alittlebitcool
alittlebitcool
如题,我已经训练出了User的Embedding和Item的Embedding,在官网的api中《Load Pre-trained Embedding》只给出了User的情况,请问我两者都有该怎么训练呢?item侧的参数没有给出,我不知道如何去调。
运行set-up脚本的时候提示需要python3.8版本装不上是为什么?
如题,在用全量数据进行训练的时候,我发现训练结论总是在baseline的10%左右。效率是不是有点低了?
总是报错这个问题: Traceback (most recent call last): File "/home/izuna/zyx/RecBole-GNN-main/run_recbole_gnn.py", line 19, in run_recbole_gnn(model=args.model, dataset=args.dataset, config_file_list=config_file_list) File "/home/izuna/zyx/RecBole-GNN-main/recbole_gnn/quick_start.py", line 48, in run_recbole_gnn best_valid_score, best_valid_result = trainer.fit( File "/home/izuna/zyx/rec/recbole/trainer/trainer.py", line 466, in fit...
推荐系统里的召回和排序流程可以在recbole里实现吗?我希望通过dssm等召回算法召回的项目,使用如DeepFM等算法进行排序。
Hi! Are there any plans to implement [SENet] for context recommendation? Perhaps this implementation is a good reference: https://github.com/moskomule/senet.pytorch. If there are no ressources for this, I could come forward...
I use the admin as the username and password,but it's wrong