Variational Bayesian inference for bipartite mixed-membership stochastic block model with applications to collaborative filtering-Reference-Cited by-同舟云学术

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Variational Bayesian inference for bipartite mixed-membership stochastic block model with applications to collaborative filtering

Published:2024-01 Issue: Volume:189 Page:107836
ISSN:0167-9473
Container-title:Computational Statistics & Data Analysis
language:en
Short-container-title:Computational Statistics & Data Analysis

Author:

Liu Jie,Ye Zifeng,Chen Kun,Zhang Panpan^ORCID

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference40 articles.

1. Recommender Systems;Aggarwal,2016

2. Mixed membership stochastic blockmodels;Airoldi;J. Mach. Learn. Res.,2008

3. Scalable collaborative filtering with jointly derived neighborhood interpolation weights;Bell,2007

4. User modeling for adaptive news access;Billsus;User Model. User-Adapt. Interact.,2000

5. Pattern Recognition and Machine Learning;Bishop,2006

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