一种基于时间效应和用户兴趣变化的改进推荐算法

ccording to the problem of less consideration changes in user interests in the traditional collaborative filtering recommendation algorithm, a recommended algorithm based on time effect and changes in user interest is proposed. It simulated changes in user interests based on the forgotten laws on psychology, and with the combination of collaborative filtering algorithms, considering the effect of similarity between the users under the time effect and the interest change, providing efficient recommendation for users at last.Experimental results show that the algorithm based on time effect and changes in user interest improves the recommendation accuracy Compared with the traditional collaborative filtering algorithm.