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Comparative Analysis of Sizzle Words on the Internet

Published: 04 December 2014 Publication History

Abstract

People post their impressions of foods on Twitter in real time after eating. On many user-generated recipe sites on the Internet, ordinary cooks such as homemakers can post their original recipes. They make full use of the recipe titles that incorporate tasty words such as authentic, homey, and spicy because they want to their recipe to become popular. Web sites of companies and restaurants use tasty words such as 'healthy' and 'old-fashioned' to sell their products. In this way, tasty words of many kinds have come to be used on the Internet. We consider that tasty words differ among those used on Internet media which are Twitter, user-generated recipe sites, and ordinary web sites. As described herein, we designate such tasty words as 'Sizzle Words' and then compare these three media using the Sizzle Words.

References

[1]
L. Hella and J. Krogstie. Personalisation by semantic web technology in food shopping. In Proceedings of the International Conference on Web Intelligence, Mining and Semantics, WIMS ′11, pages 34:1--34:12. ACM, 2011.
[2]
L. Kanwipa, C. Watanabe, and S. Nakamura. Onomatoperori: Recipe recommendation system using onomatopoeic words. IPSJ. DD, 2009(6):1--7, 2011.
[3]
A. Kato, Y. Fukazawa, T. Sato, and T. Mori. Extraction of onomatopoeia used for foods from food reviews and its application to restaurant search. In Proceedings of the 21st International Conference Companion on World Wide Web, WWW ′12 Companion, pages 719--728. ACM, 2012.
[4]
K. Kitamura, T. Yamasaki, and K. Aizawa. Foodlog: Capture, analysis and retrieval of personal food images via web. In Proceedings of the ACM Multimedia 2009 Workshop on Multimedia for Cooking and Eating Activities, CEA ′09, pages 23--30. ACM, 2009.
[5]
Q. Li, W. Chen, and L. Yu. Community-based recipe recommendation and adaptation in peer-to-peer networks. In Proceedings of the 4th International Conference on Uniquitous Information Management and Communication, ICUIMC ′10, pages 18:1--18:6. ACM, 2010.
[6]
M. Ohashi, A. Muto, M. Yamamoto, M. Tamekuni, A. Kumida, F. Sibusawa, and Y. Ogawa. A sense and word of "Delicious" and a generation of food texture. BMTF publisher, 2010.
[7]
Y. van Pinxteren, G. Geleijnse, and P. Kamsteeg. Deriving a recipe similarity measure for recommending healthful meals. In Proceedings of the 16th International Conference on Intelligent User Interfaces, IUI ′11. ACM, 2011.
[8]
L. Wang, Q. Li, N. Li, G. Dong, and Y. Yang. Substructure similarity measurement in chinese recipes. In Proceedings of the 17th International Conference on World Wide Web, WWW ′08, pages 979--988. ACM, 2008.

Cited By

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  • (2018)Knack for Cooking Extraction from User Generated Recipe SitesProceedings of the 20th International Conference on Information Integration and Web-based Applications & Services10.1145/3282373.3282404(134-137)Online publication date: 19-Nov-2018
  • (2015)Sizzle Word Analysis from Multiple Internet MediaProceedings of the 2015 18th International Conference on Network-Based Information Systems10.1109/NBiS.2015.68(444-451)Online publication date: 2-Sep-2015

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cover image ACM Other conferences
iiWAS '14: Proceedings of the 16th International Conference on Information Integration and Web-based Applications & Services
December 2014
587 pages
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

  • @WAS: International Organization of Information Integration and Web-based Applications and Services
  • Johannes Kepler Univ Linz: Johannes Kepler Universität Linz

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 December 2014

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Author Tags

  1. Sizzle word
  2. Twitter
  3. User-generated recipe site
  4. Web

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Cited By

View all
  • (2018)Knack for Cooking Extraction from User Generated Recipe SitesProceedings of the 20th International Conference on Information Integration and Web-based Applications & Services10.1145/3282373.3282404(134-137)Online publication date: 19-Nov-2018
  • (2015)Sizzle Word Analysis from Multiple Internet MediaProceedings of the 2015 18th International Conference on Network-Based Information Systems10.1109/NBiS.2015.68(444-451)Online publication date: 2-Sep-2015

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