【摘要】 协同过滤技术可以通过分析客户群共同的消费品味来形成推荐。数据稀缺性问题是协同过滤技术面临的主要挑战。文章利用ROCK聚类算法提出了一种基于协同过滤技术的推荐系统模型,该模型可以有效地解决基于协同推荐的数据稀缺性问题。更多还原

【Abstract】 Collaborative Filtering(CF) is used for forming recommendation by analyzing the common "taste" shared by a group of customers.Data sparsity problem is a potential challenge of collaborative filtering.In this paper,a CF-based recommendation system model is presented,which attempt to bridge the sparsity problem by incorporating ROCK,a kind of clustering algorithm,into the recommendation system.更多还原