M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework.

Zijian Zhang|Shuchang Liu|Jiaao Yu|Qingpeng Cai|Xiangyu Zhao|Chunxu Zhang|Ziru Liu|Qidong Liu|Hongwei Zhao|Lantao Hu|Peng Jiang|Kun Gai


Anthology ID:DBLP:conf/sigir/Zhang0Y00ZLLZH024
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:893-902
URL:https://doi.org/10.1145/3626772.3657686
DOI:https://doi.org/10.1145/3626772.3657686
DBLP:conf/sigir/Zhang0Y00ZLLZH024
BibTeX:
@inproceedings{zhang-2024-m3oe, author = {Zijian Zhang and Shuchang Liu and Jiaao Yu and Qingpeng Cai and Xiangyu Zhao and Chunxu Zhang and Ziru Liu and Qidong Liu and Hongwei 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 = {{M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework}}, 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 = {893--902}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3626772.3657686}, doi = {https://doi.org/10.1145/3626772.3657686} }