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Combining Data-Driven and Domain Knowledge Components in an Intelligent Assistant to Build Personalized Menus

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From Bioinspired Systems and Biomedical Applications to Machine Learning (IWINAC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11487))

Abstract

In this paper, some new components that have been integrated in the Diet4You system for the generation of nutritional plans are introduced. Negative user preferences have been modelled and introduced in the system. Furthermore, the cultural eating styles originated from the location where the user lives have been taken into account dividing the original menu plan in sub-plans. Each sub-plan is in charge to optimize one of the meals of one day in the personal menu of the user. The main latent reasoning mechanism used is case-based reasoning, which reuses previous menu configurations according to the nutritional plan and the corresponding hard constraints and the user preferences to meet a personalized recommendation menu for a given user. It uses the cognitive analogical reasoning technique in addition to ontologies, nutritional databases and expert knowledge. The preliminary results with some examples of application to test the new contextual components have been very satisfactory according to the evaluation of the experts.

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Acknowledgements

This work has been partially supported by the project Diet4You (TIN2014-60557-R), the Spanish Thematic Network MAPAS [TIN2017-90567-REDT (MINECO/FEDER EU)], and the Consolidated Research Group Grant from AGAUR (Generalitat de Catalunya) IDEAI-UPC (AGAUR SGR2017-574).

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Authors and Affiliations

  1. Computer Science Department, Universitat Politècnica de Catalunya - BarcelonaTech, Jordi Girona 1-3, 08034, Barcelona, Spain

    Miquel Sànchez-Marrè

  2. Statistics and Operations Research Department, Universitat Politècnica de Catalunya - BarcelonaTech, Jordi Girona 1-3, 08034, Barcelona, Spain

    Karina Gibert & Beatriz Sevilla-Villaneva

  3. Knowledge Engineering and Machine Learning Group (KEMLG) at Intelligent Data Science and Artificial Intelligence Research Center (IDEAI), Universitat Politècnica de Catalunya - BarcelonaTech, Jordi Girona 1-3, 08034, Barcelona, Spain

    Miquel Sànchez-Marrè, Karina Gibert & Beatriz Sevilla-Villaneva

Authors
  1. Miquel Sànchez-Marrè
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  2. Karina Gibert
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  3. Beatriz Sevilla-Villaneva
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Corresponding author

Correspondence to Miquel Sànchez-Marrè .

Editor information

Editors and Affiliations

  1. Universidad Politécnica de Cartagena, Cartagena, Spain

    José Manuel Ferrández Vicente

  2. Universidad Nacional de Educación a Distancia, Madrid, Spain

    José Ramón Álvarez-Sánchez

  3. Universidad Nacional de Educación a Distancia, Madrid, Madrid, Spain

    Félix de la Paz López

  4. Universidad Politécnica de Cartagena, Cartagena, Spain

    Javier Toledo Moreo

  5. The Ohio State University, Columbus, OH, USA

    Hojjat Adeli

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Sànchez-Marrè, M., Gibert, K., Sevilla-Villaneva, B. (2019). Combining Data-Driven and Domain Knowledge Components in an Intelligent Assistant to Build Personalized Menus. In: Ferrández Vicente, J., Álvarez-Sánchez, J., de la Paz López, F., Toledo Moreo, J., Adeli, H. (eds) From Bioinspired Systems and Biomedical Applications to Machine Learning. IWINAC 2019. Lecture Notes in Computer Science(), vol 11487. Springer, Cham. https://doi.org/10.1007/978-3-030-19651-6_17

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  • DOI: https://doi.org/10.1007/978-3-030-19651-6_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19650-9

  • Online ISBN: 978-3-030-19651-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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