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2016 | OriginalPaper | Chapter

Continuous Recipe Selection Model Based on Cooking History

Authors : Shuhei Yamamoto, Noriko Kando, Tetsuji Satoh

Published in: Social Informatics

Publisher: Springer International Publishing

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Abstract

Thousands of different recipes are posted on recipe sites by consumers who often refer to them when they cook. Such users occasionally select new recipes. In this paper, we propose for users a recipe selection model composed of both preference and challenging viewpoints to appropriately predict recipes that users are more likely to cook next in continuous cooking behaviors. The occurrence probability of the challenging behaviors of each user is estimated from past cooking sequences, and recipe scores are calculated by incorporating preference and challenging viewpoints. Our experimental evaluations using actual cooking histories demonstrate the high prediction performance of our method. We clarified the estimation efficiency of users who tackle challenging recipes.

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Footnotes
3
The number of users whose the number of Tsukurepos was within 500 to 1,000, was 1,234.
 
4
Another part-of-speech and morphological analyze is, http://​mecab.​sourceforge.​net/​.
 
Literature
1.
go back to reference Freyne, J., Berkovsky, S.: Recommending food: reasoning on recipes and ingredients. In: Bra, P., Kobsa, A., Chin, D. (eds.) UMAP 2010. LNCS, vol. 6075, pp. 381–386. Springer, Heidelberg (2010)CrossRef Freyne, J., Berkovsky, S.: Recommending food: reasoning on recipes and ingredients. In: Bra, P., Kobsa, A., Chin, D. (eds.) UMAP 2010. LNCS, vol. 6075, pp. 381–386. Springer, Heidelberg (2010)CrossRef
2.
go back to reference Ge, M., Ricci, F., Massimo, D.: Health-aware food recommender system. In: Proceedings of the 9th ACM Conference on Recommender Systems, RecSys 2015, pp. 333–334 (2015) Ge, M., Ricci, F., Massimo, D.: Health-aware food recommender system. In: Proceedings of the 9th ACM Conference on Recommender Systems, RecSys 2015, pp. 333–334 (2015)
3.
go back to reference Hamada, R., Ide, I., Sakai, S., Tanaka, H.: Structural analysis of cooking preparation steps in Japanese. In: Proceedings of the IRAL 2000, New York, NY, USA, pp. 157–164 (2000) Hamada, R., Ide, I., Sakai, S., Tanaka, H.: Structural analysis of cooking preparation steps in Japanese. In: Proceedings of the IRAL 2000, New York, NY, USA, pp. 157–164 (2000)
4.
go back to reference Harvey, M., Ludwig, B., Elsweiler, D.: Learning user tastes: a first step to generating healthy meal plans. In: First International Workshop on Recommendation Technologies for Lifestyle Change (LIFESTYLE 2012), pp. 18–23 (2012) Harvey, M., Ludwig, B., Elsweiler, D.: Learning user tastes: a first step to generating healthy meal plans. In: First International Workshop on Recommendation Technologies for Lifestyle Change (LIFESTYLE 2012), pp. 18–23 (2012)
5.
go back to reference Kadowaki, T., Yamakata, Y., Tanaka, K.: Situation-based food recommendation for yielding good results. In: 2015 IEEE International Conference on Multimedia Expo Workshops, pp. 1–6, June 2015 Kadowaki, T., Yamakata, Y., Tanaka, K.: Situation-based food recommendation for yielding good results. In: 2015 IEEE International Conference on Multimedia Expo Workshops, pp. 1–6, June 2015
6.
go back to reference Karikome, S., Fujii, A.: A system for supporting dietary habits: planning menus and visualizing nutritional intake balance. In: Proceedings of the ICUIMC 2010, pp. 56:1–56:6 (2010) Karikome, S., Fujii, A.: A system for supporting dietary habits: planning menus and visualizing nutritional intake balance. In: Proceedings of the ICUIMC 2010, pp. 56:1–56:6 (2010)
7.
go back to reference Kuo, F.F., Li, C.T., Shan, M.K., Lee, S.Y.: Intelligent menu planning: recommending set of recipes by ingredients. In: Proceedings of the ACM Multimedia 2012 Workshop on Multimedia for Cooking and Eating Activities, pp. 1–6. ACM, New York (2012) Kuo, F.F., Li, C.T., Shan, M.K., Lee, S.Y.: Intelligent menu planning: recommending set of recipes by ingredients. In: Proceedings of the ACM Multimedia 2012 Workshop on Multimedia for Cooking and Eating Activities, pp. 1–6. ACM, New York (2012)
8.
go back to reference Kusmierczyk, T., Trattner, C., Nørvåg, K.: Temporal patterns in online food innovation. In: Proceedings of the 24th International Conference on World Wide Web, WWW 2015 Companion, pp. 1345–1350 (2015) Kusmierczyk, T., Trattner, C., Nørvåg, K.: Temporal patterns in online food innovation. In: Proceedings of the 24th International Conference on World Wide Web, WWW 2015 Companion, pp. 1345–1350 (2015)
9.
