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Culinary recipe recommendation based on text analytics

Authors
Hong, JiheonLee, Hee jung
Issue Date
Dec-2017
Publisher
Science Publishing Corporation Inc
Keywords
Food recipe; Recommender system; Text mining
Citation
International Journal of Engineering and Technology(UAE), v.7, no.4, pp 5 - 6
Pages
2
Indexed
SCOPUS
Journal Title
International Journal of Engineering and Technology(UAE)
Volume
7
Number
4
Start Page
5
End Page
6
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/150855
DOI
10.14419/ijet.v7i4.4.19591
ISSN
2227-524X
2227-524X
Abstract
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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서울 산업융합학부 > 서울 산업융합학부 > 1. Journal Articles

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