research, an improved vector space model representation is proposed to improve the user interests management efficiency.Based on this, the research further proposes a method for user multiinterest modeling integrated with semantic similar network (SSN).It studies the feature selection in user modeling, and proposes a feature selection method combining TF and TF-IDF that is proved a better performance in the test.Finally a complete module design is presented, which provides a personalized recommendation system for practical applications.