Yuan Zhang, Xue-dong, Weijie Ding, Biao Li, Peng Jiang, Kun Gai. Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems from a Multi-task Perspective. In Ying Ding 0001, Jie Tang 0001, Juan F. Sequeda, Lora Aroyo, Carlos Castillo 0001, Geert-Jan Houben, editors, Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023. pages 366-370, ACM, 2023. [doi]
@inproceedings{ZhangDDLJG23,
title = {Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems from a Multi-task Perspective},
author = {Yuan Zhang and Xue-dong and Weijie Ding and Biao Li and Peng Jiang and Kun Gai},
year = {2023},
doi = {10.1145/3543873.3584629},
url = {https://doi.org/10.1145/3543873.3584629},
researchr = {https://researchr.org/publication/ZhangDDLJG23},
cites = {0},
citedby = {0},
pages = {366-370},
booktitle = {Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023},
editor = {Ying Ding 0001 and Jie Tang 0001 and Juan F. Sequeda and Lora Aroyo and Carlos Castillo 0001 and Geert-Jan Houben},
publisher = {ACM},
isbn = {978-1-4503-9419-2},
}