Enhancing Recommendation Accuracy and Diversity with Box Embedding: A Universal Framework.

Cheng Wu|Shaoyun Shi|Chaokun Wang|Ziyang Liu|Wang Peng|Wenjin Wu|Dongying Kong|Han Li|Kun Gai


Anthology ID:DBLP:conf/www/WuSWLPWKLG24
Volume:Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024
Year:2024
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:3756-3766
URL:https://doi.org/10.1145/3589334.3645577
DOI:https://doi.org/10.1145/3589334.3645577
DBLP:conf/www/WuSWLPWKLG24
BibTeX:
@inproceedings{wu-2024-enhancing, author = {Cheng Wu and Shaoyun Shi and Chaokun Wang and Ziyang Liu and Wang Peng and Wenjin Wu and Dongying Kong and Han Li and Kun Gai}, editor = {Tat-Seng Chua and Chong-Wah Ngo and Ravi Kumar and Hady Wirawan Lauw and Roy Ka-Wei Lee}, title = {{Enhancing Recommendation Accuracy and Diversity with Box Embedding: A Universal Framework}}, booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}}, pages = {3756--3766}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3589334.3645577}, doi = {https://doi.org/10.1145/3589334.3645577} }