Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
DEXA'10 Proceedings of the 21st international conference on Database and expert systems applications: Part II
Recipe recommendation using ingredient networks
Proceedings of the 3rd Annual ACM Web Science Conference
Intelligent menu planning: recommending set of recipes by ingredients
Proceedings of the ACM multimedia 2012 workshop on Multimedia for cooking and eating activities
Biologeek, an intelligent system for service mashups tuned for recipe processing and rendering
Proceedings of the ACM multimedia 2012 workshop on Multimedia for cooking and eating activities
Real-time mobile recipe recommendation system using food ingredient recognition
Proceedings of the 2nd ACM international workshop on Interactive multimedia on mobile and portable devices
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The number of cooking recipe texts published on the Web is increasing in recent years. However, in general, cooking recipe texts have little flexibility. So, it is not always easy to retrieve cooking recipe texts that satisfy users' various demands. Therefore, it is necessary to create and offer recipes that suit the user's requirements. In this paper, we propose a method for finding replaceable materials considering characteristic cooking actions from a large amount of cooking recipe texts. The proposed method finds the replaceable materials by first extracting the cooking actions that correspond to each material than measuring the similarity of the extracted cooking actions. Through an evaluation of recipe texts created by replacing some materials that were found by the proposed method, we verified the effectiveness of the proposed method.