D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems.
Jiarui Qin|Weiwen Liu|Weinan Zhang|Yong Yu
| Anthology ID: | DBLP:conf/www/QinL0025 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025 |
| Year: | 2025 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 472-482 |
| URL: | https://doi.org/10.1145/3696410.3714664 |
| DOI: | https://doi.org/10.1145/3696410.3714664 |
| DBLP: | conf/www/QinL0025 |
| BibTeX: |
@inproceedings{qin-2025-d2k,
author = {Jiarui Qin and
Weiwen Liu and
Weinan Zhang and
Yong Yu},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems}},
booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}},
pages = {472--482},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3696410.3714664},
doi = {https://doi.org/10.1145/3696410.3714664}
}