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Regret Bounds and Regimes of Optimality for User-User and Item-Item
  Collaborative Filtering
v1v2 (latest)

Regret Bounds and Regimes of Optimality for User-User and Item-Item Collaborative Filtering

6 November 2017
Guy Bresler
Mina Karzand
ArXiv (abs)PDFHTML

Papers citing "Regret Bounds and Regimes of Optimality for User-User and Item-Item Collaborative Filtering"

7 / 7 papers shown
Title
Explaining the Success of Nearest Neighbor Methods in Prediction
George H. Chen
Devavrat Shah
OOD
600
148
0
21 Feb 2025
Adversarial Online Collaborative Filtering
Adversarial Online Collaborative Filtering
Stephen Pasteris
Fabio Vitale
Mark Herbster
Claudio Gentile
Andre' Panisson
80
0
0
11 Feb 2023
Optimal Algorithms for Latent Bandits with Cluster Structure
Optimal Algorithms for Latent Bandits with Cluster Structure
S. Pal
A. Suggala
Karthikeyan Shanmugam
Prateek Jain
74
9
0
17 Jan 2023
Online Low Rank Matrix Completion
Online Low Rank Matrix Completion
Prateek Jain
S. Pal
66
9
0
08 Sep 2022
Learning User Preferences in Non-Stationary Environments
Learning User Preferences in Non-Stationary Environments
Wasim Huleihel
S. Pal
O. Shayevitz
119
13
0
29 Jan 2021
Regret in Online Recommendation Systems
Regret in Online Recommendation Systems
Kaito Ariu
Narae Ryu
Seyoung Yun
Alexandre Proutiere
60
6
0
23 Oct 2020
Recommendation System-based Upper Confidence Bound for Online
  Advertising
Recommendation System-based Upper Confidence Bound for Online Advertising
Nhan Nguyen-Thanh
D. Marinca
K. Khawam
D. Rohde
Flavian Vasile
E. Lohan
Steven Martin
Dominique Quadri
OffRL
48
13
0
09 Sep 2019
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