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

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@Article{Belem:2014:IPM,

• 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 Processing \& Management",
• volume = "50",
• number = "4",
• pages = "524--553",
• year = "2014",
• ISSN = "0306-4573",
• DOI = "doi:10.1016/j.ipm.2014.03.002",
• URL = "http://www.sciencedirect.com/science/article/pii/S0306457314000181",
• 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 interests.",

}

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

Citations