Understanding User Behavior in Carousel Recommendation Systems for Click Modeling and Learning to Rank

4 July 2023

Papers citing "Understanding User Behavior in Carousel Recommendation Systems for Click Modeling and Learning to Rank"

10 / 10 papers shown

Title
Eye Tracking as a Source of Implicit Feedback in Recommender Systems: A Preliminary Analysis Santiago de Leon-Martinez Robert Moro Maria Bielikova 41 3 0 12 May 2023
From Ranked Lists to Carousels: A Carousel Click Model Behnam Rahdari Branislav Kveton Peter Brusilovsky CML LRM 44 4 0 27 Sep 2022
Page-level Optimization of e-Commerce Item Recommendations Chieh Lo Hongliang Yu Xin Yin Krutika Shetty Changchen He Kathy Hu Justin Platz Adam Ilardi S. Madhvanath 42 11 0 12 Aug 2021
Measuring the User Satisfaction in a Recommendation Interface with Multiple Carousels Nicolò Felicioni Maurizio Ferrari Dacrema Paolo Cremonesi 45 5 0 14 May 2021
A Methodology for the Offline Evaluation of Recommender Systems in a User Interface with Multiple Carousels Nicolò Felicioni Maurizio Ferrari Dacrema Paolo Cremonesi 41 19 0 13 May 2021
Carousel Personalization in Music Streaming Apps with Contextual Bandits Walid Bendada Guillaume Salha-Galvan Théo Bontempelli 53 57 0 14 Sep 2020
Learning to Rank in the Position Based Model with Bandit Feedback Beyza Ermis P. Ernst Yannik Stein Giovanni Zappella OffRL 23 18 0 27 Apr 2020
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research Maurizio Ferrari Dacrema Simone Boglio Paolo Cremonesi Dietmar Jannach 56 198 0 18 Nov 2019
Variational Autoencoders for Collaborative Filtering Dawen Liang Rahul G. Krishnan Matthew D. Hoffman Tony Jebara BDL 190 1,243 0 16 Feb 2018
Unbiased Learning-to-Rank with Biased Feedback Thorsten Joachims Adith Swaminathan Tobias Schnabel CML 95 541 0 16 Aug 2016