Mayumi Ueda
ABSTRACT
Homemaker decide what to cook based on the mood they are in, the ingredients they have in their refrigerators, or the ingredients offered in a supermarket. Most of the existing services for searching recipes allow ingredient names or recipe names as search input. We propose a system that allows searching recipes based on the users' mood. To develop the system, we gather words to express a user's mood when making a menu decision and classify them according to their relationship. We determine six aspects of a user's mood. The result of our preliminary experiment and a questionnaire-based survey show that our method describes a user's mood when deciding for a menu and that the system helps in the decision-making. Furthermore, we propose a method for automatically generating recipe metadata, which we plan to add to our system.
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- N. Takata, M. Ueda, Y. Morishita, and S. Nakajima, "Automatic recipe metadata generating method by considering users' various moods", International MultiConference of Engineers and Computer Scientists 2016, pp413--418, 2016.3.Google Scholar
Index Terms
- A recipe recommendation system that considers user's mood
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