The Magic of Carousels: Single vs. Multi-List Recommender Systems
Carousel-based interfaces with multiple topic-focused item lists have emerged as a de-facto standard for presenting recommendation results to end-users in real-life recommender systems. In this paper, we attempt to formalize and explain the “magic” power of carousel-based interfaces from a traditional hypertext prospect of navigability. By applying both, formal analysis and a data-driven evaluation, we demonstrate and measure the benefits offered by the carousel-based organization of recommendations. We hope that this work will benefit the researchers in both hypertext and recommender systems communities, where the research on carousel-based interfaces is gaining popularity.- doi
- 10.1145/3511095.3531278
- name
- The Magic of Carousels: Single vs. Multi-List Recommender Systems
- source
- supplied-acm-publisher-html
- acm_url
- https://dl.acm.org/doi/10.1145/3511095.3531278
- authors
- Behnam Rahdari, Branislav Kveton, Peter Brusilovsky
- doi_url
- https://doi.org/10.1145/3511095.3531278
- license
- © 2022 Association for Computing Machinery.
- summary
- Carousel-based interfaces with multiple topic-focused item lists have emerged as a de-facto standard for presenting recommendation results to end-users in real-life recommender systems. In this paper, we attempt to formalize and explain the “magic” power of carousel-based interfaces from a traditional hypertext prospect of navigability. By applying both, formal analysis and a data-driven evaluation, we demonstrate and measure the benefits offered by the carousel-based organization of recommendations. We hope that this work will benefit the researchers in both hypertext and recommender systems communities, where the research on carousel-based interfaces is gaining popularity.
- keywords
- Recommender Systems; Carousel-based interface; Human-AI collaboration, Navigability, Click Models
- source_pdf
- HT-2022_39_31_3511095/3511095.3531278.pdf
- import_kind
- full_text
- open_access
- false
- displayAuthor
- Behnam Rahdari, Branislav Kveton, Peter Brusilovsky
- displayPublishTime
- 2022-06-28
- source_attribution
- Formatting converted from the supplied ACM publisher HTML and verified against the supplied ACM archival PDF.
Powered by Seed HypermediaOpen App