VK-LSVD: A Large-Scale Industrial Dataset for Short-Video Recommendation.
Aleksandr Poslavsky|Alexander D'yakonov|Yuriy Dorn|Andrey Zimovnov
| Anthology ID: | DBLP:conf/www/PoslavskyDDZ26 |
|---|---|
| Volume: | Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026. |
| Year: | 2026 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 8657-8660 |
| URL: | https://doi.org/10.1145/3774904.3792933 |
| DOI: | https://doi.org/10.1145/3774904.3792933 |
| DBLP: | conf/www/PoslavskyDDZ26 |
| BibTeX: |
@inproceedings{poslavsky-2026-vklsvd,
author = {Aleksandr Poslavsky and
Alexander D'yakonov and
Yuriy Dorn and
Andrey Zimovnov},
editor = {Hakim Hacid and
Yoelle Maarek and
Francesco Bonchi and
Ido Guy and
Emine Yilmaz},
title = {{VK-LSVD: A Large-Scale Industrial Dataset for Short-Video Recommendation}},
booktitle = {{Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026}},
pages = {8657--8660},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3774904.3792933},
doi = {https://doi.org/10.1145/3774904.3792933}
}