Collaborative filtering algorithm based on time weight
Zhai Zheng-jun · Journal of Computer Applications · 2007
Collaborative filtering is the most widely used recommendation technology in the personalized recommendation system. However, the user's interests in different time have been taken into equal consideration with the method being used, which leads to the lack of effectiveness in the given period of time. In view of this problem, this paper presented an improved collaborative filtering algorithm to make the click interests, approaching the gathering time, have bigger weight in the recommendation process, thereby to improve the accuracy of the recommendation.