A New Time-Aware Collaborative Filtering Intelligent Recommendation System

• 作者: Guo Liang Jiahui Chen Lina Tan Weijin Jiang Yang Wang Yirong Jiang Yuhui Xu
• 来源期刊: 计算机、材料和连续体(英文)
• 学科: 经济
• 关键词: Fuzzy clustering TIME WEIGHT ATTENUATION function COLLABORATIVE FILTERING method RECOMMENDATION algorithm
• 年，卷（期）: 2019,（8）
• 页码范围: 849-859
• 页数: 11页
• 分类号: F42

摘要

Aiming at the problem that the traditional collaborative filtering recommendation algorithm does not fully consider the influence of correlation between projects on recommendation accuracy,this paper introduces project attribute fuzzy matrix,measures the project relevance through fuzzy clustering method,and classifies all project attributes.Then,the weight of the project relevance is introduced in the user similarity calculation,so that the nearest neighbor search is more accurate.In the prediction scoring section,considering the change of user interest with time,it is proposed to use the time weighting function to improve the influence of the time effect of the evaluation,so that the newer evaluation information in the system has a relatively large weight.The experimental results show that the improved algorithm improves the recommendation accuracy and improves the recommendation quality.