Leave No User Behind: Towards Improving the Utility of Recommender Systems for Non-mainstream Users.
Roger Zhe Li|Julián Urbano|Alan Hanjalic
| Anthology ID: | DBLP:conf/wsdm/LiUH21 |
|---|---|
| Volume: | WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021 |
| Year: | 2021 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 103-111 |
| URL: | https://doi.org/10.1145/3437963.3441769 |
| DOI: | https://doi.org/10.1145/3437963.3441769 |
| DBLP: | conf/wsdm/LiUH21 |
| BibTeX: |
@inproceedings{li-2021-leave,
author = {Roger Zhe Li and
Juli\'{a}n Urbano and
Alan Hanjalic},
editor = {Liane Lewin-Eytan and
David Carmel and
Elad Yom-Tov and
Eugene Agichtein and
Evgeniy Gabrilovich},
title = {{Leave No User Behind: Towards Improving the Utility of Recommender Systems for Non-mainstream Users}},
booktitle = {{WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021}},
pages = {103--111},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3437963.3441769},
doi = {https://doi.org/10.1145/3437963.3441769}
}