ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1212.2508
  4. Cited By
Collaborative Ensemble Learning: Combining Collaborative and
  Content-Based Information Filtering via Hierarchical Bayes

Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes

19 October 2012
Kai Yu
Anton Schwaighofer
Volker Tresp
Wei-Ying Ma
HongJiang Zhang
    FedML
ArXiv (abs)PDFHTML

Papers citing "Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes"

3 / 3 papers shown
Title
A novel Empirical Bayes with Reversible Jump Markov Chain in User-Movie
  Recommendation system
A novel Empirical Bayes with Reversible Jump Markov Chain in User-Movie Recommendation system
A. K. Dey
Himanshu Jhamb
BDL
16
0
0
15 Aug 2018
A Bayesian Approach toward Active Learning for Collaborative Filtering
A Bayesian Approach toward Active Learning for Collaborative Filtering
Rong Jin
Luo Si
FedML
87
130
0
11 Jul 2012
Multi-Domain Collaborative Filtering
Multi-Domain Collaborative Filtering
Yu Zhang
Bin Cao
Dit-Yan Yeung
113
178
0
15 Mar 2012
1