Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation.

Yizhou Dang|Yuting Liu|Enneng Yang|Minhan Huang|Guibing Guo|Jianzhe Zhao|Xingwei Wang


Anthology ID:DBLP:conf/sigir/Dang0YHGZ025
Volume:Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
Year:2025
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:1466-1475
URL:https://doi.org/10.1145/3726302.3729943
DOI:https://doi.org/10.1145/3726302.3729943
DBLP:conf/sigir/Dang0YHGZ025
BibTeX:
@inproceedings{dang-2025-data, author = {Yizhou Dang and Yuting Liu and Enneng Yang and Minhan Huang and Guibing Guo and Jianzhe Zhao and Xingwei Wang}, editor = {Nicola Ferro and Maria Maistro and Gabriella Pasi and Omar Alonso and Andrew Trotman and Suzan Verberne}, title = {{Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation}}, booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}}, pages = {1466--1475}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3726302.3729943}, doi = {https://doi.org/10.1145/3726302.3729943} }