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View all- Zanon ASouza LPressato DManzato Mde Salles Soares Neto C(2020)WordRecommenderProceedings of the Brazilian Symposium on Multimedia and the Web10.1145/3428658.3431093(181-184)Online publication date: 30-Nov-2020
Recommender systems provide strategies that help users search or make decisions within the overwhelming information spaces nowadays. They have played an important role in various areas such as e-commerce and e-learning. In this paper, we propose a ...
Recommender systems apply machine learning techniques for filtering unseen information and can predict whether a user would like a given resource. There are three main types of recommender systems: collaborative filtering, content-based filtering, and ...
In recent years, a variety of review-based recommender systems have been developed, with the goal of incorporating the valuable information in user-generated textual reviews into the user modeling and recommending process. Advanced text analysis and ...
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