Presentation | 2014-09-11 Clustering for Similar Recipes by using cooking ingredient Shunsuke HANAI, Akiyo NADAMOTO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Rapid progress of the user-generated recipe site, there are so many recipe pages in the site. When we search recipe page by using cooking ingredient name, there are a lot of similar recipe as results pages. These similar recipe pages obstructs the users' search. In this paper, we propose the extracting similar recipe based on the clustering by recipe title, cooking method, cooking ingredient, and seasoner. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Cooking Recipe / Similar Recipe / Information Extraction / Nonhierarchical Clustering |
Paper # | DE2014-31 |
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Committee | DE |
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Conference Date | 2014/9/3(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Data Engineering (DE) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Clustering for Similar Recipes by using cooking ingredient |
Sub Title (in English) | |
Keyword(1) | Cooking Recipe |
Keyword(2) | Similar Recipe |
Keyword(3) | Information Extraction |
Keyword(4) | Nonhierarchical Clustering |
1st Author's Name | Shunsuke HANAI |
1st Author's Affiliation | Graduate School of Natural Science Graduate Course, Konan University() |
2nd Author's Name | Akiyo NADAMOTO |
2nd Author's Affiliation | Dept. of Intelligene and Informatics, Konan University |
Date | 2014-09-11 |
Paper # | DE2014-31 |
Volume (vol) | vol.114 |
Number (no) | 204 |
Page | pp.pp.- |
#Pages | 6 |
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