Personalized Recommendation System for E-Commerce Based on Psychological Community

被引：1

作者：

Wu Ze-jun ^{[1
,2
]}

Yang Guang ^{[3
]}

Liang Yi-wen ^{[3
]}

Wang Xin-an ^{[1
]}

机构：

[1] Peking Univ, Shenzhen Grad Sch, Key Lab Integrated Microsyst, Shenzhen 518055, Peoples R China

[2] Zhongnan Univ Econ & Law, Informat Sch, Wuhan 430074, Peoples R China

[3] Wuhan Univ, Comp Sch, Comp Applicat Dept, Wuhan 430079, Peoples R China

来源：

IEEC 2009: FIRST INTERNATIONAL SYMPOSIUM ON INFORMATION ENGINEERING AND ELECTRONIC COMMERCE, PROCEEDINGS | 2009年

关键词：

Recommendation System; Psychological Community; E-Commerce;

D O I：

10.1109/IEEC.2009.176

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper attempts to do a research on personalized recommendation in a completely original way-a recommendation based on psychological community. On the basis of concept of psychology and theory of artificial psychology, we provide two methods to quantify personal psychological properties: client remark and Quantity I Theory. The system transforms a direct link between client and recommendable object into an indirect form, building psychological community between them. That is to say, no more do we seek to directly match clients with the objects they might be interested in, instead, the system sets up psychological community containing two attributes - client and recommendable object as a bridge to match the two together.

引用

页码：812 / +

页数：3

共 10 条

[1] GENG XY, 2008, SCI ED
[2] GU XJ, 2006, ARTIFICIAL PSYCHOL M
[3] LINDEN G, 2003, RECOMMENDATIONS ITEM
[4] Resnick P., 1994, GroupLens: An Open Architecture for Collaborative Filtering of Netnews
[5] TANG C, 2006, PERSONALIZED RECOMME
[6] WANG J, 2008, BUSINESS MANAGEMENT
[7] Wang Z.L., 2007, ARTIFICIAL PSYCHOL
[8] XIAO SY, 2006, SQL SERVER DATABASE
[9] YANG J, 2006, RES PERSONALIZED REC
[10] Ye Yiqan, 2004, COMMON PSYCHOL

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