ColibriCook: A CBR System for Ontology-Based Recipe Retrieval and Adaptation

In this paper we present ColibriCook: a CBR system for ontology-based cooking recipe retrieval and adaptation. The system's purpose is to participate in the 1st Computer Cooking Contest, organized by the European Conference on Case-Based Reasoning (ECCBR'08), at the University of Trier, Germany. CBR is based on a best-adaptation likeness paradigm between ingredient sets, with a domain ontology providing one-on-one fuzzy ingredient similarity. A number of other machine learning techniques are used to calculate, propagate, compare and adapt other recipe properties.

• Type: Conference
• Year: 2008
• Where: EWCBR
• Authors: Juan DeMiguel, Laura Plaza, Belén Díaz-Agudo
• Keywords: Automated Reasoning, Computer Cooking Contest, Cooking Recipe Retrieval, EWCBR 2008, Fuzzy Ingredient Similarity