摘要
随着网络技术的发展,接入网络的服务器数量呈现出指数级增长的态势。在海量信息面前,人们对信息的利用率渐渐降低,盲目地在网络中搜寻需要的内容。用户急需一种能够帮助他们购物的辅助工具,该工具能够按照用户自身的兴趣爱好自动地进行推荐。通过改进一种混合模式的推荐技术解决该问题,实验部分也进行了相关验证。
With the development of the network technology, access network server presents increase exponentially the situation. The mass information in front of the people, the utilization rate of gradually to reduce, blindly in the network search need content. Users need a can help them shopping auxiliary tool, this tool can according to user＇s interests automatically to recommend. This article through the improvement of a hybrid model recommended technology solves this problem, the experiment and the correlation of validation.
出处
《信息技术》
2011年第11期63-65,共3页
Information Technology
关键词
混合模式推荐
推荐系统
协同过滤
mixed mode recommend
recommend system
collaborative filtering
