CV Lattes
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Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC) (Institutional affiliation for the last research proposal) Birthplace: Brazil
Bachelor's at Ciência da Computação from Universidade Estadual de Londrina (2003), Master's at Computer Science from Universidade de São Paulo (2006) and Doctorate at Ciências da Computação from Universidade de São Paulo (2011). Has experience in Computer Science, acting on the fields of Recommender Systems and Information Retrieval. Nowadays is employed as teacher and researcher by the University of São Paulo (USP), São Carlos, Brazil. (Source: Lattes Curriculum)
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Recommender systems aim to select and present relevant content according to users' preferences, reducing the information overload problem. Among the available techniques, the most known are collaborative and content-based filtering. In addition, there is a trend nowadays to use annotations collaboratively provided by users, such as tags, reviews, comments and interactions, in order to dea…
Recommender systems are an important tool to cope with the information overload problem. However, a common problem among the approaches is how to obtain meaningful information about the content and about the users' preferences. This problem is known as semantic gap, and the related problems have been studied over the years. On the other hand, with the Web 2.0 advent, and the possibility o…
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Recommender systems have been widely applied in many areas, but the information available for the creation of such systems is poorly structured, given the lack of information provided by users. We propose approaches for pre-processing of the databases used in recommendations in order to elicit the most relevant information to the application. To this end, we explore categories present in …
Content-based recommender systems depend on the viability of metadata in order to filter relevant content to a particular user. Such information can be extracted using automatic and manual indexing techniques. While automatic approaches require the data to be restricted to a specific domain, because they analyze low-level characteristics in order to infer semantic information, manual appr…
| 5 / 5 | Completed research grants |
| 2 / 2 | Completed scholarships in Brazil |
| 7 / 7 | All research grants and scholarships |
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