科技广场Issue(7)：10-15,6.
一种基于指数遗忘函数的协同过滤算法
One Collaborative Filtering Recommendation Algorithm Based on Exponential Forgetting Function
曾东红 1汪涛 1严水发 2赖慧芳3
作者信息
- 1. 江西理工大学电气工程与自动化学院，江西 赣州341000
- 2. 腾讯控股有限公司，广东深圳518057
- 3. 江西理工大学教务处，江西赣州341000
- 折叠
摘要
Abstract
Collaborative filtering algorithm is one of the most successful technologies applied in recommendation system, but traditional collaborative filtering algorithm does not take into consideration of user's interest drifting over time, and this makes the quality of recommendation system decreased. In order to solve this problem, an improved exponential forgetting function which is used to correct the user-resource scoring matrix is proposed and the revised scoring matrix is applied to collaborative filtering algorithm. The experimental results show that the new algorithm is more accurate than traditional collaborative filtering algorithm.关键词
协同过滤/个性化推荐/兴趣变化/指数遗忘Key words
Collaborative Filtering/Personalized Recommendation/Interest Drift/Exponential Forgetting分类
信息技术与安全科学引用本文复制引用
曾东红,汪涛,严水发,赖慧芳..一种基于指数遗忘函数的协同过滤算法[J].科技广场,2013,(7):10-15,6.
