Surprising Recipe Extraction based on Rarity and Generality of Ingredients

Kyosuke Ikejiri, Yuichi Sei, Hiroyuki Nakagawa, Yasuyuki Tahara, Akihiko Ohsuga

2014

Abstract

Many surprising recipes that utilize different ingredients or cooking processes from normal recipes exist on user-generated recipe sites. The easiest way to find surprising recipes is to use the search function of the recipe sites. However, the titles of surprising recipes do not always include a keyword, such as “surprise”, or an indication that a recipe is unusual in any way. Therefore, we cannot find surprising recipes very easily. In this paper, we propose a method to extract surprising or unique recipes from those user-generated recipe sites. We propose an RF-IIF (Recipe Frequency-Inverse Ingredient Frequency) based on TF-IDF (Term Frequency- Inverse Ingredient Frequency). First, we calculate the surprising value of the ingredients by using RF-IIF. Then, we calculate the surprising value of each recipe by summing the surprising values of the ingredients that appear in a recipe. Finally, we extract recipes that have high surprising values as surprising recipes of the dish category. In the evaluation experiment, the subjects requested an evaluation about each surprising recipe. As a result, we showed that the extracted recipes were valid recipes and also had a surprising or unusual element. Therefore, we showed the usefulness of the proposed method.

Paper Citation

in Harvard Style

Ikejiri K., Sei Y., Nakagawa H., Tahara Y. and Ohsuga A. (2014). Surprising Recipe Extraction based on Rarity and Generality of Ingredients . In Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-015-4, pages 428-436. DOI: 10.5220/0004817304280436

in Bibtex Style

@conference{icaart14,
author={Kyosuke Ikejiri and Yuichi Sei and Hiroyuki Nakagawa and Yasuyuki Tahara and Akihiko Ohsuga},
title={Surprising Recipe Extraction based on Rarity and Generality of Ingredients},
booktitle={Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2014},
pages={428-436},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004817304280436},
isbn={978-989-758-015-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Surprising Recipe Extraction based on Rarity and Generality of Ingredients
SN - 978-989-758-015-4
AU - Ikejiri K.
AU - Sei Y.
AU - Nakagawa H.
AU - Tahara Y.
AU - Ohsuga A.
PY - 2014
SP - 428
EP - 436
DO - 10.5220/0004817304280436