Research and Design of a Grid Based Electronic Commerce Recommendation System

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					  Journal of Theoretical and Applied Electronic Commerce Research                                  This paper is available online at
  ISSN 0718–1876 Electronic Version                                                                www.jtaer.com
  VOL 5 / ISSUE 1 / APRIL 2010 / 71-80
  © 2010 Universidad de Talca - Chile




              Research and Design of a Grid Based Electronic Commerce
                                              Recommendation System
                                             Yueling Liang1 and Guihua Nie2
                               Wuhan University of Technology, School of Economics, Wuhan, China
                                     1
                                       liangyl1987@whut.edu.cn, 2 niegh@mail.whut.edu.cn

                        Received 24 August 2009; received in revised form 2 December 2009; accepted 3 March 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.

              Key words: Grid, Electronic Commerce Recommendation, Recommendation System, Grid Service,
              Prototype




                                                                      71


                                                                                                   Yueling Liang
Research and Design of a Grid Based Electronic Commerce Recommendation System                      Guihua Nie
  Journal of Theoretical and Applied Electronic Commerce Research                              This paper is available online at
  ISSN 0718–1876 Electronic Version                                                            www.jtaer.com
  VOL 5 / ISSUE 1 / APRIL 2010 / 71-80
  © 2010 Universidad de Talca - Chile




        1 Introduction
        Electronic commerce recommendation system can enhance the competitiveness of electronic commerce websites
        and meets customers’ individual demands. At present almost all of the large-scale electronic commerce websites
        apply recommendation technology in their systems. Common-used electronic commerce recommendation
        technologies include content-based filtering technology, collaborative filtering technology, vital statistics based
        recommendation technology, effect-based recommendation technology, knowledge based recommendation
        technology and hybrid recommendation technology which uses two or more of the above technologies. These
        technologies have deficiency more or less. Content-based filtering technology must analyze text content information
        of particular resource, and thus it can not be applied in recommending music, graphs and videos. Besides it can not
        analyze the quality of recommendation information and produces good recommendation result. Collaborative filtering
        technology has the problem of “cold starting” [11] and bad expansibility.

        Content-based filtering technology and collaborative filtering technology are two recommendation technologies that
        are most common in use [1]. However, their deficiency causes bad recommendation quality and sometimes even
        failure appears when recommending. Being unable to recommend what customers like or recommend what
        customers dislike only leads to customers
				
DOCUMENT INFO
Description: 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. [PUBLICATION ABSTRACT]
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