• Regularização social em sistemas de recomendação com filtragem colaborativa 

      Zabanova, Tatyana (Universidade Federal de São Carlos, UFSCar, Programa Interinstitucional de Pós-Graduação em Estatística - PIPGEs, Câmpus São Carlos, 14/05/2019)
      Models based on matrix factorization are among the most successful implementations of Recommender Systems. In this project, we study the possibilities of incorporating the information from social networks to improve the ...
    • Representação vetorial distribuída em sistemas de recomendação 

      Pires, Pedro Reis (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC-So, Câmpus Sorocaba, 26/03/2021)
      Today, with the constant growth in the number of available digital content and ease of access to a huge amount of data, it is increasingly difficult to find relevant information. From this problem, recommender systems ...
    • Optimum-path forest in support of collaborative filtering 

      Martins, Guilherme Brandão (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 07/12/2023)
      Machine learning algorithms are being applied in various computational challenges, among which Recommender Systems (RS) present a range of techniques and approaches to effectively manage large volumes of data and provide ...