Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention.

Dae Hoon Park|Ziru Liu|Shuchang Liu|Yi Fang|Dae Hoon Park|Ziru Liu|Zijian Zhang|Shuchang Liu|Yi Fang|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{park-2024-sequential, author = {Dae Hoon Park and Ziru Liu and Shuchang Liu and Yi Fang and Dae Hoon Park and Ziru Liu and Zijian Zhang and Shuchang Liu and Yi Fang 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} }