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Multi-agent Web Recommender System for Online Educational Environments

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Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017 (PAAMS 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 619))

Abstract

In our research work we plan to develop a Multi-agent based Recommender System to help e-learning systems recommend the more appropriate learning resources to students. In our approach we will explore the multi-agent technology potentialities to build a solution where multiple collaborative and content filtering algorithms, working together, leads to a higher performance solution than that obtained with individual algorithms.

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References

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Author information

Authors and Affiliations

  1. Universidade Aberta, Lisbon, Portugal

    Joaquim Neto

  2. Laboratório Nacional de Engenharia Civil, Universidade Aberta, Lisbon, Portugal

    Joaquim Neto

Authors
  1. Joaquim Neto
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Corresponding author

Correspondence to Joaquim Neto .

Editor information

Editors and Affiliations

  1. Departamento de Informática y Automática, Facultad de Ciencias, Universidad de Salamanca, Salamanca, Spain

    Fernando De la Prieta

  2. GECAD Instituto Superior de Engenharia do Porto, Porto, Portugal

    Zita Vale

  3. Department of Informática, Universidade de Lisboa Faculdade de Ciências, Lisboa, Portugal

    Luis Antunes

  4. Facultad de Ciencias, Departamento de Informática y Automática, Salamanca, Spain

    Tiago Pinto

  5. School of Computer Science, Dartmouth College, Hanover, New Hampshire, USA

    Andrew T. Campbell

  6. Departamento de Sistemas Informáticos y Computación, Universidad Politecnica de Valencia, Valencia, Spain

    Vicente Julián

  7. University of Aveiro, Institute of Electronics and Telematics Engineering, Aveiro, Portugal

    Antonio J.R. Neves

  8. Departamento de Informática y Automática, Facultad de Ciencias, University of Salamanca, Salamanca, Salamanca, Spain

    María N. Moreno

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Neto, J. (2018). Multi-agent Web Recommender System for Online Educational Environments. In: De la Prieta, F., et al. Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017. PAAMS 2017. Advances in Intelligent Systems and Computing, vol 619. Springer, Cham. https://doi.org/10.1007/978-3-319-61578-3_46

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  • DOI: https://doi.org/10.1007/978-3-319-61578-3_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61577-6

  • Online ISBN: 978-3-319-61578-3

  • eBook Packages: EngineeringEngineering (R0)

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