The Magic of Carousels: Single vs. Multi-List Recommender Systems

Rahdari, Behnam; Kveton, Branislav; Brusilovsky, Peter

doi:10.1145/3511095.3531278

Cited by 9 publications

(2 citation statements)

References 28 publications

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“…reviewed the recent advances in page-level optimization, but these approaches are beyond the user-centered scope of this mini review. Finally, Rahdari et al (2022b) extended the cascade model, which describes user behavior in ranked search result lists (Craswell et al, 2008). Contrary to the above assumption, this resulted in a carousel click model that simulates user interaction under the premise that before users begin to examine the items, they explore vertically until they find a collection with a label that catches their attention.…”

Section: Algorithms Metrics and Models For Carousel Recommendationsmentioning

confidence: 99%

Reviews in Recommender Systems: 2022

2024

Frontiers Research Topics

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Frontiers is more than just an open access publisher of scholarly articles: it is a pioneering approach to the world of academia, radically improving the way scholarly research is managed. The grand vision of Frontiers is a world where all people have an equal opportunity to seek, share and generate knowledge. Frontiers provides immediate and permanent online open access to all its publications, but this alone is not enough to realize our grand goals. Frontiers journal seriesThe Frontiers journal series is a multi-tier and interdisciplinary set of openaccess, online journals, promising a paradigm shift from the current review, selection and dissemination processes in academic publishing. All Frontiers journals are driven by researchers for researchers; therefore, they constitute a service to the scholarly community. At the same time, the Frontiers journal series operates on a revolutionary invention, the tiered publishing system, initially addressing specific communities of scholars, and gradually climbing up to broader public understanding, thus serving the interests of the lay society, too. Dedication to qualityEach Frontiers article is a landmark of the highest quality, thanks to genuinely collaborative interactions between authors and review editors, who include some of the world's best academicians. Research must be certified by peers before entering a stream of knowledge that may eventually reach the public -and shape society; therefore, Frontiers only applies the most rigorous and unbiased reviews. Frontiers revolutionizes research publishing by freely delivering the most outstanding research, evaluated with no bias from both the academic and social point of view. By applying the most advanced information technologies, Frontiers is catapulting scholarly publishing into a new generation. What are Frontiers Research Topics?Frontiers Research Topics are very popular trademarks of the Frontiers journals series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area.

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Section: Algorithms Metrics and Models For Carousel Recommendationsmentioning

confidence: 99%

Reviews in Recommender Systems: 2022

2024

Frontiers Research Topics

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“…Finally, Rahdari et al ( 2022b ) extended the cascade model, which describes user behavior in ranked search result lists (Craswell et al, 2008 ). Contrary to the above assumption, this resulted in a carousel click model that simulates user interaction under the premise that before users begin to examine the items, they explore vertically until they find a collection with a label that catches their attention.…”

Section: Multi-list Recommender Interfaces: An Overviewmentioning

confidence: 99%

Multi-list interfaces for recommender systems: survey and future directions

Loepp

2023

Front. Big Data

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For a long time, recommender systems presented their results in the form of simple item lists. In recent years, however, multi-list interfaces have become the de-facto standard in industry, presenting users with numerous collections of recommendations, one below the other, each containing items with common characteristics. Netflix's interface, for instance, shows movies from certain genres, new releases, and lists of curated content. Spotify recommends new songs and albums, podcasts on specific topics, and what similar users are listening to. Despite their popularity, research on these so-called “carousels” is still limited. Few authors have investigated how to simulate the user behavior and how to optimize the recommendation process accordingly. The number of studies involving users is even smaller, with sometimes conflicting results. Consequently, little is known about how to design carousel-based interfaces for achieving the best user experience. This mini review aims to organize the existing knowledge and outlines directions that may improve the multi-list presentation of recommendations in the future.

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Interactive Recommendation Systems

Ziegler,

Loepp

2023

Handbook of Human Computer Interaction

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The Magic of Carousels: Single vs. Multi-List Recommender Systems

Cited by 9 publications

References 28 publications

Reviews in Recommender Systems: 2022

Reviews in Recommender Systems: 2022

Multi-list interfaces for recommender systems: survey and future directions

Interactive Recommendation Systems

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