Research on the Personalized Recommendation Algorithm Based on Time Weight
Meilian Liu · Computer Engineering and Science · 2009
Collaborative filtering algorithm is one of the most successful technology for building a personalized recommendation system.But the traditional CF algorithm does not consider finding the nearest neighbors in different time periods,leading to the fact that neighbors may not be the nearest neighbor set.For this reason,a CF algorithm based on time weight is proposed.The rating is given a weight by a gradual time decrease which is weighted to search the nearest neighbor of the target user.The experimental results show that the presented algorithm can improve recommendation quality of the collaborative filtering recommendation algorithm.