The Sustainable Development of E-commerce Based on an Improved Personalized Recommendation System

被引：0

作者：

Zhang Chunji ^{[1
]}

机构：

[1] Tianjin Univ Finance & Econ, Tianjin, Peoples R China

来源：

PROCEEDINGS OF THE 10TH EURO-ASIA CONFERENCE ON ENVIRONMENT AND CORPORATE SOCIAL RESPONSIBILITY: TOURISM, SOCIETY AND EDUCATION SESSION, PT III | 2014年

关键词：

Personalized Recommendation; User-Based Recommendation; Content-based Recommendation; E-commerce Recommendation System;

D O I：

暂无

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

In order to ensure the sustainable development of E-commerce, the author uses Fuzzy ART to improve the quality and efficiency of cluster-based collaborative filtering recommended algorithms. According to the sparsity and cold start problems, the author proposes suggestions on the improvement the Fuzzy ART algorithm with the content based recommendation method. With respect of the influences of user information to recommendation quality, the recommendation method is improved further. This research may contribute to the sustainable development of E-commerce from the perspective of methodology.

引用

页码：190 / 197

页数：8

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