Revisiting BPR: A Replicability Study of a Common Recommender System Baseline
Bayesian Personalized Ranking (BPR), a collaborative filtering approach based on matrix
factorization, frequently serves as a benchmark for recommender systems research …
factorization, frequently serves as a benchmark for recommender systems research …
[PDF][PDF] Revisiting BPR: A Replicability Study of a Common Recommender System Baseline
A Milogradskii, O Lashinin, P Alexander, M Ananyeva… - 2024 - publications.hse.ru
ABSTRACT Bayesian Personalized Ranking (BPR), a collaborative filtering approach based
on matrix factorization, frequently serves as a benchmark for recommender systems …
on matrix factorization, frequently serves as a benchmark for recommender systems …
Revisiting BPR: A Replicability Study of a Common Recommender System Baseline
A Milogradskii, O Lashinin, M Ananyeva… - arXiv e …, 2024 - ui.adsabs.harvard.edu
Abstract Bayesian Personalized Ranking (BPR), a collaborative filtering approach based on
matrix factorization, frequently serves as a benchmark for recommender systems research …
matrix factorization, frequently serves as a benchmark for recommender systems research …
Revisiting BPR: A Replicability Study of a Common Recommender System Baseline
A Milogradskii, O Lashinin, M Ananyeva… - arXiv preprint arXiv …, 2024 - arxiv.org
Bayesian Personalized Ranking (BPR), a collaborative filtering approach based on matrix
factorization, frequently serves as a benchmark for recommender systems research …
factorization, frequently serves as a benchmark for recommender systems research …