软件导刊2023，Vol.22Issue(12)：99-104,6.DOI:10.11907/rjdk.222422
基于动态时间权重的混合协同过滤推荐算法
Hybrid Collaborative Filtering Recommendation Algorithm Based on Dynamic Time Weight
李卓敏 1卢敏 1马圣雨 2宋逸杰1
作者信息
- 1. 江西理工大学 理学院,江西 赣州 341000
- 2. 河南理工大学 计算机科学与技术学院,河南 焦作 454003
- 折叠
摘要
Abstract
In order to solve the problems of traditional collaborative filtering algorithms(CF)that cannot highlight personalization and have low user reliability and time correlation,a hybrid collaborative filtering algorithm based on dynamic time weighting(HCFADT)is proposed.Firstly,for users and projects,calculate the number of target user comments and user comments during the observation time,and introduce dynamic time weights into the project based and user based algorithms.Then,combine the two algorithms and adjust the degree of dependence of the two algorithms by adjusting the factors.The experimental results show that compared to traditional collaborative filtering algorithms and algorithms based on dynamic time weights,the hybrid algorithm has smaller fluctuations,and the deviation of average recommendation predic-tion is reduced by 3%and 2%,respectively.关键词
协同过滤/时间权重/混合算法/推荐算法Key words
collaborative filtering/time weight/hybrid algorithm/recommendation algorithm分类
信息技术与安全科学引用本文复制引用
李卓敏,卢敏,马圣雨,宋逸杰..基于动态时间权重的混合协同过滤推荐算法[J].软件导刊,2023,22(12):99-104,6.
