Fabiola S. F. Pereira

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Most work on pattern mining focuses on simple data structures such as itemsets and sequences of itemsets. However, a lot of recent applications dealing with complex data like chemical compounds, protein structures, XML and Web log databases and social networks, require much more sophisticated data structures such as trees and graphs. In these contexts,(More)
A requirement for a great user experience is to meet the exact needs for the usage of a recommender system. Such systems need user's historical preferences to reasonably perform, which might not be the case for a cold-start user. This paper presents VP-Rec, a hybrid image recommender system that addresses the new user cold-start problem. VP-Rec combines(More)
In online social media systems users are not only posting, consuming, and sharing content, but also creating new and destroying existing connections in the underlying social network. This behavior lead us to investigate how user structural position reacts with the evolution of the underlying social network structure. While centrality metrics have been(More)
Researchers from all over the world are engaged in the design of a new Internet, and Software-Defined Networking (SDN) is one of the results of this engagement. Net-Ontology uses a SDN approach to bring semantics to the intermediate network layers and make them capable of handling application requirements and adapt their behaviour over time as required. In(More)
Large amounts of images from medical exams are being stored in databases, so developing retrieval techniques is an important research problem. Retrieval based on the image visual content is usually better than using textual descriptions, as they seldom gives every nuances that the user may be interested in. Content-based image retrieval employs the(More)
What drives people's preferences dynamics? Modeling users' preferences and needs is one of the most important personalization tasks in information retrieval and recommender systems domains. User preferences are fairly dynamic, since users tend to exploit a wide range of items and modify their tastes accordingly over time. Moreover, all the time users are(More)