Volume 4 Number 1 (Feb. 2014)
Home > Archive > 2014 > Volume 4 Number 1 (Feb. 2014) >
IJEEEE 2014 Vol.4(1): 63-66 ISSN: 2010-3654
DOI: 10.7763/IJEEEE.2014.V4.303

A Next-Generation Recipe Recommendation System for Health and Environment

Ryo Mikami, Hiromi Nakano, Kiyoshi Dowaki, and Hayato Ohwada
Abstract— In recent years, recipe search sites have proliferated with the spread of the Internet and the smartphone. Many recipes are available on the Web. In addition, today’s Japan is experiencing problems such as aging and the increase in persons suffering from lifestyle-related disease due to westernization of their eating habits. It is often necessary for them to manage their eating habits. For home-bound aging and living alone, having to think about a menu every day is a major burden. At the same time, as the carbon dioxide emission of the whole world increases year by year, significant action on carbon dioxide reduction is underway in Japan. For example, there is a Carbon Foot Print (CFP) on which the Ministry of Agriculture, Forestry and Fisheries works. This study seeks to support menu management and the construction of a system which is conscious of the carbon dioxide emission associated with a given meal. It uses recipes on the Web and prepares a recommended menu. We propose a system that displays the carbon dioxide emission of each menu. Finally, we had subjects use this system and determined the effectiveness of this study by performing a user evaluation.

Index Terms— Menu recommendation system, recipe search sites, Carbon Foot Print, carbon dioxide emission.

Ryo Mikami, Hiromi Nakano, Kiyoshi Dowaki, and Hayato Ohwada are with the Department of Industrial Administration, Faculty of Science and Technology, Tokyo University of Science, Japan (e-mail: j7413613@ed.tus.ac.jp, {dowaki, ohwada }@rs.tus.ac.jp).

Cite: Ryo Mikami, Hiromi Nakano, Kiyoshi Dowaki, and Hayato Ohwada, " A Next-Generation Recipe Recommendation System for Health and Environment," International Journal of e-Education, e-Business, e-Management and e-Learning vol. 4, no. 1, pp. 63-66, 2014.

General Information

ISSN: 2010-3654 (Online)
Frequency: Quarterly (Since 2015)
Editor-in-Chief: Prof. Kuan-Chou Chen
Executive Editor: Ms. Nancy Lau
Abstracting/ Indexing: EBSCO, Google Scholar, Electronic Journals Library, QUALIS, ProQuest, EI (INSPEC, IET)
E-mail: ijeeee@iap.org
  • May 14, 2019 News!

    Vol.7, No.4-Vol.8, No.2 have been indexed by EI (Inspec).   [Click]

  • May 09, 2019 News!

    IJEEEE Vol. 9, No. 2 is available online!    [Click]

  • Oct 08, 2018 News!

    The papers published in Vol.9, No.1 have all received dois from Crossref.

  • Aug 06, 2018 News!

    Vol.7, No.1-No.3 have been indexed by EI (Inspec).   [Click]

  • Aug 06, 2018 News!

    Vol.6, No.4 has been indexed by EI (Inspec).   [Click]

  • Read more>>