ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems.

Haibo Xing|Kanefumi Matsuyama|Hao Deng|Jinxin Hu|Yu Zhang|Xiaoyi Zeng


Anthology ID:DBLP:conf/www/XingMDHZZ25
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:462-471
URL:https://doi.org/10.1145/3696410.3714600
DOI:https://doi.org/10.1145/3696410.3714600
DBLP:conf/www/XingMDHZZ25
BibTeX:
@inproceedings{xing-2025-esans, author = {Haibo Xing and Kanefumi Matsuyama and Hao Deng and Jinxin Hu and Yu Zhang and Xiaoyi Zeng}, editor = {Guodong Long and Michale Blumestein and Yi Chang and Liane Lewin-Eytan and Zi Huang and Elad Yom-Tov}, title = {{ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems}}, booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}}, pages = {462--471}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3696410.3714600}, doi = {https://doi.org/10.1145/3696410.3714600} }