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一种基于协同过滤的Web挖掘推荐方法

A Web mining recommendation method based on collaborative filtering technology
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摘要 针对当前Web挖掘环境下个性化服务的性能不够高效的问题,运用协同过滤技术的理论与方法,研究了一种基于协同过滤的推荐阀值方法,并且提出了一种在线推荐模型。实验表明,在提高Web个性化服务方面,该模型具有更高的效率。 Collaborative filtering (CF) is a popular technology for building personalized service system. To improve personalized service performance under web-mining environment, a method of recommending threshold based on collaborative filtering is presented and a new online personalized recommendation model is proposed. Experimental results show this recommendation model is more effeetive in improving web personalized service.
作者 陈希 陈昕
出处 《北京信息科技大学学报(自然科学版)》 2013年第6期42-45,共4页 Journal of Beijing Information Science and Technology University
基金 国家自然科学基金面上资助项目(61370065)
关键词 协同过滤 WEB挖掘 个性化服务 collaborative filtering web mining personalized service
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参考文献10

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