Collective intelligence based place recommendation system

Abstract

Recently, various place recommendation systems are being used by users under social network environment. As the place service gets composed of only the limited categories in case of being made up of the expert knowledge, it has a factor of lacking the information desired by users. In this study, a collective intelligence based QnA information in which many of users participate in was used in order to supplement the details lacking in the place information that was being built up through the existing expert knowledge. Based on these, this paper proposes a place recommendation service using the collective intelligence and heterogeneous information source convergence. Also, the fact that the method we have proposed is able to provide the place recommendation service in a useful way under the location based social network environment was shown through the experiment. © Springer-Verlag 2013.