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On Sampling Collaborative Filtering Datasets

On Sampling Collaborative Filtering Datasets

Web Search and Data Mining (WSDM), 2022
13 January 2022
Noveen Sachdeva
Carole-Jean Wu
Julian McAuley
ArXiv (abs)PDFHTML

Papers citing "On Sampling Collaborative Filtering Datasets"

8 / 8 papers shown
What Data is Really Necessary? A Feasibility Study of Inference Data Minimization for Recommender Systems
What Data is Really Necessary? A Feasibility Study of Inference Data Minimization for Recommender Systems
Jens Leysen
Marco Favier
Bart Goethals
128
0
0
29 Aug 2025
Farzi Data: Autoregressive Data Distillation
Farzi Data: Autoregressive Data Distillation
Noveen Sachdeva
Zexue He
Wang-Cheng Kang
Jianmo Ni
D. Cheng
Julian McAuley
DD
331
4
0
15 Oct 2023
When Newer is Not Better: Does Deep Learning Really Benefit
  Recommendation From Implicit Feedback?
When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback?Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Yushun Dong
Jundong Li
Tobias Schnabel
309
14
0
02 May 2023
Data Distillation: A Survey
Data Distillation: A Survey
Noveen Sachdeva
Julian McAuley
DD
483
101
0
11 Jan 2023
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation
DaisyRec 2.0: Benchmarking Recommendation for Rigorous EvaluationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Zhu Sun
Hui Fang
Jie Yang
Xinghua Qu
Hongyang Liu
Di Yu
Yew-Soon Ong
Jie M. Zhang
345
47
0
22 Jun 2022
Infinite Recommendation Networks: A Data-Centric Approach
Infinite Recommendation Networks: A Data-Centric ApproachNeural Information Processing Systems (NeurIPS), 2022
Noveen Sachdeva
Mehak Preet Dhaliwal
Carole-Jean Wu
Julian McAuley
DD
374
33
0
03 Jun 2022
The Unfairness of Active Users and Popularity Bias in Point-of-Interest
  Recommendation
The Unfairness of Active Users and Popularity Bias in Point-of-Interest RecommendationInternational Workshop on Algorithmic Bias in Search and Recommendation (ABSR), 2022
Hossein A. Rahmani
Yashar Deldjoo
Ali Tourani
Mohammadmehdi Naghiaei
FaML
273
28
0
27 Feb 2022
Unbiased Loss Functions for Multilabel Classification with Missing
  Labels
Unbiased Loss Functions for Multilabel Classification with Missing Labels
Erik Schultheis
Rohit Babbar
266
6
0
23 Sep 2021
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