MixRec: Individual and Collective Mixing Empowers Data Augmentation for Recommender Systems.

Yi Zhang|Yiwen Zhang


Anthology ID:DBLP:conf/www/ZhangZ25
Volume:Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025
Year:2025
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:2198-2208
URL:https://doi.org/10.1145/3696410.3714565
DOI:https://doi.org/10.1145/3696410.3714565
DBLP:conf/www/ZhangZ25
BibTeX:
@inproceedings{zhang-2025-mixrec, author = {Yi Zhang and Yiwen Zhang}, editor = {Guodong Long and Michale Blumestein and Yi Chang and Liane Lewin-Eytan and Zi Huang and Elad Yom-Tov}, title = {{MixRec: Individual and Collective Mixing Empowers Data Augmentation for Recommender Systems}}, booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}}, pages = {2198--2208}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3696410.3714565}, doi = {https://doi.org/10.1145/3696410.3714565} }