Neural-network-based Method for Automatic Acquisition of User's Video Rating
JI Shu-jua · 2015
In future intelligent system,a real intelligent video recommendation system should have the ability of automatically acquiring users' interest and preference without users' rating actions and the ability of accurately recommending videos for them.In implementing a real intelligent video recommendation system,a key problem we must solve is the design of some technologies that can acquire users' ratings(which reveal their interests and preferences)in case of no rating actions.To acquire user's implicit rating on videos automatically,this paper presented a neural-network-based method.Experimental results on samples about users' video-viewing behavior and ratings show that this method is effective in gaining users' implicit rating information.