Tuesday 17 November 2009

Wseas Transactions

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Transactions: WSEAS TRANSACTIONS ON SYSTEMS
Transactions ID Number: 89-118
Full Name: Teruji Sekozawa
Position: Professor
Age: ON
Sex: Male
Address: 3-27-1,Rokkakubashi,Kanagawa-ku, Yokohama 221-8686 Japan
Country: JAPAN
Tel: +81-45-481-5661
Tel prefix:
Fax: +81-45-413-6565
E-mail address: sekozawa@ie.kanagawa-u.ac.jp
Other E-mails: sekozawa@is.kanagawa-u.ac.jp
Title of the Paper: One to One Recommendation System for Apparel Online Shopping
Authors as they appear in the Paper: Teruji Sekozawa
Email addresses of all the authors: sekozawa@ie.kanagawa-u.ac.jp
Number of paper pages: 10
Abstract: Clients who visit an apparel marketing website but have little previous knowledge of fashions tend to have difficulties selecting clothes that suit their tastes. Faced with an immense number of products on display, they can become quite confused and even hesitate to make any selections at all. Clients who visit an apparel marketing website but have little previous knowledge of fashions tend to have difficulties selecting clothes that suit their tastes. Faced with an immense number of products on display, they can become quite confused and even hesitate to make any selections at all. This study proposes a system that supports online purchases of garments with functions to select and recommend garments on the basis of the customerfs tastes. The system has three basic capabilities: (1) It analyzes the customerfs tastes using the analytical hierarchy process (AHP) and selects and suggests clothes. (2) It designates a priority for suggesting the garments using co!
rrelations found by clustering. (3) It suggests second purchases of items that have been chosen by previous customers with similar tastes who bought a garment that the current online customer has just decided to buy. The second purchases are selected using market basket analysis. Two databases are essential to this process: one for the attributes of garments and one for simultaneous purchases of garments.
Keywords: Analytical hierarchy process, Online shopping, One-to-one, Recommendation system, Coordination, Market basket analysis
EXTENSION of the file: .pdf
Special (Invited) Session: 8th WSEAS Int.Conf. on SYSTEM SCIENCE and SIMULAION ENGINERING(ICOSSSE09)
Organizer of the Session: 626-143
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