Recommending Domain Experts in a Social Network

Abstract

This paper presents the expert recommender system, called SWEETS, in its version 2.0, and its implementation in the environment A.M.I.G.O.S., a web based social network (WBSN). This environment is used as a communication and cooperation tool among employees from C.E.S.A.R. – a Brazilian innovative institute in software products. SWEETS uses folksonomy’s emergent ontology to spread the employees’ tacit knowledge throughout the company and thus an interaction improvement will be developed among them. By this, the communication and cooperation among the C.E.S.A.R. employees tend to significant improvements.