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Recipe-Transition Graph Based on Asymmetric Entropy Difference

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Information Science and Applications (ICISA) 2016

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 376))

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Abstract

There are many recipes that are regularly shared on the Internet, and they comprise features such as ingredients, cooking procedures, and cooking time. However, it is sometimes difficult to understand the recipes exactly because they are not always written quantitatively and objectively. In order to preserve the accuracy of the recipes, an objective approach is required. In this paper, we define the quantitative characteristics of recipes and determine the relation between them. We use the ingredients of recipes to define their characteristics. We define each of the ingredients based on the statistical entropy measure. In addition, we develop a recipe-transition graph, and we define the asymmetric entropy difference by considering the difference in the ingredients of two recipes as the transition effort. We then show the utilization of this recipe-transition graph. The experimental results show that the most transitive recipes and the recipe transition path can be found with the recipe-transition graph.

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References

  1. Ahnert, S.E.: Generalized power graph compression reveals dominant relationship patterns in complex networks. Scientific Reports 4(4385). Nature Publishing Group (2014)

    Google Scholar 

  2. Geleijnse, G., Nachtigall, P., Kaam, P.V., Wijgergangs, L.: A personalized recipe advice system to promote healthful choices. In: Proc. of 16th Intelligent User Interfaces, pp. 437–438. ACM, New York (2011)

    Google Scholar 

  3. Freyne, J., Berkovsky, S.: Intelligent food planning: personalized recipe recommendation. In: Proc. of Intelligent User Interfaces, pp. 221–324 (2010)

    Google Scholar 

  4. Kuo, F., Li, C., Shan, M., Lee, S.: Intelligent menu planning: recommending set of recipes by ingredients. In: Proc. of the ACM Multimedia Workshop on Multimedia for Cooking and Eating Activities, pp. 1–6 (2012)

    Google Scholar 

  5. Teng, C., Lin, Y., Adamic, L.: Recipe recommendation using ingredient networks. In: Proc. of 4th Annual ACM Web Science Conference, pp. 298–307. ACM, New York (2012)

    Google Scholar 

  6. Wang, L., Li, Q., Li, N., Dong, G., Yang, Y.: Substructure similarity measurement in Chinese recipes. In: Proc. of World Wide Web, pp. 979–988 (2008)

    Google Scholar 

  7. Ahn, Y.Y., Ahnert, S.E., Bagrow, J.P., Barabasi, A.-L.: Flavor network and the principles of food pairing. Nature Scientific Reports (2011)

    Google Scholar 

  8. Ueda, M., Asanuma, S., Miyawaki, Y., Nakajima, S.: Recipe recommendation method by considering the user’s preference and ingredient quantity of target recipe. In: Proc. of the International Multi-Conference of Engineers and Computer Scientists, vol. 1, pp. 12–14 (2014)

    Google Scholar 

  9. Kim, S., Lee, Y., Kang, S.H., Cho, H., Yoon, S.: Constructing Cookery Network based on Ingredient Entropy Measure. Indian Journal of Science and Technology 8(23), 1–9 (2015)

    Article  Google Scholar 

  10. Shidochi, Y., Takahashi, T., Ide, I.: Finding replaceable materials in cooking recipe texts considering characteristic cooking actions. In: Proc. of 9th ACM Multimedia Workshop on Multimedia for Cooking and Eating Activities, pp. 9–14. ACM, New York (2009)

    Google Scholar 

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Correspondence to Hwan-Gue Cho .

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© 2016 Springer Science+Business Media Singapore

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Park, J., Kim, SD., Lee, YJ., Cho, HG. (2016). Recipe-Transition Graph Based on Asymmetric Entropy Difference. In: Kim, K., Joukov, N. (eds) Information Science and Applications (ICISA) 2016. Lecture Notes in Electrical Engineering, vol 376. Springer, Singapore. https://doi.org/10.1007/978-981-10-0557-2_17

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  • DOI: https://doi.org/10.1007/978-981-10-0557-2_17

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0556-5

  • Online ISBN: 978-981-10-0557-2

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