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Considerable progress has been made in the theory of covering-based rough sets. However, there has been a lack of research on their application to classification tasks, especially for nominal data. In this paper, we propose a representative-based classification approach for nominal data using covering-based rough sets. The classifier training task considers three issues. First, we define the neighborhood...
Hybrid recommender systems combine different approaches to provide better recommendations. The most common hybrid algorithms mix collaborative, content-based, demographic filtering among others. However, these hybrid approaches seldom consider the user-recommender interaction. In this paper, we propose a new hybrid recommender system through considering the user-recommender interaction. First, we...
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