Culinary Recipe Recommendation based on Text Analytics
DOI:
https://doi.org/10.14419/ijet.v7i4.4.19591Keywords:
Text mining, Recommender system, Food recipeAbstract
Many researchers and practitioners have studied the recipe recommendation, and that problem is not only to find the tasty dishes based on the individual’s preference, but also to generate new ones. In the digital age, understanding and utilizing text data is one of the most important part in the knowledge discovery. In this paper, we proposed how to use text analysis in the recipe recommendation problem and provided the insights to design new recipes.
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References
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[2] F. Shan and F. Pereira, Shallow Parsing with Conditional Random Fields, Proceedings of NAACL, 2013.
[3] C. Y. Teng, Y. R. Lin, and L. A. Adamic, Recipe recommendation using ingredient networks, Proceedings of the 4th ACM Web Science Conference, 2012.
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How to Cite
Received date: September 12, 2018
Accepted date: September 12, 2018
Published date: September 15, 2018