基于用户兴趣的个性化推荐系统比较研究  

The Comparison Study on Personalized Recommendation System Based on Users Interest

作　　者：尚鲜连[1] 陈静[1] 张苏[1] 

机构地区：[1]苏州市职业大学计算机工程学院,江苏苏州215104

出　　处：《苏州市职业大学学报》2013年第3期7-11,共5页Journal of Suzhou Vocational University

基　　金：国家自然科学基金资助项目(61272259);苏州市云计算智能信息处理高技术研究重点实验室开放基金资助项目(SXZ201303)

摘　　要：个性化推荐系统是解决信息过载的有效途径之一,已广泛应用于电子商务等领域.介绍推荐系统及其组成部分,就个性化推荐系统的几个关键技术进行了阐述和比较,总结推荐系统主要的评价指标,并对未来可能的发展方向进行了初步预测.Personalized recommendation system is one of the effective ways to solve information overload. It is widely used in areas such as E-commerce. First, the recommendation system and their components are introduced in this article. Then it expounds respectively key technologies in the system and analyzes its own advantages and disadvantages. Every recommendation method is compared. The main evaluation methods are exhibited. Finally, the article points out the development trend of the recommendation system in the future.

关 键 词：推荐系统 个性化 用户兴趣 信息过载 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]