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Customized Recommendation Mechanism Based on Web Data Mining and Case-Based Reasoning

Customized Recommendation Mechanism Based on Web Data Mining and Case-Based Reasoning

Jin Sung Kim
Copyright: © 2008 |Pages: 14
ISBN13: 9781599049519|ISBN10: 1599049511|EISBN13: 9781599049526
DOI: 10.4018/978-1-59904-951-9.ch164
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MLA

Kim, Jin Sung. "Customized Recommendation Mechanism Based on Web Data Mining and Case-Based Reasoning." Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications, edited by John Wang, IGI Global, 2008, pp. 2659-2672. https://doi.org/10.4018/978-1-59904-951-9.ch164

APA

Kim, J. S. (2008). Customized Recommendation Mechanism Based on Web Data Mining and Case-Based Reasoning. In J. Wang (Ed.), Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications (pp. 2659-2672). IGI Global. https://doi.org/10.4018/978-1-59904-951-9.ch164

Chicago

Kim, Jin Sung. "Customized Recommendation Mechanism Based on Web Data Mining and Case-Based Reasoning." In Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications, edited by John Wang, 2659-2672. Hershey, PA: IGI Global, 2008. https://doi.org/10.4018/978-1-59904-951-9.ch164

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Abstract

One of the attractive topics in the field of Internet business is blending Artificial Intelligence (AI) techniques with the business process. In this research, we suggest a web-based, customized hybrid recommendation mechanism using Case-Based Reasoning (CBR) and web data mining. CBR mechanisms are normally used in problems for which it is difficult to define rules. In web databases, features called attributes are often selected first for mining the association knowledge between related products. Therefore, data mining is used as an efficient mechanism for predicting the relationship between goods, customers’ preference, and future behavior. If there are some goods, however, which are not retrieved by data mining, we can’t recommend additional information or a product. In this case, we can use CBR as a supplementary AI tool to recommend the similar purchase case. Web log data gathered in a real-world Internet shopping mall was given to illustrate the quality of the proposed mechanism. The results showed that the CBR and web data mining-based hybrid recommendation mechanism could reflect both association knowledge and purchase information about our former customers.

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