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Green Product Retrieval and Recommendations System

Green Product Retrieval and Recommendations System

Yi-Chun Liao
Copyright: © 2011 |Pages: 21
ISBN13: 9781609604721|ISBN10: 1609604725|EISBN13: 9781609604738
DOI: 10.4018/978-1-60960-472-1.ch416
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MLA

Liao, Yi-Chun. "Green Product Retrieval and Recommendations System." Green Technologies: Concepts, Methodologies, Tools and Applications, edited by Information Resources Management Association, IGI Global, 2011, pp. 848-868. https://doi.org/10.4018/978-1-60960-472-1.ch416

APA

Liao, Y. (2011). Green Product Retrieval and Recommendations System. In I. Management Association (Ed.), Green Technologies: Concepts, Methodologies, Tools and Applications (pp. 848-868). IGI Global. https://doi.org/10.4018/978-1-60960-472-1.ch416

Chicago

Liao, Yi-Chun. "Green Product Retrieval and Recommendations System." In Green Technologies: Concepts, Methodologies, Tools and Applications, edited by Information Resources Management Association, 848-868. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-472-1.ch416

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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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