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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

A Knowledge-Based Recommender System for Customized Online Shopping

A Knowledge-Based Recommender System for Customized Online Shopping
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Author(s): Fiona Y. Chan (Hong Kong Baptist University, Hong Kong)and William K. Cheung (Hong Kong Baptist University, Hong Kong)
Copyright: 2002
Pages: 4
Source title: Issues & Trends of Information Technology Management in Contemporary Organizations
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-930708-39-6.ch040
ISBN13: 9781930708396
EISBN13: 9781466641358


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.

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