RecSys Challenges in achieving sustainable eating habits

Alain Starke

RecSys Challenges in achieving sustainable eating habits

Alain Starke

Human Technology Interaction

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

17 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 language	English
Title of host publication	HealthRecSys 2019 Health Recommender Systems 2019
Subtitle of host publication	Proceedings of the 4th International Workshop on Health Recommender Systems co-located with the 13th ACM Conference on Recommender Systems 2019 (RecSys 2019)
Editors	David Elsweiler, Bernd Ludwig, Alan Said, Hanna Schäfer , Helma Torkamaan , Christoph Trattner
Publisher	CEUR-WS.org
Pages	29-30
Number of pages	2
Publication status	Published - 2019
Event	4th International Workshop on Health Recommender Systems, HealthRecSys 2019 - Copenhagen, Denmark Duration: 20 Sept 2019 → 20 Sept 2019

Publication series

Name	CEUR Workshop Proceedings
Publisher	CEUR-WS.org
Volume	2439
ISSN (Print)	1613-0073

Conference

Conference	4th International Workshop on Health Recommender Systems, HealthRecSys 2019
Country/Territory	Denmark
City	Copenhagen
Period	20/09/19 → 20/09/19

Keywords

Behavioral Change
Eang habits
Rasch Model
Sustainability
User Experience

Access to Document

http://ceur-ws.org/Vol-2439/7-paginated.pdf

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

Starke, Alain. / RecSys Challenges in achieving sustainable eating habits. 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). editor / David Elsweiler ; Bernd Ludwig ; Alan Said ; Hanna Schäfer ; Helma Torkamaan ; Christoph Trattner . CEUR-WS.org, 2019. pp. 29-30 (CEUR Workshop Proceedings).

@inproceedings{ec4138c794f2448f8808a610a9a97afa,

title = "RecSys Challenges in achieving sustainable eating habits",

abstract = "Most food recommender systems successfully fit one{\textquoteright}s current appetite for different food items. However, one{\textquoteright}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.",

keywords = "Behavioral Change, Eang habits, Rasch Model, Sustainability, User Experience",

author = "Alain Starke",

year = "2019",

language = "English",

series = "CEUR Workshop Proceedings",

publisher = "CEUR-WS.org",

pages = "29--30",

editor = "David Elsweiler and Bernd Ludwig and Alan Said and {Sch{\"a}fer }, Hanna and {Torkamaan }, Helma and {Trattner }, Christoph",

booktitle = "HealthRecSys 2019 Health Recommender Systems 2019",

note = "4th International Workshop on Health Recommender Systems, HealthRecSys 2019 ; Conference date: 20-09-2019 Through 20-09-2019",

}

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). CEUR Workshop Proceedings, vol. 2439, CEUR-WS.org, pp. 29-30, 4th International Workshop on Health Recommender Systems, HealthRecSys 2019, Copenhagen, Denmark, 20/09/19. <http://ceur-ws.org/Vol-2439/7-paginated.pdf>

RecSys Challenges in achieving sustainable eating habits. / Starke, Alain.
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). ed. / David Elsweiler; Bernd Ludwig; Alan Said; Hanna Schäfer ; Helma Torkamaan ; Christoph Trattner . CEUR-WS.org, 2019. p. 29-30 (CEUR Workshop Proceedings; Vol. 2439).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Starke, Alain

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - Behavioral Change

KW - Eang habits

KW - Rasch Model

KW - Sustainability

KW - User Experience

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M3 - Conference contribution

AN - SCOPUS:85072724141

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EP - 30

BT - HealthRecSys 2019 Health Recommender Systems 2019

A2 - Elsweiler, David

A2 - Ludwig, Bernd

A2 - Said, Alan

A2 - Schäfer , Hanna

A2 - Torkamaan , Helma

A2 - Trattner , Christoph

PB - CEUR-WS.org

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Y2 - 20 September 2019 through 20 September 2019

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Starke A. RecSys Challenges in achieving sustainable eating habits. In Elsweiler D, Ludwig B, Said A, Schäfer H, Torkamaan H, Trattner C, editors, 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). CEUR-WS.org. 2019. p. 29-30. (CEUR Workshop Proceedings).

RecSys Challenges in achieving sustainable eating habits

Abstract

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Keywords

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