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} }