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Toward of Conceptual Recommender Service for Big Data Platform

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Recommendation system (RS) is an information technology that commerce vendors have adopted so that customer can receive suggestions on the items that they will find interesting. These systems are a valuable assistant to the user purchase decisions, and provide quality of push service. Traditionally RS have been designed using a centralized system, but information service is growing huge and rapid scalability very big. Next generation technology like Cloud Computing (CC) and Big Data Environment (BDE) has handle massive data and can support enormous processing. Nevertheless, analytic technologies are lacking in capabilities when processing big data. Accordingly we will design to conceptual service model and propose new algorithm and user adaptation on recommendation system for big data environment.
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Keywords: Big Data Environment; Cloud Computing; Recommendation System

Document Type: Research Article

Affiliations: College of Information and Communication Engineering, Sungkyunkwan University, Suwon 440746, Korea College of Mechanical Systems Engineering, Hansung University, Seoul 136792, Korea

Publication date: November 1, 2016

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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