Presentation 2014-03-06
A Study on the Estimation of Tastes of Cooking Recipes Based on Training Using Comments on Cooking Recipes as Supervisory Signals
Hiroki MATSUNAGA, Keisuke DOMAN, Ichiro IDE, Daisuke DEGUCHI, Hiroshi MURASE,
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Abstract(in English) Recently, user-posted cooking recipe sites such as "Rakuten recipe" has become popular, and there is a large number of recipes on the Web. It is difficult to search a recipe that matches the purpose of users, so recipe recommendation according to the user's preference or cooking skill is studied. However, they do not consider the taste that is an important aspect of food. Meanwhile, with the progress of sensor technology, we can measure the taste of food, but it is not ready for daily use, yet. In this report, we describe a method for estimating tastes of cooking recipes based on training using comments on cooking recipes as supervisory signals.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Cooking recipe / estimation of tastes
Paper # IMQ2013-37,IE2013-146,MVE2013-75
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Conference Information
Committee MVE
Conference Date 2014/2/27(1days)
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Paper Information
Registration To Media Experience and Virtual Environment (MVE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on the Estimation of Tastes of Cooking Recipes Based on Training Using Comments on Cooking Recipes as Supervisory Signals
Sub Title (in English)
Keyword(1) Cooking recipe
Keyword(2) estimation of tastes
1st Author's Name Hiroki MATSUNAGA
1st Author's Affiliation Graduate School of Information Science, Nagoya University()
2nd Author's Name Keisuke DOMAN
2nd Author's Affiliation School of Engineering & Technology, Chukyo University:Graduate School of Information Science, Nagoya University
3rd Author's Name Ichiro IDE
3rd Author's Affiliation Graduate School of Information Science, Nagoya University
4th Author's Name Daisuke DEGUCHI
4th Author's Affiliation Information and Communications Headquarters, Nagoya University:Graduate School of Information Science, Nagoya University
5th Author's Name Hiroshi MURASE
5th Author's Affiliation Graduate School of Information Science, Nagoya University
Date 2014-03-06
Paper # IMQ2013-37,IE2013-146,MVE2013-75
Volume (vol) vol.113
Number (no) 470
Page pp.pp.-
#Pages 2
Date of Issue