Exploiting relevance, novelty and diversity in tag recommendation

  • Fabiano Belém UFMG
  • Eder Martins UFMG
  • Jussara Almeida UFMG
  • Marcos Gonçalves UFMG

Resumo


Tag recommendation methods have mostly focused on maximizing relevance, but other aspects may be as important for recommendation usefulness. We here define novelty and diversity for tag recommendation, and propose two new recommendation strategies that consider these aspects jointly with relevance. We evaluate the proposed strategies using real datasets from 3 popular Web 2.0 applications, achieving gains over the state-of-the-art of up to 21% in relevance, 45% in novelty and 2.5\% in diversity.
Palavras-chave: Recomenda¸c˜ao de Tags, Novidade, Diversidade
Publicado
15/10/2012
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BELÉM, Fabiano; MARTINS, Eder; ALMEIDA, Jussara; GONÇALVES, Marcos. Exploiting relevance, novelty and diversity in tag recommendation. In: SIMPÓSIO BRASILEIRO DE SISTEMAS MULTIMÍDIA E WEB (WEBMEDIA), 18. , 2012, São Paulo. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2012 . p. 297-300.

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