go back to reference Manning, C.D., Raghavan, P., Schutze, H.: Scoring, term weighting, and the vector space model. In: Introduction to Information Retrieval, p. 100. Cambridge University Press (2008) Manning, C.D., Raghavan, P., Schutze, H.: Scoring, term weighting, and the vector space model. In: Introduction to Information Retrieval, p. 100. Cambridge University Press (2008)
10.
go back to reference Nakaoka, Y., Satoh, T.: The proposal of the cooking repertory expansion method based on a user’s cooking experience. Technical report of IEICE (2014) (in Japanese with English abstract) Nakaoka, Y., Satoh, T.: The proposal of the cooking repertory expansion method based on a user’s cooking experience. Technical report of IEICE (2014) (in Japanese with English abstract)
11.
go back to reference Rokicki, M., Herder, E., Demidova, E.: What’s on my plate: towards recommending recipe variations for diabetes patients. In: Proceedings of 2016 LBRS (2015) Rokicki, M., Herder, E., Demidova, E.: What’s on my plate: towards recommending recipe variations for diabetes patients. In: Proceedings of 2016 LBRS (2015)
12.
go back to reference Rokicki, M., Herder, E., Kuśmierczyk, T., Trattner, C.: Plate and prejudice: gender differences in online cooking. In: Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, UMAP 2016, pp. 207–215 (2016) Rokicki, M., Herder, E., Kuśmierczyk, T., Trattner, C.: Plate and prejudice: gender differences in online cooking. In: Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, UMAP 2016, pp. 207–215 (2016)
13.
go back to reference Seki, Y., Ono, K.: Discriminating practical recipes based on content characteristics in popular social recipes. In: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 487–496 (2014) Seki, Y., Ono, K.: Discriminating practical recipes based on content characteristics in popular social recipes. In: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 487–496 (2014)
14.
go back to reference Su, H., Shan, M., Lin, T., Chang, J., Li, C.: Automatic recipe cuisine classification by ingredients. In: Proceedings of the Ubicomp 2014, pp. 565–570 (2014) Su, H., Shan, M., Lin, T., Chang, J., Li, C.: Automatic recipe cuisine classification by ingredients. In: Proceedings of the Ubicomp 2014, pp. 565–570 (2014)
15.
go back to reference Teng, C.Y., Lin, Y.R., Adamic, L.A.: Recipe recommendation using ingredient networks. In: Proceedings of the 4th Annual ACM Web Science Conference, WebSci 2012, pp. 298–307 (2012) Teng, C.Y., Lin, Y.R., Adamic, L.A.: Recipe recommendation using ingredient networks. In: Proceedings of the 4th Annual ACM Web Science Conference, WebSci 2012, pp. 298–307 (2012)
16.
go back to reference Ueda, M., Takahata, M., Nakajima, S.: User’s food preference extraction for personalized cooking recipe recommendation. In: Proceedings of the SPIM 2011, pp. 98–105 (2011) Ueda, M., Takahata, M., Nakajima, S.: User’s food preference extraction for personalized cooking recipe recommendation. In: Proceedings of the SPIM 2011, pp. 98–105 (2011)
17.
go back to reference Wang, L., Li, Q., Li, N., Dong, G., Yang, Y.: Substructure similarity measurement in Chinese recipes. In: Proceedings of the WWW 2008, pp. 979–988 (2008) Wang, L., Li, Q., Li, N., Dong, G., Yang, Y.: Substructure similarity measurement in Chinese recipes. In: Proceedings of the WWW 2008, pp. 979–988 (2008)
18.
go back to reference Yajima, A., Kobayashi, I.: “Easy” cooking recipe recommendation considering user’s conditions. In: Proceedings of the WI-IAT 2009, pp. 13–16 (2009) Yajima, A., Kobayashi, I.: “Easy” cooking recipe recommendation considering user’s conditions. In: Proceedings of the WI-IAT 2009, pp. 13–16 (2009)
19.
go back to reference Yang, L., Cui, Y., Zhang, F., Pollak, J.P., Belongie, S., Estrin, D.: PlateClick: bootstrapping food preferences through an adaptive visual interface. In: Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, CIKM 2015, pp. 183–192 (2015) Yang, L., Cui, Y., Zhang, F., Pollak, J.P., Belongie, S., Estrin, D.: PlateClick: bootstrapping food preferences through an adaptive visual interface. In: Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, CIKM 2015, pp. 183–192 (2015)
20.
go back to reference Yu, L., Li, Q., Xie, H., Cai, Y.: Exploring folksonomy and cooking procedures to boost cooking recipe recommendation. In: Du, X., Fan, W., Wang, J., Peng, Z., Sharaf, M.A. (eds.) APWeb 2011. LNCS, vol. 6612, pp. 119–130. Springer, Heidelberg (2011)CrossRef Yu, L., Li, Q., Xie, H., Cai, Y.: Exploring folksonomy and cooking procedures to boost cooking recipe recommendation. In: Du, X., Fan, W., Wang, J., Peng, Z., Sharaf, M.A. (eds.) APWeb 2011. LNCS, vol. 6612, pp. 119–130. Springer, Heidelberg (2011)CrossRef
Metadata
Title
Continuous Recipe Selection Model Based on Cooking History
Authors
Shuhei Yamamoto
Noriko Kando
Tetsuji Satoh
Copyright Year
2016
DOI
https://doi.org/10.1007/978-3-319-47880-7_9