Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"
Thanks for this nice work!
I follow README.md, install the required package and run:
python3 main.py
but the best performance achievable on ml1m dataset is HR@10 = 0.7569, NDCG@10 = 0.5040 which is lower than the result in paper.
Is it possible my environment problem?
Python: 3.6.13 , Tensorflow:1.15.4
Thanks for this nice work! I follow README.md, install the required package and run:
but the best performance achievable on ml1m dataset is HR@10 = 0.7569, NDCG@10 = 0.5040 which is lower than the result in paper. Is it possible my environment problem? Python: 3.6.13 , Tensorflow:1.15.4