Simultaneous Preference and Metric Learning from Paired Comparisons

Austin Xu; Mark Davenport

NeurIPS 2020spotlight22 citations

Simultaneous Preference and Metric Learning from Paired Comparisons

Abstract

A popular model of preference in the context of recommendation systems is the so-called ideal point model. In this model, a user is represented as a vector u together with a collection of items x

BibTeX

@inproceedings{NEURIPS2020_0561bc7e,
 author = {Xu, Austin and Davenport, Mark},
 booktitle = {Advances in Neural Information Processing Systems},
 editor = {H. Larochelle and M. Ranzato and R. Hadsell and M.F. Balcan and H. Lin},
 pages = {454--465},
 publisher = {Curran Associates, Inc.},
 title = {Simultaneous Preference and Metric Learning from Paired Comparisons},
 url = {https://proceedings.neurips.cc/paper_files/paper/2020/file/0561bc7ecba98e39ca7994f93311ba23-Paper.pdf},
 volume = {33},
 year = {2020}
}