%0 Journal Article %1 Rahdari2024 %A Rahdari, Behnam %A Brusilovsky, Peter %A Kveton, Branislav %C New York, NY, USA %D 2024 %I Association for Computing Machinery %J ACM Trans. Recomm. Syst. %K carousel evaluation myown recommender simulation %N 1 %P 1–25 %R 10.1145/3643709 %T Towards Simulation-Based Evaluation of Recommender Systems with Carousel Interfaces %U https://doi.org/10.1145/3643709 %V 2 %X Offline data-driven evaluation is considered a low-cost and more accessible alternative to the online empirical method of assessing the quality of recommender systems. Despite their popularity and effectiveness, most data-driven approaches are unsuitable for evaluating interactive recommender systems. In this article, we attempt to address this issue by simulating the user interactions with the system as a part of the evaluation process. Particularly, we demonstrate that simulated users find their desired item more efficiently when recommendations are presented as a list of carousels compared to a simple ranked list.

@article{Rahdari2024, abstract = {Offline data-driven evaluation is considered a low-cost and more accessible alternative to the online empirical method of assessing the quality of recommender systems. Despite their popularity and effectiveness, most data-driven approaches are unsuitable for evaluating interactive recommender systems. In this article, we attempt to address this issue by simulating the user interactions with the system as a part of the evaluation process. Particularly, we demonstrate that simulated users find their desired item more efficiently when recommendations are presented as a list of carousels compared to a simple ranked list.}, added-at = {2024-05-22T13:10:11.000+0200}, address = {New York, NY, USA}, author = {Rahdari, Behnam and Brusilovsky, Peter and Kveton, Branislav}, biburl = {https://www.bibsonomy.org/bibtex/20ad72b2d3bd8ab3459bf0379814ea3a0/brusilovsky}, day = 7, description = {Towards Simulation-Based Evaluation of Recommender Systems with Carousel Interfaces | ACM Transactions on Recommender Systems}, doi = {10.1145/3643709}, interhash = {7499a7dee6a673a87e48d10814ac4c0b}, intrahash = {0ad72b2d3bd8ab3459bf0379814ea3a0}, issue_date = {March 2024}, journal = {ACM Trans. Recomm. Syst.}, keywords = {carousel evaluation myown recommender simulation}, month = {3}, number = 1, numpages = {25}, pages = {1–25}, publisher = {Association for Computing Machinery}, timestamp = {2024-05-22T13:10:11.000+0200}, title = {Towards Simulation-Based Evaluation of Recommender Systems with Carousel Interfaces}, url = {https://doi.org/10.1145/3643709}, volume = 2, year = 2024 }