Web news recommendation based on multiple topic tracking
Wei Chen · Journal of Computer Applications · 2011
A Web news recommendation method based on multiple topic tracking was proposed to improve the precision of recommendation.The proposed algorithm used multiple user profiles to represent user's interests in different topics,and dynamically updated user's profile to reflect the changing of user's interests.The central recommendation algorithm was implemented,and experiments on Reuters Corpus Volume 1 were carried out.The experimental results show that the proposed algorithms can effectively improve the precision of recommendation.