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Data Mining for Recommendation System in e-Commerce

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dc.contributor.author Cha, Eunjeong en_US
dc.date.accessioned 2014-07-16T17:02:30Z
dc.date.available 2014-07-16T17:02:30Z
dc.date.issued 2006 en_US
dc.identifier.citation E. Cha, "Data Mining for Recommendation System in e-Commerce", M.S. Project Report, Dept. of Computer Science and Engineering, Univ. of Bridgeport, Bridgeport, CT, 2006.
dc.identifier.uri https://scholarworks.bridgeport.edu/xmlui/handle/123456789/824
dc.description.abstract This is e-commerce to sell wigs and hairpieces. This company has their own off-line business as well. When I started this project they wanted to build not only web-site but also recommendation system. One more request was that they would like to reflect their own business know-how. Now I will show what classic recommendation system is and how I solved their request. In off-line business, they are talking with customer and they can guess what they want and what will fit to them and then they can recommend some item to customer. In e-commerce, it is difficult to apply customer’s request in real-time. What is the most interactive data in web-site? The answer is web log from web server so most of e-commerce use and analyze that for their system. In this paper, we designed database to transfer from off-line knowledge to on-line recommendation system that can help selling product. This paper concern about Collaborative filter and association rule mining which is popular in this field. In this site, we need special database design to solve their request, to add their own experience and data preparation. This paper shows how data mining can help e-business to improve their customer relationship and make intelligent business strategies. en_US
dc.subject Data models en_US
dc.title Data Mining for Recommendation System in e-Commerce en_US
dc.type Thesis en_US
dc.notes Theses(M.S)- University of Bridgeport en_US
dc.institute.department School of Engineering en_US
dc.institute.name University of Bridgeport en_US

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