Exploiting relevance, novelty and diversity in tag recommendation

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

Abstract


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.
Published
2012-10-15
How to Cite

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BELÉM, Fabiano; MARTINS, Eder; ALMEIDA, Jussara; GONÇALVES, Marcos. Exploiting relevance, novelty and diversity in tag recommendation. In: BRAZILIAN SYMPOSIUM ON MULTIMEDIA AND THE WEB (WEBMEDIA), 18. , 2012, São Paulo. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2012 . p. 297-300.

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