%0 Conference Paper %1 Starke_2021 %A Starke, Alain %A Asotic, Edis %A Trattner, Christoph %B Fifteenth ACM Conference on Recommender Systems %D 2021 %I ACM %K RecSys2021 carousel explanation food-recommender recommender %P 124-132 %R 10.1145/3460231.3474232 %T Serving Each User: Supporting Different Eating Goals Through a Multi-List Recommender Interface %U https://doi.org/10.1145%2F3460231.3474232 %X 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.

@inproceedings{Starke_2021, 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.}, added-at = {2021-09-28T15:13:15.000+0200}, author = {Starke, Alain and Asotic, Edis and Trattner, Christoph}, biburl = {https://www.bibsonomy.org/bibtex/25cce883788c83c4d2ede1222ec88df2c/brusilovsky}, booktitle = {Fifteenth {ACM} Conference on Recommender Systems}, description = {“Serving Each User”: Supporting Different Eating Goals Through a Multi-List Recommender Interface | Fifteenth ACM Conference on Recommender Systems}, doi = {10.1145/3460231.3474232}, interhash = {e578c5ef84bcc9e5cdfe94d0e9197b1d}, intrahash = {5cce883788c83c4d2ede1222ec88df2c}, keywords = {RecSys2021 carousel explanation food-recommender recommender}, month = sep, pages = {124-132}, publisher = {{ACM}}, timestamp = {2023-06-05T01:10:21.000+0200}, title = {Serving Each User: Supporting Different Eating Goals Through a Multi-List Recommender Interface}, url = {https://doi.org/10.1145%2F3460231.3474232}, year = 2021 }