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NEO 2015 pp 357-375 | Cite as

Profiting from Several Recommendation Algorithms Using a Scalable Approach

  • Daniel Lanza
  • F. Chávez
  • Francisco Fernandez
  • M. Garcia-Valdez
  • Leonardo Trujillo
  • Gustavo Olague
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 663)

Abstract

This chapter proposes the use of a scalable platform to run a complex recommendation system. We focus on a system made up of several recommendation algorithms which are run as an offline process. This offline process generates user profiles that represent which algorithm should provide the recommendations to a given user and item, and will be combined with a fuzzy decision system to generate every recommendation. Yet, given the amount of data that will be processed and the need to run that offline process frequently, we propose to reduce execution time by using Hadoop, a scalable, distributed and fault-tolerant platform. Obtained results shows how the main goal pursued here is achieved: the efficient use of computer resources which allows for a significant reduction in computing time.

Keywords

Recommendation System Real Rating Collaborative Filter Recommendation Algorithm Good Recommendation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

This work has been supported by FP7-PEOPLE-2013-IRSES, Grant 612689 ACoBSEC, Spanish Ministry of Economy, Project UEX:EPHEMEC (TIN2014-56494-C4-2-P) and CDTI project Smart Cities & Mobile Technologies; Junta de Extremadura, and FEDER, project GR15068. It has also been supported by CONACyT México by the project 155045 – “Evolución de Cerebros Artificiales en Visión por Computadora” and TESE by the project DIMI-MCIM-004/08.

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Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  • Daniel Lanza
    • 1
  • F. Chávez
    • 2
  • Francisco Fernandez
    • 2
  • M. Garcia-Valdez
    • 3
  • Leonardo Trujillo
    • 3
  • Gustavo Olague
    • 4
  1. 1.European Organisation for Nuclear Research (CERN)GenevaSwitzerland
  2. 2.University de ExtremaduraBadajozSpain
  3. 3.Instituto Tecnológico de TijuanaTijuanaMexico
  4. 4.Centro de Investigacion Cientifica y de Educacion Superior de EnsenadaEnsenadaMexico

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