Abstract
Food recommender systems optimize towards a user's current preferences. However, appetites may vary, in the sense that users might seek healthy recipes today and look for unhealthy meals tomorrow. In this paper, we propose a novel approach in the food domain to diversify recommendations across different lists to 'serve' different users goals, compiled in a multi-list food recommender interface. We evaluated our interface in a 2 (single list vs multiple lists) x 2 (without or with explanations) between-subject user study (N = 366), linking choice behavior and evaluation aspects through the user experience framework. Our multi-list interface was evaluated more favorably than a single-list interface, in terms of diversity and choice satisfaction. Moreover, it triggered changes in food choices, even though these choices were less healthy than those made in the single-list interface.
Original language | English |
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Title of host publication | RecSys 2021 - 15th ACM Conference on Recommender Systems |
Publisher | Association for Computing Machinery, Inc. |
Pages | 124-132 |
Number of pages | 9 |
ISBN (Electronic) | 978-1-4503-8458-2 |
DOIs | |
Publication status | Published - Sept 2021 |
Externally published | Yes |
Event | 15th ACM Conference on Recommender Systems, RecSys 2021 - Virtual, Online Beurs van Berlage, Amsterdam, Netherlands Duration: 27 Sept 2021 → 1 Oct 2021 Conference number: 15 https://recsys.acm.org/recsys21/ |
Conference
Conference | 15th ACM Conference on Recommender Systems, RecSys 2021 |
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Abbreviated title | RecSys 2021 |
Country/Territory | Netherlands |
City | Amsterdam |
Period | 27/09/21 → 1/10/21 |
Internet address |
Funding
This work was supported by the Research Council of Norway with funding to MediaFutures: Research Centre for Responsible Media Technology and Innovation, through the Centre for Research-based Innovation scheme, project number 309339.
Keywords
- Food
- Goals
- Health
- Nudges
- Recommender Systems
- User Experience