Research On Expert Group Recommendation Model Based On The Scholar Community

Dispersed knowledge resources are linked up by research teams through thecooperation between experts. It is helpful for researchers to quickly and comprehensivelyinto the field and to eliminate the adverse effects brought by information overload.Therefore, expert team recommended has theoretical research value.With the development of the Internet, there appears more and more knowledgeresources convert into digital resources. The way to acquire knowledge becomes moreconvenient. Along with the rich knowledge resources, information overload phenomenonappeared. Through the study of a large number of literature and web source, found thatalthough the current academic search engine to provide literature search function, but doesnot recommend the experts in the field, let alone in recommending research team service. Itis difficult for researchers to grasp the core knowledge from the vast amounts of resources.This paper analyzes the method of building a knowledge map and forms an academiccommunity first, then to recommend the expert team. At first, choose the right platformmining knowledge resources and analyze the factors which influence experts and build anindex system to get the expert list based on the improved index.To extract the keyinformation from the research results of experts and construct the interest vector of expertsusing the correlation method. To extract the key information from the research results ofexperts and construct the interest vector of experts using the correlation method. To designthe recommendation algorithm through mining the leading academic community andcalculate the relevance between the query vector and the group interest vector and representthe results in a descending order. To analysis the method of constructing a map ofknowledge and build a map with the recommended research team.To visibly display theauthority of experts and relationship between experts with the resources of the expertgroup.The model shows the most relevant experts and the expert team network, you can viewthe research of every expert, at the same time to discover the relationship between experts.Researchers can grasp the comprehensive and in-depth field information through theknowledge map.