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基于产品特征的协同推荐方法及其应用
Collaborative Filtering Recommendation of Ceramic Product in E-Commerce
【摘要】 分析了传统的基于项的协同过滤推荐算法在陶瓷行业电子商务平台应用中碰到的问题,提出了一种改进的基于产品特征的协同过滤推荐方法,建立陶瓷产品的特征矩阵,综合考虑产品特性和用户评价。应用表明能产生准确度较高的推荐结果,并能解决初期数据稀疏情况下的产品推荐问题。
【Abstract】 Based on an analysis of the problems of the recommendation system in ceramic industry e-commerce platform, proposing an improved item-based collaborative filtering method based on product attribute,generating product attributes matrix, takeing both into account the influence of item attributes and user ratings. Applying results indicate these can provide better recommendation result and satisfactorily solve the problem when the user ratings are very sparse.
【关键词】 电子商务;
协同过滤推荐;
产品特征;
用户评价;
陶瓷产品;
【Key words】 E-Commerce; collaborative filtering recommendation; product attributes; customer commentation; ceramic product;
【Key words】 E-Commerce; collaborative filtering recommendation; product attributes; customer commentation; ceramic product;
- 【文献出处】 微计算机信息 ,Microcomputer Information , 编辑部邮箱 ,2009年18期
- 【分类号】TP311.52
- 【被引频次】2
- 【下载频次】195