On Sampling Collaborative Filtering Datasets

13 January 2022

Papers citing "On Sampling Collaborative Filtering Datasets"

9 / 9 papers shown

Title
Farzi Data: Autoregressive Data Distillation Noveen Sachdeva Zexue He Wang-Cheng Kang Jianmo Ni D. Cheng Julian McAuley DD 23 3 0 15 Oct 2023
When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback? Yushun Dong Jundong Li Tobias Schnabel 41 9 0 02 May 2023
Data Distillation: A Survey Noveen Sachdeva Julian McAuley DD 45 73 0 11 Jan 2023
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation Zhu Sun Hui Fang Jie Yang Xinghua Qu Hongyang Liu Di Yu Yew-Soon Ong Jie M. Zhang 26 34 0 22 Jun 2022
Infinite Recommendation Networks: A Data-Centric Approach Noveen Sachdeva Mehak Preet Dhaliwal Carole-Jean Wu Julian McAuley DD 33 28 0 03 Jun 2022
The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation Hossein A. Rahmani Yashar Deldjoo Ali Tourani Mohammadmehdi Naghiaei FaML 19 22 0 27 Feb 2022
Carbon Emissions and Large Neural Network Training David A. Patterson Joseph E. Gonzalez Quoc V. Le Chen Liang Lluís-Miquel Munguía D. Rothchild David R. So Maud Texier J. Dean AI4CE 253 645 0 21 Apr 2021
Semi-supervised Batch Active Learning via Bilevel Optimization Zalan Borsos Marco Tagliasacchi Andreas Krause 32 23 0 19 Oct 2020
Learning Attitudes and Attributes from Multi-Aspect Reviews Julian McAuley J. Leskovec Dan Jurafsky 200 296 0 15 Oct 2012