The mechanism of personalized service recommendation for the academic field

Value services for people living in the flood of information is a service that reduces the time for information retrieval. To reduce the information retrieval time, the system should provide only the content that the user needs. The system collects and analyzes all the information related to the user to select the content that the user needs. Particularly, in the case of academics, such information includes major field, final degree, occupational group information, and contents information used by the user. This paper analyzes the characteristics of people in academia by using KOSEN system and proposes a personalized recommendation system for them. KOSEN is a web site where Korean scientists from all over the world come together to share information and networking. In addition, this paper suggests the services and contents required by KOSEN members considering the residential areas due to the nature of KOSEN. To do this, we use a big data processing solution and describe the analysis result.