PRESENTE Y FUTURO DE LOS SISTEMAS RECOMENDADORES EN LA WEB 2.0.

  • Pascual-Miguel F
  • Chaparro-Peláez J
  • Fumero-Reverón A
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Abstract

In a Web dominated by social media for information, relationships and communication, the established dynamics between content, people and technology change radically. Given the relevance of the user-generated content in such a scenario and its essentially relational nature, successfully locating the best sources of information requires the development of recommender systems that incorporate the social characteristic of scenarios built on a network that goes beyond the original Internet. The article provides a review of current approaches to the process of recommendation, placing them in the context of consolidated trends associated with the phenomenon of Social Computing, and highlights some lines of development in the area of redefining the problem of recommendation in a context dominated by social networks and user-generated content. (English) [ABSTRACT FROM AUTHOR]

Author-supplied keywords

  • Collaborative filtering
  • Contenidos
  • Contents
  • Filtering systems
  • Filtraje cooperativo
  • Fuentes de información
  • Grafo social
  • INFORMATION resources
  • INTERNET users
  • Information sources
  • Recommender systems
  • Redes sociales
  • SOCIAL computing
  • SOCIAL media
  • SOCIAL networks
  • Semantic web
  • Sistemas de filtraje
  • Sistemas recomendadores
  • Social graph
  • Social networks
  • WEB 2.0
  • Web 2.0
  • Web semántica

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Authors

  • Félix Pascual-Miguel

  • Julián Chaparro-Peláez

  • Antonio Fumero-Reverón

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