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Authors: Kyosuke Ikejiri ; Yuichi Sei ; Hiroyuki Nakagawa ; Yasuyuki Tahara and Akihiko Ohsuga

Affiliation: University of Electro-Communications, Japan

ISBN: 978-989-758-015-4

Keyword(s): Data Mining, Recipe, Information Recommendation.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Data Mining ; Databases and Information Systems Integration ; Enterprise Information Systems ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Natural Language Processing ; Pattern Recognition ; Sensor Networks ; Signal Processing ; Soft Computing ; Symbolic Systems

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. (More)

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Paper citation in several formats:
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

@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},
}

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

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