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IYASHI Recipe: Cooking Recipe Recommendation for Healing based on Physical Conditions and Human Relations

Published: 21 August 2021 Publication History

Abstract

In this paper, we propose a recipe recommendation method that can heal both the provider and the recipient of food. In particular, we focus on the motivation of recipe contributors, and propose a recipe recommendation method that can heal both parties by considering not only the recipe procedure but also the relationship between the provider and the recipient, and their health conditions. Specifically, we extract feature words by learning from the items in the recipe data that contain a lot of information other than the cooking procedure, such as "title," "introduction of the recipe," "one-point information," and "trigger." In addition, each item of the recipe is analyzed for sentiment, and ranked based on the extracted feature words and sentiment values of the physical condition and relationship. We validate the usefulness of the proposed method by evaluating the relationship and physical condition feature words extracted by the proposed method and by evaluating the recipe ranking using Rakuten's recipe data.

References

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cover image ACM Conferences
CEA '21: Proceedings of the 13th International Workshop on Multimedia for Cooking and Eating Activities
August 2021
42 pages
ISBN:9781450385329
DOI:10.1145/3463947
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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Publication History

Published: 21 August 2021

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Author Tags

  1. cooking recipe
  2. recipe recommendation
  3. recipe search

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  • Research-article

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  • ROIS NII Open Collaborative Research

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ICMR '21
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Overall Acceptance Rate 20 of 33 submissions, 61%

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