Gaussian-Gamma collaborative filtering: a hierarchical Bayesian model for recommender systems

DOI10.1016/j.jcss.2017.03.007zbMath1421.68156OpenAlexW2609955288MaRDI QIDQ1741490

Yang Xiang, Man Qi, Bo Zhang, Cheng Luo

Publication date: 3 May 2019

Published in: Journal of Computer and System Sciences (Search for Journal in Brave)

Full work available at URL: http://create.canterbury.ac.uk/16806/1/16806_The%20Gaussian-Gamma%20Collaborative%20Filtering%20-%20Man%20Qi%20%28002%29.pdf

zbMATH Keywords

performance evaluationGibbs samplinghierarchical Bayesian modelrecommender systemGaussian-Gamma distribution

Mathematics Subject Classification ID

Bayesian inference (62F15) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)

Uses Software

• AdaBoost.MH
• PMTK
• PRMLT

Cites Work

• Bayesian polynomial regression models to fit multiple genetic models for quantitative traits
• General state space Markov chains and MCMC algorithms
• Principles and theory for data mining and machine learning
• Simple conditions for the convergence of the Gibbs sampler and Metropolis-Hastings algorithms
• Inference with normal-gamma prior distributions in regression problems
• Scheduling Precedence Constrained Stochastic Tasks on Heterogeneous Cluster Systems
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Gaussian-Gamma collaborative filtering: a hierarchical Bayesian model for recommender systems