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International Symposium on Emerging Technologies for Education

SETE 2016: Emerging Technologies for Education pp 315–325Cite as

A Study of Tag-Based Recipe Recommendations for Users in Different Age Groups

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10108))

Abstract

Social tagging becomes prevailing with the emergence of Web 2.0 communities recently. By utilizing this additional valuable information from user-created tags, it is convenient to understand users’ interests and behavior so that we can provide good user experience in applications of various domains. Therefore, the definition of profile is crucial for tagging systems. Furthermore, it is important to have recommendations for various groups of users. In recipe recommendations, older people typically have different needs compared with young users. In this paper, we first focus on the definitions of user profile, item feature and how to derive semantics from these sources. Afterwards, we design the framework of the tag-based multimedia recipe recommendation system (MRRS). Finally, we conduct preliminary experimental study of recipe recommendations for different age groups. The result shows that older people concern more about the nutrition aspects of recipes.

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Notes

  1. 1.

    http://delicious.com/.

  2. 2.

    http://www.flickr.com/.

  3. 3.

    http://www.last.fm/.

  4. 4.

    http://www.movielens.org/.

  5. 5.

    http://tartarus.org/martin/PorterStemmer/.

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Acknowledgement

This paper is supported by the MOA International Cooperation Project “The Comparative Study of Agricultural Information between BRICS” funded by Ministry of Agriculture of China, the MOA Innovative Talents Project “Key Techniques of Main Agricultural Products Market Monitoring And Early Warning” funded by Ministry of Agriculture of China, the CAAS Science and Technology Innovation Project “Innovation Team on Agricultural Production Management Digitization Technology” (CAAS-ASTIP-2015-AII-02) funded by Chinese Academy of Agricultural Sciences, and sub-project “Agricultural Data Collection Methods and Technology Analysis” of project of Ministry of Agricultural of China “Monitoring and Statistics Fund for Agriculture and Rural Resources”.

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Authors and Affiliations

  1. Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing, China

    Wei Chen & Zhemin Li

  2. Key Laboratory of Agri-Information Service Technology, Ministry of Agriculture, Beijing, China

    Wei Chen & Zhemin Li

Authors
  1. Wei Chen
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  2. Zhemin Li
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Corresponding author

Correspondence to Zhemin Li .

Editor information

Editors and Affiliations

  1. National Yunlin University of Science and Technology, Yunlin, Taiwan

    Ting-Ting Wu

  2. Free University of Bozen-Bolzano, Rome, Italy

    Rosella Gennari

  3. National Cheng-Kung University, Tainan, Taiwan

    Yueh-Min Huang

  4. The Education University of Hong Kong, Hong Kong, Hong Kong

    Haoran Xie

  5. MC Information Multimedia Communication AG, Saarbrücken, Germany

    Yiwei Cao

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Chen, W., Li, Z. (2017). A Study of Tag-Based Recipe Recommendations for Users in Different Age Groups. In: Wu, TT., Gennari, R., Huang, YM., Xie, H., Cao, Y. (eds) Emerging Technologies for Education. SETE 2016. Lecture Notes in Computer Science(), vol 10108. Springer, Cham. https://doi.org/10.1007/978-3-319-52836-6_33

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  • DOI: https://doi.org/10.1007/978-3-319-52836-6_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-52835-9

  • Online ISBN: 978-3-319-52836-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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