we propose MoL-TSR, which stands for Mixture-of-LoRAs model for Transferable Sequential Recommendation. Aiming to serve for not only different downstream domains, but also various downstream models.
recbole>=1.1.1
python>=3.9.7
cudatoolkit>=11.3.1
pytorch>=1.11.0
numpy>=1.21.6
cupy>=11.6.0
tqdm>=4.64.1
Our code is based on the implementation of MISSRec and RecBole.
If you have any question, you can raise an issue or email Wenqi Sun (wenqisun@ruc.edu.cn). We will reply you soon.