Using Recommendation Systems for Explicit Knowledge Dissemination and Profiling Identification for Scientific and Engineering Contexts
Carlos Eduardo Barbosa, Jonice Oliveira, Luciano Maia, Jano Moreira de Souza · 2007
In scientific and engineering scenarios 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 organization in better identifying competences, help engage users in a continuous and dynamic knowledge exchange, and customize knowledge dissemination as much as possible. In this work we detail a collaborative recommender system which is used in a Knowledge Management Environment for Scientific and Engineering contexts; 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 centers and universities.