An Improved Personalized Recommendation System Research

被引：0
|
作者：
Li, Xingyuan [1 ]
Li, Qingshui [2 ]
机构：
[1] Ningbo Dahongying Univ, Informat Engn Coll, Ningbo, Zhejiang, Peoples R China
[2] Zhejiang Univ Technol, Comp Sci & Technol Coll, Hangzhou, Zhejiang, Peoples R China
来源：
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION APPLICATIONS (ICCIA 2012) | 2012年
关键词：
Personalized recommendation; association rules; Collaborative filtering recommendation; styling; Project Score;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In order to find information of interest and found valuable information resources in enrich Internet data. This paper describes a personalized recommendation system, personalized recommendation system is an intelligent recommendation system to help e-commerce site for customers to provide complete personalized shopping decision support and information services. for the User Rating data extreme sparseness, This paper presents nearest neighbor collaborative filtering algorithm based on project score predicted, experiments show that this method can improve the quality of recommendation system.
引用
收藏
页码：13 / 16
页数：4
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