Analysis of Chinese Dietary Habits from the Top Food Websites by Using CBFA

DOI

No DOI

Published In

Volume 3, Issue 3 (2022)

Published Online

May-June 2022

Pages

129-132

Article Type

Research Article

Check for updates

No DOI available for cross-reference

Abstract: In this paper, we proposed Chinese dietary habits by taking the information from the food website. Nowadays people are uploading all their cooking recipes on websites, so it will be easy to analyze their food habits by categorizing them. China has almost 32 regions and we gathered 14,000 different recipes. Here we divided the complete process into six steps which includes ingredient diversity, ingredient manifest, based on cooking complexity, equivalent of dishes, and also dietary therapy. The recipes depended on their location, so to understand clearly about Chinese habitual processes we are using the Apriori algorithm. This algorithm will find the set of frequent items. In the final step, we are developed a content-based online recipe recommendation engine to get some different suggestions