Fine-tuning Partition-aware Item Similarities for Efficient and Scalable Recommendation.
Tianjun Wei|Jianghong Ma|Tommy W. S. Chow
| Anthology ID: | DBLP:conf/www/WeiMC23 |
|---|---|
| Volume: | Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023 |
| Year: | 2023 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 823-832 |
| URL: | https://doi.org/10.1145/3543507.3583240 |
| DOI: | https://doi.org/10.1145/3543507.3583240 |
| DBLP: | conf/www/WeiMC23 |
| BibTeX: |
@inproceedings{wei-2023-finetuning,
author = {Tianjun Wei and
Jianghong Ma and
Tommy W. S. Chow},
editor = {Ying Ding and
Jie Tang and
Juan F. Sequeda and
Lora Aroyo and
Carlos Castillo and
Geert-Jan Houben},
title = {{Fine-tuning Partition-aware Item Similarities for Efficient and Scalable Recommendation}},
booktitle = {{Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}},
pages = {823--832},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3543507.3583240},
doi = {https://doi.org/10.1145/3543507.3583240}
}