Abstract
Abstract: Having an accurate nutrition profile for recipes is crucial for various applications, such as dietary analytics, recommendation systems, and nutritional assistance. However, online databases often collect recipes from various sources to increase the variety and quantity of the dataset. As a result, the nutritional information provided may be incomplete and unreliable. This paper proposes a scalable method to estimate the nutritional profile of recipes using a reliable and standard nutritional database. Previous studies have shown the effectiveness of string-matching methods on small datasets, and this proposed method is applied to a large dataset called Recipe DB, which contains recipes from multiple sources. The United States Department of Agriculture Standard Reference (USDA-SR) database is used as a reference to compute the nutritional profiles. The efficiency of the proposed method is evaluated by calculating the average error across the recipe database, which is 36 calories per serving, and falls within the range of errors attributable to physical variations. The study employs Named Entity Recognition, Nutrition Composition Tables, and the USDA SR for nutrition analysis.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal for Research in Applied Science and Engineering Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
