most citedRiding the Carousel: The First Extensive Eye Tracking Analysis of Browsing Behavior in Carousel Recommenders

2 citations · 2 across the 2 of their papers we have counts for

collaborators

6 papers

cs.IR2026

Revisiting N2DCG: An Empirically Grounded Reformulation of Carousel Recommendation Evaluation

Jingwei Kang, Santiago de Leon-Martinez, Maarten de Rijke +1

Carousel interfaces have been widely used in video and music streaming services, yet it remains unclear how to properly evaluate recommender systems in these two-dimensional layout…

cs.IR2026

From Latent to Observable Position-Based Click Models in Carousel Interfaces

Santiago de Leon-Martinez, Robert Moro, Branislav Kveton +1

Click models are a central component of learning and evaluation in recommender systems, yet most existing models are designed for single ranked list interfaces. In contrast, modern…

cs.IR20262 cited

Riding the Carousel: The First Extensive Eye Tracking Analysis of Browsing Behavior in Carousel Recommenders

Santiago de Leon-Martinez, Robert Moro, Branislav Kveton +1

Carousels have become the de-facto standard user interface in online services. However, there is a lack of research in carousels, particularly examining how recommender systems may…

cs.IR2025

Rethinking Click Models in Light of Carousel Interfaces: Theory-Based Categorization and Design of Click Models

Jingwei Kang, Maarten de Rijke, Santiago de Leon-Martinez +1

Click models are a well-established for modeling user interactions with web interfaces. Previous work has mainly focused on traditional single-list web search settings; this includ…

cs.IR2025

RecGaze: The First Eye Tracking and User Interaction Dataset for Carousel Interfaces

Santiago de Leon-Martinez, Jingwei Kang, Robert Moro +4

Carousel interfaces are widely used in e-commerce and streaming services, but little research has been devoted to them. Previous studies of interfaces for presenting search and rec…

cs.LG2025

Overshoot: Taking advantage of future gradients in momentum-based stochastic optimization

Jakub Kopal, Michal Gregor, Santiago de Leon-Martinez +1

Overshoot is a novel, momentum-based stochastic gradient descent optimization method designed to enhance performance beyond standard and Nesterov's momentum. In conventional moment…