KE-FedRS: Tackling Data Sparsity in Federated Recommendation via Knowledge Enhancement.

@inproceedings{bao-2026-kefedrs, author = {Jiayu Bao and Hongjian Shi and Guanyu Zhang and Rui Zhou and Haozhao Wang and Yuan Liu}, editor = {Hakim Hacid and Yoelle Maarek and Francesco Bonchi and Ido Guy and Emine Yilmaz}, title = {{KE-FedRS: Tackling Data Sparsity in Federated Recommendation via Knowledge Enhancement}}, booktitle = {{Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026}}, pages = {6137--6146}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3774904.3792267}, doi = {https://doi.org/10.1145/3774904.3792267} }