GLMix: Generalized Linear Mixed Models For Large-Scale Response Prediction
By Xianxing Zhang, Yitong Zhou, Yiming Ma, Bee-Chung Chen, L. Zhang, Deepak K. Agarwal. 2016
82 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems, Management Science and Operations Research
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Di Wang
- Matthew Goldman
- Justin M. Rao
- Mengting Wan
- Jie Liu
- Matt Taddy
- Julian McAuley
- Dimitrios Lymberopoulos
In Information Systems
- Di Wang
- Matthew Goldman
- Justin M. Rao
- Mengting Wan
- Jie Liu
- Matt Taddy
- Julian McAuley
- Dimitrios Lymberopoulos
In Management Science and Operations Research
- Di Wang
- Matthew Goldman
- Justin M. Rao
- Mengting Wan
- Jie Liu
- Matt Taddy
- Julian McAuley
- Dimitrios Lymberopoulos
Citations in the corpus
- Modeling Consumer Preferences and Price Sensitivities from Large-Scale Grocery Shopping Transaction Logs (2017, methodology): “Such ideas have been included in a recently proposed generalized linear mixed model (GLMix) [39], which has been deployed in the LinkedIn job recommender system with a scalable parallel block-wise coordinate descent algorithm.”