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Concurrence of Word Concepts in Cooking Recipe Search

Published: 20 August 2017 Publication History

Abstract

Recipe search systems rely on keyword matching, and in this work we analyze the consistency of vocabulary, investigating how agreement differs when searching: for ingredients versus dishes; for common versus uncommon items; and, between recipe authors and searchers. The experiments for this study use a crowd-sourcing framework and a large corpus of cooking recipes. User data is compared with author data from a large collection of written cooking recipes. Our results show that (i) names for ingredients are more concurrent than for dishes; (ii) concurrency is higher for common items than uncommon items; and (iii) inadequate word representation in the recipe corpus leads to poor concurrence of vocabulary between searchers and authors. These results suggest fundamental knowledge to improve the effectiveness of cooking recipe search.

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Cited By

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  • (2022)Semantic-based Thai Recipe Recommendation2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE)10.1109/JCSSE54890.2022.9836293(1-6)Online publication date: 22-Jun-2022
  • (2019)Foods Recommendation System for Meals-out in Nutrient BalanceProceedings of the 11th Workshop on Multimedia for Cooking and Eating Activities10.1145/3326458.3326926(17-23)Online publication date: 5-Jun-2019

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cover image ACM Other conferences
CEA2017: Proceedings of the 9th Workshop on Multimedia for Cooking and Eating Activities in conjunction with The 2017 International Joint Conference on Artificial Intelligence
August 2017
64 pages
ISBN:9781450352673
DOI:10.1145/3106668
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 the author(s) 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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  • The International Joint Conferences on Artificial Intelligence, Inc. (IJCAI)

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 August 2017

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Author Tags

  1. culinary vocabulary
  2. synonyms
  3. word search by word

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  • Research-article
  • Research
  • Refereed limited

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  • JSPS KAKENHI

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CEA2017

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CEA2017 Paper Acceptance Rate 7 of 12 submissions, 58%;
Overall Acceptance Rate 20 of 33 submissions, 61%

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Cited By

View all
  • (2022)Semantic-based Thai Recipe Recommendation2022 19th International Joint Conference on Computer Science and Software Engineering (JCSSE)10.1109/JCSSE54890.2022.9836293(1-6)Online publication date: 22-Jun-2022
  • (2019)Foods Recommendation System for Meals-out in Nutrient BalanceProceedings of the 11th Workshop on Multimedia for Cooking and Eating Activities10.1145/3326458.3326926(17-23)Online publication date: 5-Jun-2019

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