Data Mining for Recommendation System in e-Commerce
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Authors
Cha, Eunjeong
Issue Date
2006
Type
Thesis
Language
Keywords
Data models
Alternative Title
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.
Description
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.