Research of the Collaborative Filtering Algorithm for E-Commerce

被引：0
|
作者：
Ya, Luo [1 ]
机构：
[1] Guizhou Finance & Econ Univ, Guiyang 550004, Guizhou, Peoples R China
来源：
NANOTECHNOLOGY AND COMPUTER ENGINEERING | 2010年 / 121-122卷
关键词：
Personalization Recommendation; Collaborative Filtering; Cold star; Data Sparsity;
D O I：
10.4028/www.scientific.net/AMR.121-122.717
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper we mainly discuss the Collaborative Filtering algorithm which is widely applied in E-commerce. This article presents the idea of Collaborative Filtering algorithm and its main step. It analyzes the problem of cold start and data sparsity which affect the accuracy of prediction and results, as well as an idea of improvement Collaborative Filtering algorithm.
引用
收藏
页码：717 / 721
页数：5
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