A multimodal query expansion based on genetic programming for visually-oriented e-commerce applications

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Saraiva:2016:IPM,
  author =       "Patricia C. Saraiva and Joao M. B. Cavalcanti and 
                 Edleno {S. de Moura} and Marcos A. Goncalves and 
                 Ricardo {da S. Torres}",
  title =        "A multimodal query expansion based on genetic
                 programming for visually-oriented e-commerce
                 applications",
  journal =      "Information Processin \& Management",
  year =         "2016",
  ISSN =         "0306-4573",
  DOI =          "doi:10.1016/j.ipm.2016.03.001",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0306457316300206",
  abstract =     "We present a novel multimodal query expansion
                 strategy, based on genetic programming (GP), for image
                 search in visually-oriented e-commerce applications.
                 Our GP-based approach aims at both: learning to expand
                 queries with multimodal information and learning to
                 compute the {"}best{"} ranking for the expanded
                 queries. However, different from previous work, the
                 query is only expressed in terms of the visual content,
                 which brings several challenges for this type of
                 application. In order to evaluate the effectiveness of
                 our method, we have collected two datasets containing
                 images of clothing products taken from different online
                 shops. Experimental results indicate that our method is
                 an effective alternative for improving the quality of
                 image search results when compared to a genetic
                 programming system based only on visual information.
                 Our method can achieve gains varying from 10.8percent
                 against the strongest learning-to-rank baseline to
                 54percent against an adhoc specialized solution for the
                 particular domain at hand.",
  keywords =     "genetic algorithms, genetic programming, Content-based
                 image retrieval, Multimodal query expansion,
                 E-commerce",
}

Genetic Programming entries for Patricia Correia Saraiva Joao Marcos B Cavalcanti Edleno Silva de Moura Marcos Andre Goncalves Ricardo da Silva Torres

Citations