LOAM: Improving Long-tail Session-based Recommendation via Niche Walk Augmentation and Tail Session Mixup.

Heeyoon Yang|YunSeok Choi|Gahyung Kim|Jee-Hyong Lee


Anthology ID:DBLP:conf/sigir/YangCK023
Volume:Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023
Year:2023
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:527-536
URL:https://doi.org/10.1145/3539618.3591718
DOI:https://doi.org/10.1145/3539618.3591718
DBLP:conf/sigir/YangCK023
BibTeX:
@inproceedings{yang-2023-loam, author = {Heeyoon Yang and YunSeok Choi and Gahyung Kim and Jee-Hyong Lee}, editor = {Hsin-Hsi Chen and Wei-Jou (Edward) Duh and Hen-Hsen Huang and Makoto P. Kato and Josiane Mothe and Barbara Poblete}, title = {{LOAM: Improving Long-tail Session-based Recommendation via Niche Walk Augmentation and Tail Session Mixup}}, booktitle = {{Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023}}, pages = {527--536}, publisher = {ACM}, year = {2023}, url = {https://doi.org/10.1145/3539618.3591718}, doi = {https://doi.org/10.1145/3539618.3591718} }