Personalized and object-centered tag recommendation methods for Web 2.0 applications

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Fabiano M. Belem and Eder F. Martins and 
                 Jussara M. Almeida and Marcos A. Goncalves",
  title =        "Personalized and object-centered tag recommendation
                 methods for Web 2.0 applications",
  journal =      "Information Processin \& Management",
  volume =       "50",
  number =       "4",
  pages =        "524--553",
  year =         "2014",
  ISSN =         "0306-4573",
  DOI =          "doi:10.1016/j.ipm.2014.03.002",
  URL =          "",
  keywords =     "genetic algorithms, genetic programming, Tag
                 recommendation, Relevance metrics, Personalisation",
  abstrct =      "Several Web 2.0 applications allow users to assign
                 keywords (or tags) to provide better organisation and
                 description of the shared content. Tag recommendation
                 methods may assist users in this task, improving the
                 quality of the available information and, thus, the
                 effectiveness of various tag-based information
                 retrieval services, such as searching, content
                 recommendation and classification. This work addresses
                 the tag recommendation problem from two perspectives.
                 The first perspective, centred at the object, aims at
                 suggesting relevant tags to a target object, jointly
                 exploiting the following three dimensions: (i) tag
                 co-occurrences, (ii) terms extracted from multiple
                 textual features (e.g., title, description), and (iii)
                 various metrics to estimate tag relevance. The second
                 perspective, centered at both object and user, aims at
                 performing personalised tag recommendation to a target
                 object-user pair, exploiting, in addition to the three
                 aforementioned dimensions, a metric that captures user

Genetic Programming entries for Fabiano M Belem Eder F Martins Jussara Marques de Almeida Marcos Andre Goncalves