节点文献
协同过滤算法在推荐系统中的应用
The Application of Collaborative Filtering Algorithm in Recommendation System
【摘要】 随着电子商务的迅猛发展,用户推荐日益成为最新兴的市场需求之一,协同过滤算法在用户推荐领域发挥着举足轻重的作用。基于此,笔者从其实现原理与算法描述两个方面阐述了基于用户的协同过滤算法和基于项目的协同过滤算法,通过实验验证了该算法在用户推荐领域的有效性和巨大应用意义。希望本设计为该领域的发展提供了强有力的技术支持。
【Abstract】 With the rapid development of electronic commerce, user recommend becomes one of the latest market needs. Collaborative filtering algorithms play an important role in the field of users recommend. This paper described the user-based collaborative filtering algorithm and item-based collaborative filtering algorithm from algorithm implementation and algorithm description. At last, experimental results show that the algorithm is effective and significant in user recommendation. This paper provides strong technical support for the development of user recommend.
【Key words】 collaborative filtering; user-based; item-based; recommendation system;
- 【文献出处】 信息与电脑(理论版) ,China Computer & Communication , 编辑部邮箱 ,2019年21期
- 【分类号】TP391.3
- 【被引频次】8
- 【下载频次】429