Discriminating practical recipes based on content characteristics in popular social recipes

ABSTRACT

Recipe websites sometimes contain vast collections of recipes, making it time-consuming for users to identify recipes that might suit them. In this study, we aim to support users in their recipe selection by discriminating "practical recipes" that are easy to understand, written concisely with sufficient description, and offer detailed tips and pointers. We performed a content analysis of popular recipes found on Cookpad, focusing on ten types of dishes, and decided to use seven content characteristics, such as "description of the heat level" and "description of the cooking time," as features to discriminate practical recipes. We have implemented a discriminator based on an SVM classifier that uses these features. The results of a discrimination experiment show that the mean value of the accuracy of the ten types of dishes is 0.813. This represents a significant difference from a baseline discriminator.

References

1. Buykx, L. and Petrie, H. What cooks need from multimedia and textually enhanced recipes. Proc. of IEEE International Symposium on Multimedia (2011), 387--392.
2. Fusosha (Editing). Recipe Blog Magazine 2013 Autumn/Winter, Vol. 1, Fusosha Publishing, Tokyo, Japan, 2013. (In Japanese)
3. Mintz, M., Bills, S., Snow, R. and Jurafsky, D. Distant supervision for relation extraction without labeled data. Proc. of the 47th Annual Meeting of the ACL (2009), 1003--1011.
4. Purver, M. and Battersby, S. Experimenting with distant supervision for emotion classification. Proc. of the 13th European Chapter of the Association for Computational Linguistics (2012), 482--491.
5. Tachibana, A., Wakamiya, S., Namba, H. and Sumiya, K. Extraction of naming concepts based on modifiers in recipe title. Proc. of the International MultiConference of Engineers and Computer Scientists (2014), 507--512.
6. Yamakata, Y., Imahori, S., Sugiyama, Y., Mori, S. and Tanaka, K. Feature extraction and summarization of recipes using flow graph. Proc. of the 5th International Conference on Social Informatics (2013), 241--254.

Index Terms

• Human-centered computing

  • Human computer interaction (HCI)

    • Interaction paradigms

      • Natural language interfaces