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Finding food entity relationships using user-generated data in recipe service

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Young-joo ChungAuthors Info & Claims

CIKM '12: Proceedings of the 21st ACM international conference on Information and knowledge management

Pages 2611 - 2614

https://doi.org/10.1145/2396761.2398704

Published: 29 October 2012 Publication History

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Abstract

Rakuten recipe is a recipe site where users can submit their recipes and share with the others. Since recipe contents are generated by users, they usually contain many misspellings, abbreviations, synonyms, hypernyms and hyponyms. Identifying and normalizing these words is essential to retrieve relevant recipes to user's request. In this paper, we introduce a new approach to finding related words in a recipe domain using the data structure. Based on the observation that people usually write the main ingredient in the first position of ingredient lists of each recipe and such a ingredient is strongly related to the categories where recipes belong, we calculate relation scores of word pairs using real service data, which contains 790 categories and 405,519 recipes. The experimental result showed that we successfully found semantically related word pairs with f-score of 0.93.

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Hiramatsu MWakabayashi KHarashima J(2023)Named Entity Recognition by Character-Based Word Classification Using a Domain Specific DictionaryComputational Linguistics and Intelligent Text Processing10.1007/978-3-031-24340-0_4(38-48)Online publication date: 26-Feb-2023
https://doi.org/10.1007/978-3-031-24340-0_4
NOBUMOTO KHIROTA MKATO DISHIKAWA H(2019)Multilingualization of Cooking by Analogical Descriptionアナロジーによる料理の国際的な表記方式の提案Journal of Japan Society for Fuzzy Theory and Intelligent Informatics10.3156/jsoft.31.1_52631:1(526-533)Online publication date: 15-Feb-2019
https://doi.org/10.3156/jsoft.31.1_526
Nobumoto KKato DEndo MHirota MIshikawa HIde IYamakata Y(2017)Multilingualization of Restaurant Menu by Analogical DescriptionProceedings of the 9th Workshop on Multimedia for Cooking and Eating Activities in conjunction with The 2017 International Joint Conference on Artificial Intelligence10.1145/3106668.3106671(13-18)Online publication date: 20-Aug-2017
https://dl.acm.org/doi/10.1145/3106668.3106671
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Index Terms

Finding food entity relationships using user-generated data in recipe service
1. Information systems
  1. Information retrieval

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Published In

CIKM '12: Proceedings of the 21st ACM international conference on Information and knowledge management

October 2012

2840 pages

ISBN:9781450311564

DOI:10.1145/2396761

General Chair:
Xuewen Chen
Wayne State University, USA
,
Program Chairs:
Guy Lebanon
Georgia Institute of Technology
,
Haixun Wang
Microsoft Research Asia
,
Mohammed J. Zaki
Rensselaer Polytechnic Institute

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 October 2012

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CIKM'12

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CIKM'12: 21st ACM International Conference on Information and Knowledge Management

October 29 - November 2, 2012

Hawaii, Maui, USA

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Hiramatsu MWakabayashi KHarashima J(2023)Named Entity Recognition by Character-Based Word Classification Using a Domain Specific DictionaryComputational Linguistics and Intelligent Text Processing10.1007/978-3-031-24340-0_4(38-48)Online publication date: 26-Feb-2023
https://doi.org/10.1007/978-3-031-24340-0_4
NOBUMOTO KHIROTA MKATO DISHIKAWA H(2019)Multilingualization of Cooking by Analogical Descriptionアナロジーによる料理の国際的な表記方式の提案Journal of Japan Society for Fuzzy Theory and Intelligent Informatics10.3156/jsoft.31.1_52631:1(526-533)Online publication date: 15-Feb-2019
https://doi.org/10.3156/jsoft.31.1_526
Nobumoto KKato DEndo MHirota MIshikawa HIde IYamakata Y(2017)Multilingualization of Restaurant Menu by Analogical DescriptionProceedings of the 9th Workshop on Multimedia for Cooking and Eating Activities in conjunction with The 2017 International Joint Conference on Artificial Intelligence10.1145/3106668.3106671(13-18)Online publication date: 20-Aug-2017
https://dl.acm.org/doi/10.1145/3106668.3106671
Kicherer HDittrich MGrebe LScheible CKlinger R(2017)What You Use, Not What You Do: Automatic Classification of RecipesNatural Language Processing and Information Systems10.1007/978-3-319-59569-6_22(197-209)Online publication date: 2-Jun-2017
https://doi.org/10.1007/978-3-319-59569-6_22
Nadamoto AHanai SNanba H(2016)Clustering for Similar Recipes in User-Generated Recipe Sites Based on Main Ingredients and Main Seasoning2016 19th International Conference on Network-Based Information Systems (NBiS)10.1109/NBiS.2016.49(336-341)Online publication date: Sep-2016
https://doi.org/10.1109/NBiS.2016.49
Hashimoto AHarashima JYamakata YMori S(2016)Design in Everyday Cooking: Challenges for Assisting with Menu Planning and Food PreparationCross-Cultural Design10.1007/978-3-319-40093-8_19(182-192)Online publication date: 19-Jun-2016
https://doi.org/10.1007/978-3-319-40093-8_19
Nanba HDoi YTsujita MTakezawa TSumiya KBrush AFriday AKientz JScott JSong J(2014)Construction of a cooking ontology from cooking recipes and patentsProceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication10.1145/2638728.2641328(507-516)Online publication date: 13-Sep-2014
https://dl.acm.org/doi/10.1145/2638728.2641328
Wakamiya SKawai YNanba HSumiya K(2014)Extracting Naming Concepts by Analyzing Recipes and the Modifiers in Their TitlesTransactions on Engineering Technologies10.1007/978-94-017-9588-3_25(321-335)Online publication date: 30-Dec-2014
https://doi.org/10.1007/978-94-017-9588-3_25

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