摘要
电子商务推荐系统中协同过滤已成为目前应用最广泛、最成功的推荐方法。它利用相似用户购买行为也可能相似的特性进行推荐。介绍了与其他方法比较协同过滤方法的优点,然后说明了一些主要的协同过滤实现方法,指出了还需改进和完善的地方以及未来研究的方向。
In E- commerce recommender system, collaborative filtering technology is the most popular and successful method at present. It supposes similar users may have the same behavior in shopping. In this article, first introduce strong - points of the algorithms comparing with other methods, then describe several main collaborative filtering algorithms, at last, point out several open research problems and directions on the algorithm.
出处
《计算机技术与发展》
2006年第9期70-72,共3页
Computer Technology and Development
关键词
电子商务
推荐系统
协同过滤
E- commerce
recommender system
collaborative filtering algorithm
