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	A New Collaborative Filtering Recommendation Approach Based on Naive Bayesian Method
	Wang, Kebin ; Tan, Ying
	2011
关键词	recommender system collaborative filtering naive Bayesian method probability
英文摘要	Recommendation is a popular and hot problem in e-commerce. Recommendation systems are realized in many ways such as content-based recommendation, collaborative filtering recommendation, and hybrid approach recommendation. In this article, a new collaborative filtering recommendation algorithm based on naive Bayesian method is proposed. Unlike original naive Bayesian method, the new algorithm can be applied to instances where conditional independence assumption is not obeyed strictly. According to our experiment, the new recommendation algorithm has a better performance than many existing algorithms including the popular k-NN algorithm used by Amazon.com especially at long length recommendation.; Computer Science, Artificial Intelligence; Computer Science, Theory & Methods; EI; CPCI-S(ISTP); 1
语种	英语
DOI标识	10.1007/978-3-642-21524-7_26
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/292888]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Wang, Kebin,Tan, Ying. A New Collaborative Filtering Recommendation Approach Based on Naive Bayesian Method. 2011-01-01.

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