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Generating complete menus from nutritional prescriptions by using advanced CBR and real food databases

Author
Sevilla-Villanueva, Beatriz; Gibert, Karina; Sànchez-Marrè, M.
Type of activity
Book chapter
Book
Recent advances in artificial intelligence research and development. Proceedings of the 20th International Conference of the Catalan Association for Artificial Intelligence, Deltebre, Terres de l’Ebre, Spain, October 25–27, 2017
First page
166
Last page
175
Publisher
IOSPress
Date of publication
2017
ISBN
978-1-61499-805-1 Open in new window
DOI
10.3233/978-1-61499-806-8-166
Repository
http://hdl.handle.net/2117/132881 Open in new window
URL
https://www.iospress.nl/book/recent-advances-in-artificial-intelligence-research-and-development-2/ Open in new window
Abstract
Recommender Systems have become a fundamental part of various applications supporting users when searching for items they could be interested in,at a given moment. However, the majority of Recommender Systems generate isolate item recommendations based mainly on user-item interactions, without taking into account other important information about the recommendation moment, able to deliver users a more complete experience. In this paper, a hybrid Cas...
Citation
Gkatzioura, A.; Sànchez-Marrè, M. Using contextual information in music playlist recommendations. A: "Recent advances in artificial intelligence research and development. Proceedings of the 20th International Conference of the Catalan Association for Artificial Intelligence, Deltebre, Terres de l’Ebre, Spain, October 25–27, 2017". Amsterdam: IOSPress, 2017, p. 239-244.
Keywords
Case-Based Reasoning, Diet Recommender, Distance, Retrieve
Group of research
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
KEMLG - Knowledge Engineering and Machine Learning Group

Participants

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