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http://dx.doi.org/10.21219/jitam.2019.26.5.057

Design and Implementation of Dynamic Recommendation Service in Big Data Environment

Kim, Ryong (Dept. of Management, ChungNam National University)
Park, Kyung-Hye (School of Business, College of Economics and Management, ChungNam National University)

Publication Information

Journal of Information Technology Applications and Management / v.26, no.5, 2019 , pp. 57-65 More about this Journal

Abstract

Recommendation Systems are information technologies that E-commerce merchants have adopted so that online shoppers can receive suggestions on items that might be interesting or complementing to their purchased items. These systems stipulate valuable assistance to the user's purchasing decisions, and provide quality of push service. Traditionally, Recommendation Systems have been designed using a centralized system, but information service is growing vast with a rapid and strong scalability. The next generation of information technology such as Cloud Computing and Big Data Environment has handled massive data and is able to support enormous processing power. Nevertheless, analytic technologies are lacking the different capabilities when processing big data. Accordingly, we are trying to design a conceptual service model with a proposed new algorithm and user adaptation on dynamic recommendation service for big data environment.

Keywords

Big Data Environment; Dynamic Recommendation Service; E-commerce Merchants; Information Technology;

Citations & Related Records

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