A filtering and recommender system for e-scholars

The way academic community members develop their research activities, access information resources and communicate with each other has dramatically changed with the irruption of the web. Nevertheless, the tools provided by today’s web aren’t efficient enough to satisfy many of the specific requirements of this new generation of e-scholars. In this paper we present a filtering and recommender system prototype that applies two recommender approaches in order to provide users valuable information about resources and researchers pertaining to domains that completely (or partially) fit their interests. Its main features and elements are enumerated, and an operational example, which illustrates the way the system works, is presented. Additionally, the system has been evaluated and the experimental results reveal a reasonably good performance of the model here proposed.