摘要
根据B2C网上购物的实际背景和目前推荐系统存在的不足,设计和实现了一个运用多种技术相结合的个性化网页推荐系统。这种推荐模型增强了推荐系统的实时性,提高了推荐服务的质量,从而提高了电子商务网站的交叉销售能力和网站商品的销售量。该系统所用的方法、处理过程和推荐形式,对于其他电子商务网站也都有一定的借鉴意义。
According to the background of B2C online shopping and the insufficiency of the recommendation system at present, one kind of individualized homepage recommendation system based on various techniques is designed and implemented ,which improves the real-time per- formance of the recommendation algorithm and the quality of the recommendation service, thus the electronic commerce website overlapping sales ability and the website commodity sales volume is sharpened. These methods, the treating processes and the recommendation form have certain reference meanings to other B2C websites as well.
出处
《计算机应用与软件》
CSCD
2009年第9期195-197,共3页
Computer Applications and Software
关键词
网上购物
聚类
关联规则
协同过滤
个性化网页推荐
Online shopping Clustering Association rule Collaborative filtering Individualized webpage recommending
