RecSys Challenges in achieving sustainable eating habits

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)

Abstract

Most food recommender systems successfully fit one’s current appetite for different food items. However, one’s current preferences (e.g. I like high-carb foods) may conflict with a new dietary goal (e.g. I want to minimize my carb intake), which can be detrimental to recommendation quality over time. Moreover, choices in the short-term might not lead to behavioral change in the longer-term. This short position paper outlines a few challenges related to changing habits, and reports a small analysis to show how the Rasch model could complement CF-based approaches in research on sustainable eating habits.

Original languageEnglish
Title of host publicationHealthRecSys 2019 Health Recommender Systems 2019
Subtitle of host publicationProceedings of the 4th International Workshop on Health Recommender Systems co-located with the 13th ACM Conference on Recommender Systems 2019 (RecSys 2019)
EditorsDavid Elsweiler, Bernd Ludwig, Alan Said, Hanna Schäfer , Helma Torkamaan , Christoph Trattner
PublisherCEUR-WS.org
Pages29-30
Number of pages2
Publication statusPublished - 2019
Event4th International Workshop on Health Recommender Systems, HealthRecSys 2019 - Copenhagen, Denmark
Duration: 20 Sep 201920 Sep 2019

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR-WS.org
Volume2439
ISSN (Print)1613-0073

Conference

Conference4th International Workshop on Health Recommender Systems, HealthRecSys 2019
CountryDenmark
CityCopenhagen
Period20/09/1920/09/19

Keywords

  • Behavioral Change
  • Eang habits
  • Rasch Model
  • Sustainability
  • User Experience

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  • Cite this

    Starke, A. (2019). RecSys Challenges in achieving sustainable eating habits. In D. Elsweiler, B. Ludwig, A. Said, H. Schäfer , H. Torkamaan , & C. Trattner (Eds.), HealthRecSys 2019 Health Recommender Systems 2019: Proceedings of the 4th International Workshop on Health Recommender Systems co-located with the 13th ACM Conference on Recommender Systems 2019 (RecSys 2019) (pp. 29-30). (CEUR Workshop Proceedings; Vol. 2439). CEUR-WS.org. http://ceur-ws.org/Vol-2439/7-paginated.pdf