A knowledge-based recommender system for customized online shopping

Fiona Y. Chan, Kwok Wai Cheung

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

Abstract

The concept of personalization has long been advocated to be one of the edges to improve the stickiness of on-line stores. By enabling an on-line store with adequate knowledge about the preference characteristics of different customers, it is possible to provide customized services to further raise the customer satisfaction level. In this paper, we describe in details how to implement a knowledge-based recommender system for supporting such an adaptive store. Our proposed conceptual framework is characterized by a user profiling and product characterization module, a matching engine, an intelligent gift finder, and a backend subsystem for content management. A prototype of an on-line furnishing company has been built for idea illustration. Limitations and future extensions of the proposed system are also discussed.

Original languageEnglish
Title of host publicationIssues and trends of information technology management in contemporary organizations : 2002 Information Resources Management Association, International Conference, Seattle, Washington, USA, May 19-22, 2002
PublisherIGI Global
Pages152-155
ISBN (Electronic)9781466641358
ISBN (Print)9781930708396
DOIs
Publication statusPublished - May 2002
EventIssues and trends of information technology management in contemporary organizations : 2002 Information Resources Management Association, International Conference - Seattle, United States
Duration: 19 May 200222 May 2002

Conference

ConferenceIssues and trends of information technology management in contemporary organizations : 2002 Information Resources Management Association, International Conference
Period19/05/0222/05/02

User-Defined Keywords

  • Information Science Reference
  • IT Research & Theory
  • IT Research and Theory
  • Library & Information Science

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