Jonathas Magalhães

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Jonathas Magalhães is a PhD student in Computer Science at Federal University of Campina Grande (UFCG), and a member of the Intelligent, Personalized and Social Technologies Group (TIPS) at Federal University of Alagoas (UFAL). He received a BS from Federal University of Alagoas (Computer Science, 2011) and a MSc from UFCG (Computer Science, 2013). His research interests include Recommender Systems, Student and User Modeling, Adaptive Web-based systems, Artificial Intelligence in Education, Information Retrieval, and Sentiment Analysis. His current research focuses on Recommender Systems, concerning on how the user controllability affects the user experience and engagement in Recommender ...

twitter social network social query probabilidade semantic integration recommender systems artificial intelligence machine learning social search status message question asking paper recommender systems user curriculum content-based filtering oer repositories open educational resources filtragem baseada em conteúdo sistemas de recomendação filtragem colaborativa raciocínio probabilísticos redes bayesianas modelos probabilísticos bayesian networks probabilidade condicional educational resources sharing ontologies predicting engagement information diffusion. expertise finding systems community question and answering sites query routing social query; expertise finding; query routing synonyms dictionary service composition semantic web services classifier model inteligência artificial modelo classificador aprendizado de máquina supervising learning k-nearest neighbor knn aprendizado supervisionado classificador probabilístico supervised learning probabilistic classifier classificador naive bayes naive bayes classifier naive bayes routing algorithm negotiation mechanism intelligent tutoring systems bayesian networks open learner model user profile maintaining user profile integration of user profile building user profile

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Jonathas Magalhães

Practical Text Mining with SQL using Relational Databases

Interactive Recommender Systems

A formal model to the routing questions problem