Integrating personal and community recommendations in collaborative filtering (workshop session)(abstract only)

Currently, recommender systems (RS) have been widely applied in many commercial e-commerce sites to help users deal with the information overload problem. Recommender systems provide personalized recommendations to users and, thus, help in making good ...

Recommender systems alleviates the problem of information overload by providing personalized suggestions to the users. In this context, recently introduced tendency based recommendation technique is proven to be more simple, intuitive and accurate than ...

Information filtering agents and collaborative filtering both attempt to alleviate information overload by identifying which items a user will find worthwhile. Information filtering (IF) focuses on the analysis of item content and the development of a ...