A recommendation system in E-commerce based on grey association

被引：0

作者：

Le, Zhongjian ^{[1
]}

Chen, Ruihua ^{[1
]}

Hu, Jungang ^{[2
]}

Wu, Qinfen ^{[1
]}

机构：

[1] School. of Information Management, Jiangxi University of Finance and Economics, Nanchang 330013, China

[2] School. of Statistics, Jiangxi University of Finance and Economics, Nanchang 330013, China

来源：

Journal of Information and Computational Science | 2009年 / 6卷 / 01期

关键词：

Class interest - E-commerce systems - Effective tool - Grey theory - Neighbor user - Personal assistants - Similarity measurements - User's interest;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Recommendation system in E-commerce, as an effective tool to seek user's interest and provide personal assistant service, has now become a key research area. Getting the neighbor users with great similarity is the core of the recommendation system. With the increasing users and commodities of the e-commerce system, the rating matrix of the users in the commodity space will be extremely sparse. Traditional similarity measurement methods, with some shortcomings of their own, led to a sharp decline in the quality of the recommendation. To improve the recommendation system in E-commerce, a neighbor user model based on grey association is proposed in the paper. Experimental results show that the model can effectively solve the problem and significantly improve the quality of the recommendation system. © 2009 Binary Information Press.

引用

页码：441 / 449

共 50 条

[1] E-Commerce recommendation system based on mapreduce
Zhang, Hong Tao, 1600, Transport and Telecommunication Institute, Lomonosova street 1, Riga, LV-1019, Latvia (18):
[2] Product Recommendation for e-Commerce System based on Ontology
Iswari, Ni Made Satvika
Wella
Rusli, Andre
2019 1ST INTERNATIONAL CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEM (ICORIS), 2019, : 105 - 109
[3] An Apriori-Based E-Commerce Recommendation System
Wang, Xue-yuan
4TH INTERNATIONAL CONFERENCE ON ECONOMICS AND MANAGEMENT (ICEM), 2017, : 369 - 374
[4] A personalized recommendation system based on PRML for E-commerce
Kim, YJ
Mun, HJ
Lee, JY
Woo, YT
SOFSEM 2006: THEORY AND PRACTICE OF COMPUTER SCIENCE, PROCEEDINGS, 2006, 3831 : 360 - 369
[5] Intelligent Recommendation System of E-Commerce Based on Ontology
Xu Hongyan
Feng Yong
Bai Yang
PROCEEDINGS OF THE 9TH CONFERENCE ON MAN-MACHINE-ENVIRONMENT SYSTEM ENGINEERING, 2009, : 241 - +
[6] Recommendation system in E-commerce websites: A Graph Based Approached
Shaikh, Shakila
Rathi, Sheetal
Janrao, Prachi
2017 7TH IEEE INTERNATIONAL ADVANCE COMPUTING CONFERENCE (IACC), 2017, : 931 - 934
[7] Commodity Recommendation System of E-commerce Based on Classification Users
Chen, Jie
MECHATRONICS ENGINEERING, COMPUTING AND INFORMATION TECHNOLOGY, 2014, 556-562 : 6689 - 6692
[8] Multi-Agent Based Recommendation System in E-commerce
Chi Na
PROCEEDINGS OF 2010 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND ENGINEERING, 2010, : 111 - 115
[9] An E-commerce System Architecture Based on the Personalized Recommendation Technology
Guo Guangchao
ELECTRONIC COMMERCE AND INFORMATION ENGINEERING IN CHINA: PROCEEDINGS OF THE 2ND INTERNATIONAL SYMPOSIUM ON ELECTRONIC BUSINESS AND INFORMATION SYSTEM, 2010, : 69 - 73
[10] Personalized Recommendation System for E-Commerce Based on Psychological Community
Wu Ze-jun
Yang Guang
Liang Yi-wen
Wang Xin-an
IEEC 2009: FIRST INTERNATIONAL SYMPOSIUM ON INFORMATION ENGINEERING AND ELECTRONIC COMMERCE, PROCEEDINGS, 2009, : 812 - +

← 1 2 3 4 5 →