224 Computer Cooking Contest Workshop at the Twenty-Fifth International Conference on Case-Based Reasoning (ICCBR 2017) Trondheim, Norway June 2017 Nadia A Najjar and David C Wilson (Editors) 225 Chairs Nadia A Najjar University of North Carolina at Charlotte (UNCC), USA David C Wilson University of North Carolina at Charlotte (UNCC), USA Program Committee David Aha Naval Research Laboratory, USA Klaus-Dieter Althoff DFKI / University of Hildesheim, Germany Ralph Bergmann University of Trier, Germany) Isabelle Bichindaritz State University of New York at Oswego, USA Kazjon Grace University of North Carolina at Charlotte, USA Ichiro Ide Nagoya University, Japan David Leake Indiana University, USA 226 Preface The Computer Cooking Contest aims to attract people working with AI tech- nologies such as case-based reasoning, semantic technologies, search, and infor- mation extraction. Also, cooking is fun, particularly when using a computer to design the menu. Since everybody knows something about cooking, people will be curious about how well a computer can cook. Finally, we have all noticed the public’s increasing interest in cooking, motivated by the growing awareness that good food is mandatory for good health. Hence, the Computer Cooking Contest provides an opportunity for researchers to explain the benefits of their technologies to everyone. The Computer Cooking Contest (CCC) is an open competition. All individuals (e.g., students, professionals), research groups, and others are invited to submit software that creates recipes. The primary knowledge source is a database of basic recipes from which appropriate recipes can be selected, modified, or even combined. The queries to the system will include the desired and undesired in- gredients. For most of the queries there is no single correct or best answer. That is, many different solutions are possible, depending on the creativity of the soft- ware. There is no restriction on the technology that may be used; all are welcome. This year competition offers four challenges: – the salad challenge on suggesting salad recipes with a limited set of ingredi- ents and managing the ingredient quantities – the easy steps challenge on adapting recipes with no restriction on ingredi- ents, but managing the steps – the mixology challenge on adapting the ingredients of a cocktail recipes with a limited set of ingredients – and the open challenge on novel ideas and positions on computer cooking The competition received seven submissions from which six papers were se- lected as finalists. We are happy to present the contributions of the teams that have been accepted to the Computer Cooking Contest 2017. In ”Cooking made easy: On a novel approach to complexity-aware recipe generation” Gilbert Mller and Ralph Bergmann address the easy steps challenge. The approach defines a new complexity-based criterion to be used to guide CookingCAKE’s retrieval and adaptation processes that can be tuned as desired against level of query match. The Taaable team composed of Emmanuelle Gaillard, Jean Lieber and Em- manuel Nauer address the mixology, salad and open challenges in their paper ”Adaptation of Taaable to the CCC’2017 Mixology and Salad Challenges, adap- tation of the cocktail names”. In this adaptation the Taaable as well as the in- tegrated Tuuurbine CBR system uses RDFS for storing domain specific knowl- edge, which allows comprehensive reasoning strategies. They present a set of approaches to address the different challenges. The first is an approach to adap- tation that is used to address constraints arising from a limited set of available 227 ingredients, as well as ingredient quantities, which is applied for the salad and mixology challenges. The second is an approach to name adaptation for cocktail recipes that is applied to the open challenge. Johnathan Pagnutti and Jim Whitehead contribution, Cooking On The Mar- gins: Probabilistic Soft Logics for Recommending and Adapting Recipes, de- scribes an approach to recipe recommendation and adaptation based on Proba- bilistic Soft Logics (PSL) that targets the mixology and open challenges for the Computer Cooking Contest. Kari Skjold, Marthe Oynes, Kerstin Bach and Agnar Aamodt introduce an interactive system in their paper titled ”IntelliMeal - Enhancing Creativity by Reusing Domain Knowledge in the Adaptation Process” that targets the open challenge. Their system allows a user to declare desired and undesired ingredients and retrieve relevant recipes from the database. However, it does not stop there. It also generates recipes modified according to the user’s declaration. These adapted versions are mixed with the original recipes, filtered, and then presented to the user for manual judgment. It will then be added to the original recipe database if the user judges as appropriate. In ”A Proposed General Formula to Create and Analyze Baking Recipes” Michael Ohene presents a mathematical formula for baking recipes that is, as he argues, capable of identifying unacceptable recipes. The results also pro- duced logical mathematical groupings of baked good recipes. Through the Ran- dom Recipe Generator, the author states that it is possible to generate different recipes from characteristic values via ingredient constants. Christian Zeyen, Gilbert Mller and Ralph Bergmann propose a recipe re- trieval method based on Q&A conversations with a user in their paper titled ” Conversational Retrieval of Cooking Recipes”. The system issues questions to a user based on the workflow derived from the analysis of a recipe. Abstraction of ingredients and operations is performed so that the system can start from asking relatively abstract questions, and then formulating the user’s preference (desired and undesired) by traversing up and down the abstractness structure. The 10th Computer Cooking Contest will be held in conjunction with the 2017 International Conference on Case-Based Reasoning in Trondheim, Norway. A web site with detailed information on the competition and challenges is online at: http://computercookingcontest.com. Trondheim, Norway Nadia A Najjar June 2017 David C Wilson