Long-Term Interest Clock: Fine-Grained Time Perception in Streaming Recommendation System.
Yongchun Zhu|Guanyu Jiang|Jingwu Chen|Feng Zhang|Qi Wu|Zuotao Liu
| Anthology ID: | DBLP:conf/www/ZhuJCZ0L25 |
|---|---|
| Volume: | Companion 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: | 1554-1557 |
| URL: | https://doi.org/10.1145/3701716.3715481 |
| DOI: | https://doi.org/10.1145/3701716.3715481 |
| DBLP: | conf/www/ZhuJCZ0L25 |
| BibTeX: |
@inproceedings{zhu-2025-longterm,
author = {Yongchun Zhu and
Guanyu Jiang and
Jingwu Chen and
Feng Zhang and
Qi Wu and
Zuotao Liu},
editor = {Guodong Long and
Michale Blumestein and
Yi Chang and
Liane Lewin-Eytan and
Zi Huang and
Elad Yom-Tov},
title = {{Long-Term Interest Clock: Fine-Grained Time Perception in Streaming Recommendation System}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}},
pages = {1554--1557},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701716.3715481},
doi = {https://doi.org/10.1145/3701716.3715481}
}