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dc.contributor.advisorAamodt, Agnar
dc.contributor.advisorBach, Kerstin
dc.contributor.authorSkjold, Kari
dc.contributor.authorØynes, Marthe Sofie
dc.date.accessioned2017-09-05T14:00:34Z
dc.date.available2017-09-05T14:00:34Z
dc.date.created2017-06-01
dc.date.issued2017
dc.identifierntnudaim:15820
dc.identifier.urihttp://hdl.handle.net/11250/2453250
dc.description.abstractA domain where humans have unfolded their creativity for thousands of years is cooking. However, can a human's creativity within cooking be transferred to a computer program? The case-based reasoning (CBR) methodology allows to incorporate creativity when using earlier experiences to solve new problems. The main objective of our research is to design and construct a CBR based recipe recommender system that enhances creativity to adapt recipes based on a given user query. We have reviewed related work performed in the field of recipe recommendation and identified typical approaches and features within those. Further, we developed a knowledge engineering heavy system that retrieve, compare, adapt, and suggest recipes given a user query containing desired and undesired ingredients. The system was tested with controlled observations, questionnaires, and an online quiz. Evaluation results show that the system appears user-friendly, self-explanatory, and with meaningful recipe recommendations. The resulting system is able to adapt recipes in a way that humans find it challenging to distinguish them from human created recipes.
dc.languageeng
dc.publisherNTNU
dc.subjectInformatikk, Kunstig intelligens
dc.subjectInformatikk, Databaser og søk
dc.titleCase-Based Reasoning and Computational Creativity in a Recipe Recommender System
dc.typeMaster thesis


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