SuperRS: Multi Scenario Reciprocal-Aware Dual MoE for Unified Recommendation-Search Ranking.

Zihan Xia|Chuanyu Xu|Tao Zhang|Chengfu Huo


Anthology ID:DBLP:conf/sigir/XiaXZH25
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:4284-4288
URL:https://doi.org/10.1145/3726302.3731949
DOI:https://doi.org/10.1145/3726302.3731949
DBLP:conf/sigir/XiaXZH25
BibTeX:
@inproceedings{xia-2025-superrs, author = {Zihan Xia and Chuanyu Xu and Tao Zhang and Chengfu Huo}, editor = {Nicola Ferro and Maria Maistro and Gabriella Pasi and Omar Alonso and Andrew Trotman and Suzan Verberne}, title = {{SuperRS: Multi Scenario Reciprocal-Aware Dual MoE for Unified Recommendation-Search Ranking}}, 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 = {4284--4288}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3726302.3731949}, doi = {https://doi.org/10.1145/3726302.3731949} }