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Recommender Systems Based on Detection Community in Academic Social Network
2021
Zenodo
Academic social networks have become essential online platforms for researchers seeking digital visibility and scientific collaboration. But, the speed with which new scientific articles are published and shared on these academic ecosystems generates a situation of cognitive overload, creating disorientation in the search for relevant and useful information, hence the need for a filtering process to reduce this information overload. In this context, we propose a hybrid approach to recommending
doi:10.5281/zenodo.5801852
fatcat:wufjafk54bhe5o25f5zrvonqyi