基于社会网络的个性化推荐系统研究  

Personalized recommendation system based on social network

作　　者：丁沂[1] Ding Yi(Computer College of Wuhan Vocational College of Software and Engineering, Wuhan 430205, Chin)

机构地区：[1]武汉软件工程职业学院计算机学院,湖北武汉430205

出　　处：《无线互联科技》2017年第1期37-38,共2页Wireless Internet Technology

基　　金：武汉市市属高校产学研项目;项目编号:201310

摘　　要：推荐系统是一种帮助人们找到符合自己兴趣的物品或产品的工具。随着互联网的发展,涌现出了Facebook,Twitter等在线社会网络平台,从而产生了大量的社会信息。这些信息能够用来帮助给用户进行产品推荐,从而产生了个性化的推荐系统。文章探讨了个性化推荐系统的重要性、影响个性化推荐系统性能的各种因素以及实现个性化推荐系统的常用方法。The recommending system is a way to help people find their own interest in the goods or products tools. With the development of the Internet, Facebook, Twitter and other online social the network platform has emerged, which results in a large number of social information. These information can be used to help users to recommend products, which results in the personalized recommendation system. This paper discussed the importance of personalized personalized recommendation system and common methods to recommendation system, various factors affecting the performance of the achieve personalized recommendation system.

关 键 词：推荐系统 冷启动 超特化 矩阵分解 

分 类 号：TP391.3[自动化与计算机技术—计算机应用技术]