Abstract
In a scientific scenario we can notice the predominance of explicit knowledge being manipulated and distributed, which makes recommender systems very useful in this environment. But along with a knowledge management approach this kind of system can support the organisation in better identifying competences, help engage users in a continuous and dynamic knowledge exchange and customise knowledge dissemination as much as possible. MISIR is a collaborative recommender system, developed to help to the process of knowledge exchange. In this work we detail a collaborative recommender system which is used in a scientific knowledge management environment; we show how this approach can be aimed at a KM process and how this approach can deal with other kinds of knowledge used in research centres and universities.
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