Toward of Conceptual Recommender Service for Big Data Platform

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.