A Filtering and Recommender System Prototype for Scholarly Users of Digital Libraries

The research and scholarly community of users in a digital library presents several characteristics that make necessary the development of new services capable of satisfying their specific information needs. In this paper we present a filtering and recommender system prototype that applies two approaches to recommendations in order to provide users valuable information about resources and researchers pertaining to domains that completely (or partially) fit that of interest of the user. As an outlook, we briefly enumerate its main features and elements, and present an operational example, which illustrates the overall system performance. Additionally, the outcomes of a simple evaluation of the prototype are shown.

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