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Journal of Theoretical and Applied Electronic Commerce Research is published by MDPI from Volume 16 Issue 3 (2021). Previous articles were published by another publisher in Open Access under a CC-BY 3.0 licence, and they are hosted by MDPI on mdpi.com as a courtesy and upon agreement with Faculty of Engineering of the Universidad de Talca.
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Article

Research and Design of a Grid Based Electronic Commerce Recommendation System

Wuhan University of Technology, School of Economics, Wuhan, China
J. Theor. Appl. Electron. Commer. Res. 2010, 5(1), 71-80; https://doi.org/10.4067/S0718-18762010000100007
Submission received: 24 August 2009 / Revised: 2 December 2009 / Accepted: 3 March 2010 / Published: 1 April 2010

Abstract

Current electronic commerce recommendation system is designed for single electronic commerce website and current recommendation technologies have obvious deficiencies Centralized recommendation systems can not resolve the contradiction between high recommendation quality and timely response, as well as that between limited recommendation range and ever rich information on the web. Distributed recommendation systems are expected to improve the recommendation quality while maintaining high performance. This paper analyses the problems of traditional electronic commerce recommendation system and clarifies the advantage of applying grid technology into electronic commerce recommendation system. It discusses the prototype of an intelligent recommendation system, namely grid based electronic commerce recommendation system (GBECRS). The paper analyses rationale and mechanism of GBECRS and designs its logical structure. It focuses on the design of grid services which are needed to be deployed into electronic commerce recommendation grid. Finally it does deep analysis of key technologies that are applied in the system.
Keywords: Grid; Electronic Commerce Recommendation; Recommendation System; Grid Service, Prototype Grid; Electronic Commerce Recommendation; Recommendation System; Grid Service, Prototype

Share and Cite

MDPI and ACS Style

Liang, Y.; Nie, G. Research and Design of a Grid Based Electronic Commerce Recommendation System. J. Theor. Appl. Electron. Commer. Res. 2010, 5, 71-80. https://doi.org/10.4067/S0718-18762010000100007

AMA Style

Liang Y, Nie G. Research and Design of a Grid Based Electronic Commerce Recommendation System. Journal of Theoretical and Applied Electronic Commerce Research. 2010; 5(1):71-80. https://doi.org/10.4067/S0718-18762010000100007

Chicago/Turabian Style

Liang, Yueling, and Guihua Nie. 2010. "Research and Design of a Grid Based Electronic Commerce Recommendation System" Journal of Theoretical and Applied Electronic Commerce Research 5, no. 1: 71-80. https://doi.org/10.4067/S0718-18762010000100007

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