BEACON: Balancing Convenience and Nutrition in Meals With Long-Term Group Recommendations and Reasoning on Multimodal Recipes
Clicks: 35
ID: 282972
2024
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
10.2
/100
35 views
18 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #673 of 803 articles by views in arXiv
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 803 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
A common, yet regular, decision made by people, whether healthy or with any
health condition, is to decide what to have in meals like breakfast, lunch, and
dinner, consisting of a combination of foods for appetizer, main course, side
dishes, desserts, and beverages. However, often this decision is seen as a
trade-off between nutritious choices (e.g., low salt and sugar) or convenience
(e.g., inexpensive, fast to prepare/obtain, taste better). In this preliminary
work, we present a data-driven approach for the novel meal recommendation
problem that can explore and balance choices for both considerations while also
reasoning about a food's constituents and cooking process. Beyond the problem
formulation, our contributions also include a goodness measure, a recipe
conversion method from text to the recently introduced multimodal rich recipe
representation (R3) format, and learning methods using contextual bandits that
show promising results.
| Reference Key |
srivastava2024beacon
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Vansh Nagpal; Siva Likitha Valluru; Kausik Lakkaraju; Biplav Srivastava |
| Journal | arXiv |
| Year | 2024 |
| DOI |
DOI not found
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.