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Book Sections Year : 2014

Taaable: a Case-Based System for personalized Cooking

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Valmi Dufour-Lussier
  • Function : Author
  • PersonId : 874752
Jean Lieber
Emmanuel Nauer
Fadi Badra
Emmanuelle Gaillard
  • Function : Author
  • PersonId : 918004
Laura Infante-Blanco
Pascal Molli
Amedeo Napoli

Abstract

TAAABLE is a Case-Based Reasoning (CBR) system that uses a recipe book as a case base to answer cooking queries. TAAABLE participates in the Computer Cooking Contest since 2008. Its success is due, in particular, to a smart combination of various methods and techniques from knowledge-based systems: CBR, knowledge representation, knowledge acquisition and discovery, knowledge management, and natural language processing. In this chapter, we describe TAAABLE and its modules. We first present the CBR engine and features such as the retrieval process based on minimal generalization of a query and the different adaptation processes available. Next, we focus on the knowledge containers used by the system. We report on our experiences in building and managing these containers. The TAAABLE system has been operational for several years and is constantly evolving. To conclude, we discuss the future developments: the lessons that we learned and the possible extensions.
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Dates and versions

hal-00912767 , version 1 (02-12-2013)

Identifiers

Cite

Amélie Cordier, Valmi Dufour-Lussier, Jean Lieber, Emmanuel Nauer, Fadi Badra, et al.. Taaable: a Case-Based System for personalized Cooking. Montani, Stefania and Jain, Lakhmi C. Successful Case-based Reasoning Applications-2, 494, Springer, pp.121-162, 2014, Studies in Computational Intelligence, 978-3-642-38735-7. ⟨10.1007/978-3-642-38736-4_7⟩. ⟨hal-00912767⟩
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