Collaborative filtering for massive multinomial data

DOI10.1080/02664763.2013.847072OpenAlexW2008787146MaRDI QIDQ5128616

Andrew Cron, Deepak Agarwal, Liang Zhang

Publication date: 28 October 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2013.847072

zbMATH Keywords

hierarchical modelingcollaborative filteringrecommender systemsstochastic gradient descenttensor factorizationmultinomial response

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

A Logistic Factorization Model for Recommender Systems With Multinomial Responses

Uses Software

• HOGWILD

Cites Work

• Adaptive stochastic gradient descent optimisation for image registration
• Large-Scale Machine Learning with Stochastic Gradient Descent
• A stochastic gradient adaptive filter with gradient adaptive step size
• Convergence and efficiency of subgradient methods for quasiconvex minimization

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