Document Type

Conference Paper

Department/Unit

Department of Computer Science

Title

A knowledge-based recommender system for customized online shopping

Language

English

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.

Keywords

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

Publication Date

5-2005

Source Publication Title

Issues and trends of information technology management in contemporary organizations : 2002 Information Resources Management Association, International Conference, Seattle, Washington, USA, May 19-22, 2002

Editors

Khosrow-Pour, Mehdi

Start Page

152

End Page

155

Conference Location

Seattle, United States

Publisher

Idea

Peer Reviewed

1

DOI

10.4018/978-1-930708-39-6.ch040

ISBN (print)

9781930708396

ISBN (electronic)

9781466641358

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