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http://dx.doi.org/10.9728/dcs.2014.15.6.711

A Study of Recommending Service Using Mining Sequential Pattern based on Weight  

Cho, Young-Sung (Dongyang Mirae Univ.)
Moon, Song-Chul (Namseoul Univ. Dept. Computer Sience)
Ahn, Yeon S. (Gacheon Univ. Dept. of Mgt. Admistration)
Publication Information
Journal of Digital Contents Society / v.15, no.6, 2014 , pp. 711-719 More about this Journal
Abstract
Along with the advent of ubiquitous computing environment, it is becoming a part of our common life style that the demands for enjoying the wireless internet using intelligent portable device such as smart phone and iPad, are increasing anytime or anyplace without any restriction of time and place. The recommending service becomes a very important technology which can find exact information to present users, then is easy for customers to reduce their searching effort to find out the items with high purchasability in e-commerce. Traditional mining association rule ignores the difference among the transactions. In order to do that, it is considered the importance of type of merchandise or service and then, we suggest a new recommending service using mining sequential pattern based on weight to reflect frequently changing trends of purchase pattern as time goes by and as often as customers need different merchandises on e-commerce being extremely diverse. To verify improved better performance of proposing system than the previous systems, we carry out the experiments in the same dataset collected in a cosmetic internet shopping mall.
Keywords
e-commerce; Ubiquitous computing; Data Mining; Sequential Pattern; Recommending Service;
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