A knowledge-based recommender system for customized online shopping

Fiona Y. Chan; Kwok Wai Cheung

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

A knowledge-based recommender system for customized online shopping

Fiona Y. Chan, Kwok Wai Cheung

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-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 language	English
Title of host publication	Issues and trends of information technology management in contemporary organizations
Subtitle of host publication	2002 Information Resources Management Association, International Conference, Seattle, Washington, USA, May 19-22, 2002
Publisher	IGI Global
Pages	152-155
Number of pages	4
ISBN (Electronic)	9781466641358
ISBN (Print)	9781930708396
DOIs	https://doi.org/10.4018/978-1-930708-39-6.ch040
Publication status	Published - May 2002
Event	Issues and trends of information technology management in contemporary organizations : 2002 Information Resources Management Association, International Conference - Seattle, United States Duration: 19 May 2002 → 22 May 2002

Conference

Conference	Issues and trends of information technology management in contemporary organizations : 2002 Information Resources Management Association, International Conference
Period	19/05/02 → 22/05/02

User-Defined Keywords

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

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

Cite this

Chan, F. Y., & Cheung, K. W. (2002). A knowledge-based recommender system for customized online shopping. In Issues and trends of information technology management in contemporary organizations: 2002 Information Resources Management Association, International Conference, Seattle, Washington, USA, May 19-22, 2002 (pp. 152-155). IGI Global. https://doi.org/10.4018/978-1-930708-39-6.ch040

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title = "A knowledge-based recommender system for customized online shopping",

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",

author = "Chan, {Fiona Y.} and Cheung, {Kwok Wai}",

year = "2002",

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doi = "10.4018/978-1-930708-39-6.ch040",

language = "English",

isbn = "9781930708396",

pages = "152--155",

booktitle = "Issues and trends of information technology management in contemporary organizations",

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note = "Issues and trends of information technology management in contemporary organizations : 2002 Information Resources Management Association, International Conference ; Conference date: 19-05-2002 Through 22-05-2002",

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Chan, FY & Cheung, KW 2002, A knowledge-based recommender system for customized online shopping. in Issues and trends of information technology management in contemporary organizations: 2002 Information Resources Management Association, International Conference, Seattle, Washington, USA, May 19-22, 2002. IGI Global, pp. 152-155, Issues and trends of information technology management in contemporary organizations : 2002 Information Resources Management Association, International Conference, 19/05/02. https://doi.org/10.4018/978-1-930708-39-6.ch040

A knowledge-based recommender system for customized online shopping. / Chan, Fiona Y.; Cheung, Kwok Wai.
Issues and trends of information technology management in contemporary organizations: 2002 Information Resources Management Association, International Conference, Seattle, Washington, USA, May 19-22, 2002. IGI Global, 2002. p. 152-155.

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

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AB - 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.

KW - Information Science Reference

KW - IT Research & Theory

KW - IT Research and Theory

KW - Library & Information Science

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A knowledge-based recommender system for customized online shopping

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