Presentation | 2013-09-12 Recipe Ingredients Recommendation using Additional Recommendation Algorithm based on Basket Analysis Tsubasa MAYUMIDA, Mutsuo SANO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We propose an algorithm of recipe ingredients recommendation using Basket analysis based on Apriori algorithm as a general-purpose method that can recommend new additional ingredients. First, the proposed method gives category sets a rank based on historical database and extracts basic category sets. Next it calculates certification degree from the basic category sets and frequent category sets, and determines the additional elements. The effectiveness of proposed approach was verified by recommendation experiments about additional ingredients in daily life. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Recipe Recommendation / Food Log / Association Rule |
Paper # | DE2013-34 |
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Committee | DE |
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Conference Date | 2013/9/5(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) | Recipe Ingredients Recommendation using Additional Recommendation Algorithm based on Basket Analysis |
Sub Title (in English) | |
Keyword(1) | Recipe Recommendation |
Keyword(2) | Food Log |
Keyword(3) | Association Rule |
1st Author's Name | Tsubasa MAYUMIDA |
1st Author's Affiliation | Graduate School of Information Science and Technology Osaka Institute of Technology() |
2nd Author's Name | Mutsuo SANO |
2nd Author's Affiliation | Faculty of Information Scienceand Technology, Osaka Institute of Technology |
Date | 2013-09-12 |
Paper # | DE2013-34 |
Volume (vol) | vol.113 |
Number (no) | 214 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |