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Exploring the Automatic Selection of Aggregation Methods in Group Recommendation

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Fuzzy Logic and Technology, and Aggregation Operators (EUSFLAT 2023, AGOP 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14069))

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Abstract

A recommender system is a software tool designed to support users to filter out useless options within a multitude of choices and provide them with the best possible ones. Group recommender systems have emerged as an important trend in recommendation since they recommend social items that are enjoyed by more than one individual, such as TV programs and travel packages, that are typically consumed in groups. Although algorithm selection in recommender systems is a research problem covered to some extent by the research community in which individuals’ information is aggregated, this contribution is focused on the automatic selection of the most appropriate aggregation function in group recommendation. Specifically, a general framework that identifies group characteristics to be matched with the most appropriate aggregation function is presented. This approach is implemented by using a fuzzy decision tree classifier, in a content-based group recommendation approach. The development of an experimental protocol illustrates the advantage of the new proposal in relation to its corresponding baselines.

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Acknowledgements

This research is supported by the Research Project ProyExcel_00257, linked to the Andalucía Excellence Research Program. R.Yera is also supported by the Grants for the Re-qualification of the Spanish University System for 2021–2023 in the María Zambrano modality (UJAR10MZ).

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Authors and Affiliations

  1. Computer Science Department, University of Jaén, Jaén, Spain

    Raciel Yera, Rosa M. Rodríguez & Luis Martínez

Authors
  1. Raciel Yera
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  2. Rosa M. Rodríguez
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  3. Luis Martínez
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Corresponding author

Correspondence to Luis Martínez .

Editor information

Editors and Affiliations

  1. University of the Balearic Islands, Palma, Spain

    Sebastia Massanet

  2. University of Oviedo, Gijón, Spain

    Susana Montes

  3. University of the Balearic Islands, Palma, Spain

    Daniel Ruiz-Aguilera

  4. University of the Balearic Islands, Palma, Spain

    Manuel González-Hidalgo

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Yera, R., Rodríguez, R.M., Martínez, L. (2023). Exploring the Automatic Selection of Aggregation Methods in Group Recommendation. In: Massanet, S., Montes, S., Ruiz-Aguilera, D., González-Hidalgo, M. (eds) Fuzzy Logic and Technology, and Aggregation Operators. EUSFLAT AGOP 2023 2023. Lecture Notes in Computer Science, vol 14069. Springer, Cham. https://doi.org/10.1007/978-3-031-39965-7_13

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  • DOI: https://doi.org/10.1007/978-3-031-39965-7_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-39964-0

  • Online ISBN: 978-3-031-39965-7

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