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http://dx.doi.org/10.5762/KAIS.2020.21.5.543

Customized Recipe Recommendation System Implemented in the form of a Chatbot  

Ahn, Ye-Jin (Division of Computer & Information Engineering, Daegu University)
Cho, Ha-Young (Division of Computer & Information Engineering, Daegu University)
Kang, Shin-Jae (Division of Computer & Information Engineering, Daegu University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.21, no.5, 2020 , pp. 543-550 More about this Journal
Abstract
Interest in food recipe retrieval systems has been increasing recently. Most computer-based recipe retrieval systems are searched by cooking name or ingredient name. Since each recipe provides information in different weighing units, recalculations to the desired amount are necessary and inconvenient. This paper introduces a computer system that addresses these inconveniences. The system is a chatbot system, based on web-based recipe recommendations, for users familiar with the use of messenger conversation systems. After selecting the most popular recipes by their names, and pre-processing to extract only information required for the recipes, the system recommends recipes based on the 100,000 data. Recipes are then searched by the names of food ingredients (included and excluded). Recalculations are performed based on the number of servings entered by the user. A satisfaction rate for the systems' recommendations was 90.5%.
Keywords
Recipe Recommendation; Chatbot; One-Hot Vector; Cosine Similarity; Web Crawling;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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