Review paper
Bayesian Inference via Variational Approximation for Collaborative Filtering
Abstract
Variational approximation method finds wide applicability in approximating difficult-to-compute probability distributions, a problem that is especially important in Bayesian inference to estimate posterior distributions. Latent factor model is a classical model-based collaborative filtering approach that explains the user-item association by characterizing both items and users on latent factors inferred from rating patterns. Due to the sparsity...
Paper Details
Title
Bayesian Inference via Variational Approximation for Collaborative Filtering
Published Date
Jun 27, 2018
Journal
Volume
49
Issue
3
Pages
1041 - 1054
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History