Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention.
Ziru Liu|Shuchang Liu|Zijian Zhang|Qingpeng Cai|Xiangyu Zhao|Kesen Zhao|Lantao Hu|Peng Jiang|Kun Gai
| Anthology ID: | DBLP:conf/sigir/Liu0Z00ZH0G24 |
|---|---|
| Volume: | Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024 |
| Year: | 2024 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 1872-1882 |
| URL: | https://doi.org/10.1145/3626772.3657829 |
| DOI: | https://doi.org/10.1145/3626772.3657829 |
| DBLP: | conf/sigir/Liu0Z00ZH0G24 |
| BibTeX: |
@inproceedings{liu-2024-sequential,
author = {Ziru Liu and
Shuchang Liu and
Zijian Zhang and
Qingpeng Cai and
Xiangyu Zhao and
Kesen Zhao and
Lantao Hu and
Peng Jiang and
Kun Gai},
editor = {Grace Hui Yang and
Hongning Wang and
Sam Han and
Claudia Hauff and
Guido Zuccon and
Yi Zhang},
title = {{Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention}},
booktitle = {{Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024}},
pages = {1872--1882},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3626772.3657829},
doi = {https://doi.org/10.1145/3626772.3657829}
}