The Recommender System with Real-time Updated User Interests Based on User Behaviors and Similar Semantic
Quan Hai · 2005
The user interests models in the existing recommender systems can express the user's interests effectively, but they can't modify the user interests models while the user interests change,and cannot adapt the changes in time. This flaw of the existing recommender systems results in the suggestions to users aren't exact' So we propose a rec- ommender system based on user behaviors and similar semantic. The system can adapt the changes of user interests quickly,and is more exact than the existing recommender systems.