Research paper
Crossan: Towards Efficient and Effective Adaptation of Multiple Multimodal Foundation Models for Sequential Recommendation
arXiv preprint
Abstract
The complete author-written abstract has not yet been supplied to this site. The verified publication metadata and primary source are available below; experimental claims should be checked against that source.
Citation
@article{2025-crossan,
title = {Crossan: Towards Efficient and Effective Adaptation of Multiple Multimodal Foundation Models for Sequential Recommendation},
author = {J Fu and Y Ni and JM Jose and I Arapakis and K Zheng and Y Li and X Ge},
year = {2025},
journal = {arXiv preprint},
eprint = {2504.10307},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2504.10307},
}