Variational User Modeling with Slow and Fast Features.
Ghazal Fazelnia|Eric Simon|Ian Anderson|Benjamin A. Carterette|Mounia Lalmas
| Anthology ID: | DBLP:conf/wsdm/FazelniaS0CL22 |
|---|---|
| Volume: | WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022 |
| Year: | 2022 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 271-279 |
| URL: | https://doi.org/10.1145/3488560.3498477 |
| DOI: | https://doi.org/10.1145/3488560.3498477 |
| DBLP: | conf/wsdm/FazelniaS0CL22 |
| BibTeX: |
@inproceedings{fazelnia-2022-variational,
author = {Ghazal Fazelnia and
Eric Simon and
Ian Anderson and
Benjamin A. Carterette and
Mounia Lalmas},
editor = {K. Sel\c{c}uk Candan and
Huan Liu and
Leman Akoglu and
Xin Dong and
Jiliang Tang},
title = {{Variational User Modeling with Slow and Fast Features}},
booktitle = {{WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022}},
pages = {271--279},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3488560.3498477},
doi = {https://doi.org/10.1145/3488560.3498477}
}