Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems from a Multi-task Perspective.

Yuan Zhang|Xue Dong|Weijie Ding|Biao Li|Peng Jiang|Kun Gai


Anthology ID:DBLP:conf/www/ZhangDDLJG23
Volume:Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023
Year:2023
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:366-370
URL:https://doi.org/10.1145/3543873.3584629
DOI:https://doi.org/10.1145/3543873.3584629
DBLP:conf/www/ZhangDDLJG23
BibTeX:
@inproceedings{zhang-2023-divide, author = {Yuan Zhang and Xue Dong and Weijie Ding and Biao Li and Peng Jiang and Kun Gai}, editor = {Ying Ding and Jie Tang and Juan F. Sequeda and Lora Aroyo and Carlos Castillo and Geert-Jan Houben}, title = {{Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems from a Multi-task Perspective}}, booktitle = {{Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023}}, pages = {366--370}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3543873.3584629}, doi = {https://doi.org/10.1145/3543873.3584629} }