A Study of Conceptual Recommender System for Big Data Platform

Although there has been much work done in the industry and academia on developing the theory and application of social networks as well as recommender systems, the relation between these research areas is still unclear. An innovative idea, which enables to integrate these areas, and applies recommendation systems to the big data systems, is proposed in this paper. Recommendation systems for machine learning and data mining differ from the typical kinds of recommendation solutions, since they suggest human beings to other ones rather than inanimate goods. Thus, conventional recommendation methods should be enhanced by their features of the networks and their members. This paper presents the result of the study on the recommendation framework for cloud environment. It also contains an overview of recent approaches to recommendation systems.