User Preference Dynamics on Evolving Social Networks - Learning, Modeling and Prediction

  • Fabiola S. F. Pereira UFU
  • Gina M. B. Oliveira UFU
  • João Gama Univ. of Porto, Portugal

Resumo


The preferences adopted by individuals are constantly modified as these are driven by new experiences, natural life evolution and, mainly, influence from friends. Studying these temporal dynamics of user preferences has become increasingly important for personalization tasks. Online social networks contain rich information about social interactions and relations, becoming essential source of knowledge for the understanding of user preferences evolution. In this thesis, we investigate the interplay between user preferences and social networks over time. We use temporal networks to analyze the evolution of social relationships and propose strategies to detect changes in the network structure based on node centrality. Our findings show that we can predict user preference changes by just observing how her social network structure evolves over time.
Publicado
29/10/2019
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PEREIRA, Fabiola S. F.; OLIVEIRA, Gina M. B.; GAMA, João. User Preference Dynamics on Evolving Social Networks - Learning, Modeling and Prediction. In: CONCURSO DE TESES E DISSERTAÇÕES - SIMPÓSIO BRASILEIRO DE SISTEMAS MULTIMÍDIA E WEB (WEBMEDIA), 1. , 2019, Florianópolis. Anais Estendidos do XXV Simpósio Brasileiro de Sistemas Multimídia e Web. Porto Alegre: Sociedade Brasileira de Computação, oct. 2019 . p. 21-24. ISSN 2596-1683. DOI: https://doi.org/10.5753/webmedia_estendido.2019.8129.