Recommendation of dinner menu sequences for small groups considering individual preferences and their lunch menu sequences

Planning daily dinners is a complex task that involves considering e.g. ingredient availability, menu balance and food preferences. Meals are often shared by a small group or family rather than eaten individually, adding to the complexity of planning, especially when considering the connection to lunch. Additionally, planning dinners on consecutive days further complicates the planning process. To alleviate this difficulty, in this paper, we propose a framework for generating sequences of dinner menus for small groups, in which an optimal sequence is derived by combining menus from the optimal dinner sequences from each group member. The experimental results of both qualitative and quantitative evaluations using real datasets confirmed the effectiveness and usefulness of the proposed framework.

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Publication Details

Published
2024-11-26
DOI
https://doi.org/10.1109/candarw64572.2024.00035
Primary Topic
Culinary Culture and Tourism
Type
article
Field-Weighted Citation Impact
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article

Recommendation of dinner menu sequences for small groups considering individual preferences and their lunch menu sequences

Hiroki Takahashi, Tomonobu Ozaki
Culinary Culture and Tourism
article

Recommendation of dinner menu sequences for small groups considering individual preferences and their lunch menu sequences

Hiroki Takahashi, Tomonobu Ozaki
article en

Abstract

Planning daily dinners is a complex task that involves considering e.g. ingredient availability, menu balance and food preferences. Meals are often shared by a small group or family rather than eaten individually, adding to the complexity of planning, especially when considering the connection to lunch. Additionally, planning dinners on consecutive days further complicates the planning process. To alleviate this difficulty, in this paper, we propose a framework for generating sequences of dinner menus for small groups, in which an optimal sequence is derived by combining menus from the optimal dinner sequences from each group member. The experimental results of both qualitative and quantitative evaluations using real datasets confirmed the effectiveness and usefulness of the proposed framework.

Nihon University (JP)
Openalex Percentile: Top 70%
Culinary Culture and Tourism
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