Promoting Healthy Food Choices Online: A Case for Multi-List Recommender Systems

A.D. Starke, Christoph Trattner

Research output: Chapter in Book/Report/Conference proceedingConference paperAcademic

Abstract

Many food choices are made online. Interactive, personalized interfaces, such as recommender systems, can help users to f!nd new products to eat or recipes to cook, but they tend to promote unhealthy alternatives. In this position paper, we argue that better algorithms are not the only way forward. We blend algorithms and user interface design to present a multi-list recommender interface that presents multiple lists of personalized items in a single interface, where each list is optimized for a speci!c feature (e.g., ‘less fat’). We argue how multi-list recommenders can be used to support healthier food choices.
Original languageEnglish
Title of host publicationProceedings of the ACM IUI 2021 Workshops
EditorsDorota Glowacka, Vinayak Krishnamurthy
Place of PublicationAachen
Volume2903
Publication statusPublished - Jul 2021
EventACM IUI 2021 Workshops - College Station, United States
Duration: 13 Apr 202117 Apr 2021

Publication series

NameProceedings of the ACM IUI Workshops
ISSN (Electronic)1613-0073

Conference

ConferenceACM IUI 2021 Workshops
CountryUnited States
CityCollege Station
Period13/04/2117/04/21

Keywords

  • Recommender Systems
  • Food
  • Digital Health
  • Interfaces
  • Algorithms

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