Enhancing Domain-Level and User-Level Adaptivity in Diversified Recommendation.
Yile Liang|Tieyun Qian|Qing Li|Hongzhi Yin
| Anthology ID: | DBLP:conf/sigir/LiangQLY21 |
|---|---|
| Volume: | SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021 |
| Year: | 2021 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 747-756 |
| URL: | https://doi.org/10.1145/3404835.3462957 |
| DOI: | https://doi.org/10.1145/3404835.3462957 |
| DBLP: | conf/sigir/LiangQLY21 |
| BibTeX: |
@inproceedings{liang-2021-enhancing,
author = {Yile Liang and
Tieyun Qian and
Qing Li and
Hongzhi Yin},
editor = {Fernando Diaz and
Chirag Shah and
Torsten Suel and
Pablo Castells and
Rosie Jones and
Tetsuya Sakai},
title = {{Enhancing Domain-Level and User-Level Adaptivity in Diversified Recommendation}},
booktitle = {{SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021}},
pages = {747--756},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3404835.3462957},
doi = {https://doi.org/10.1145/3404835.3462957}
}