Graduated in Information Systems from the University of São Paulo (2012) with emphasis on Decision Support Systems, Masters (2015) and PhD (2019) in Computer Science and Computational Mathematics also from the University of São Paulo. Her main research interests include: Structured and unstructured data mining, Information Retrieval, Recommender Systems, context extraction and others within the area of Computational Intelligence. (Source: Lattes Curriculum)
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Nowadays, users have difficulties in choosing products and services on the Web due to the large variety of options. Recommender systems are designed to assist users to identify items of interest in a set of options. Most approaches for recommendation systems focus on recommending items that are most relevant to individual users, not taking into account the context of the users. However, i…
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