Recomendação de pesquisadores na UNIPAMPA: uma proposta baseada no conteúdo de projetos de pesquisa

Abstract

Recommender Systems (RS) are important tools to overcome the Web 2.0 information overload problem. Big companies such as Amazon, Netflix, Facebook, YouTube, are well known for using these mechanisms. In the academic field, recommendation systems are more popular in recommending scientific articles for activities such literature review (Scholar, Web of Science and Scopus). However the recommendation of researchers for scientific collaboration in research projects is a domain that needs more attention in RS. In this context, the recommendation of researchers can foster scientific collaboration, which in turn provides several benefits, such as knowledge sharing, development of institutions and their regions, increase the researcher’s network, resolution of complex problems, etc. Therefore, the goal of this work is to develop and evaluate a scientific collaborator recommender system for scientific collaboration at UNIPAMPA. The proposed recommendation method consists in evaluating the similarity of researcher profiles constructed from the keywords and bibliographic references of the research projects registered in the Information System for Research, Teaching and Extension Projects (SIPPEE).The system was evaluated through an interview with researchers using SIPPEE. As a result, it has been identified that SIPPEE data can be used to identify researchers with potential for collaboration.