Personalized Services for Digital Library

摘要

In this paper, we describe a prototype system, called PASS (Personalized Active Service System), which provides personalized services for digital libraries. User profiles are represented as probabilistic distributions of interests over different domains. The system realizes content-based filtering by computing the similarity of probabilistic distributions between documents and user profiles. In addition the system realizes collaborative filtering by clustering similar user profiles. Experimental results show its performance satisfactory.