Co-clustering for Fair Recommendation
Authors:
- 1 January 2021
- book chapter
- Published by Springer Nature
- p. 607-630
Abstract
No abstract availableKeywords
This publication has 19 references indexed in Scilit:
- IR evaluation methods for retrieving highly relevant documentsACM SIGIR Forum, 2017
- EM for mixturesStatistics and Computing, 2015
- Estimation and selection for the latent block model on categorical dataStatistics and Computing, 2014
- Model selection for Gaussian latent block clustering with the integrated classification likelihoodAdvances in Data Analysis and Classification, 2014
- Precision-oriented evaluation of recommender systems2011
- Latent Block Model for Contingency TableCommunications in Statistics - Theory and Methods, 2010
- Block clustering with Bernoulli mixture models: Comparison of different approachesComputational Statistics & Data Analysis, 2008
- Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture modelsComputational Statistics & Data Analysis, 2003
- Analyzing Ordered Responses: A Review of the Ordered Probit ModelUnderstanding Statistics, 2002
- Inference and missing dataBiometrika, 1976