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Application of Genetic Algorithms and Heuristic Techniques for the Identification and Classification of the Information Used by a Recipe Recommender

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Hybrid Artificial Intelligent Systems (HAIS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9648))

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Abstract

Most of existing applications for locating and retrieving information are currently oriented towards offering personalized recommendations using well-known recommender techniques as content-based or collaborative filtering. Nevertheless, automatic information retrieval approaches still lack of an efficient analysis, integration and adaptation of the retrieved information. This can be observed mainly when information comes from different sources. In this way, the application of intelligent techniques can offer an interesting approach for solving this kind of complex processes. This paper employs an evolutive approach in order to improve the retrieval process of correct nutritional information of ingredients in an on-line recommender system of cooking recipes. The proposed algorithm has been tested over real data. Moreover, some heuristics have been included in order to improve the obtained results.

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Notes

  1. 1.

    Available in http://receteame.com/.

  2. 2.

    Database available in http://ndb.nal.usda.gov/ndb/foods.

  3. 3.

    NoSQL database which uses a JSON document structure type, available in https://www.mongodb.org/.

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Author information

Authors and Affiliations

  1. Departamento de Sistemas Informáticos y Computación (DSIC), Universitat Politècnica de València, Camino de Vera s/n, 46020, Valencia, Spain

    Cristian Peñaranda, Soledad Valero, Vicente Julian & Javier Palanca

Authors
  1. Cristian Peñaranda
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  2. Soledad Valero
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  3. Vicente Julian
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  4. Javier Palanca
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Corresponding author

Correspondence to Cristian Peñaranda .

Editor information

Editors and Affiliations

  1. Universidad Pablo de Olavide, Sevilla, Spain

    Francisco Martínez-Álvarez

  2. Universidad Pablo de Olavide, Sevilla, Spain

    Alicia Troncoso

  3. University of Salamanca, Salamanca, Spain

    Héctor Quintián

  4. University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Peñaranda, C., Valero, S., Julian, V., Palanca, J. (2016). Application of Genetic Algorithms and Heuristic Techniques for the Identification and Classification of the Information Used by a Recipe Recommender. In: Martínez-Álvarez, F., Troncoso, A., Quintián, H., Corchado, E. (eds) Hybrid Artificial Intelligent Systems. HAIS 2016. Lecture Notes in Computer Science(), vol 9648. Springer, Cham. https://doi.org/10.1007/978-3-319-32034-2_17

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  • DOI: https://doi.org/10.1007/978-3-319-32034-2_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32033-5

  • Online ISBN: 978-3-319-32034-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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