摘要：

针对当前推荐技术普遍存在的产品内容分析难度大、用户评价信息稀疏和新用户推荐等问题，基于协同过滤技术，引入人口统计信息分析技术，提出一种混合推荐技术，并在Web资源系统中实现一个推荐模型实例。实验结果表明，应用该技术不但能够解决上述问题，相较传统的推荐技术，还能有效提高推荐质量。

关键词: 混合推荐技术, 用户聚类, 协同过滤, 个性化资源推荐

Abstract:

Aiming at the common problems including difficulties in product content analysis, low density in customer scores and new customer recommendation, existing in recommendation technologies today, this paper designs a blending recommendation technology which employs demography analysis technology based on cooperating filtering technology, and implements a recommendation model instance in a Web resource system. Experimental results indicate that this technology can solve the problems mentioned before, and efficiently improve recommendation quality comparing to the traditional technologies.

Key words: blending recommendation technology, customer clustering, cooperating filtering, individualized resource recommendation

中图分类号: 

• TP391