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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