Green Product Retrieval and Recommendations System

Green Product Retrieval and Recommendations System

Yi-Chun Liao
ISBN13: 9781605661148|ISBN10: 1605661147|ISBN13 Softcover: 9781616926243|EISBN13: 9781605661155
DOI: 10.4018/978-1-60566-114-8.ch017
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MLA

Liao, Yi-Chun. "Green Product Retrieval and Recommendations System." Web-Based Green Products Life Cycle Management Systems: Reverse Supply Chain Utilization, edited by Hsiao-Fan Wang, IGI Global, 2009, pp. 379-400. https://doi.org/10.4018/978-1-60566-114-8.ch017

APA

Liao, Y. (2009). Green Product Retrieval and Recommendations System. In H. Wang (Ed.), Web-Based Green Products Life Cycle Management Systems: Reverse Supply Chain Utilization (pp. 379-400). IGI Global. https://doi.org/10.4018/978-1-60566-114-8.ch017

Chicago

Liao, Yi-Chun. "Green Product Retrieval and Recommendations System." In Web-Based Green Products Life Cycle Management Systems: Reverse Supply Chain Utilization, edited by Hsiao-Fan Wang, 379-400. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-114-8.ch017

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Abstract

This chapter introduces a preference-based recommendation procedure in a green product information retrieval system. It constructs a green information management system based on data mining technology. Green products and relevant green regulations were collected and then integrated in a content-based and collaborative filtering method to provide a preference-based query interface for green products. It is hoped that the proposed system offers consumers a green information platform when they are considering buying green products. Our proposed system recommends the best possible choices for consumers that indicate a green preference. Besides serving as a green information retrieval for the consumers, the system also assists the product designers with understanding the preference some consumers have for green products and the satisfaction they get from buying these products.

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