Recommending-the-Recommenders:使用基于统一内容的协作过滤（CCCFNet模型）为跨域推荐系统找到相...
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2021-05-13
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Recommending-the-Recommenders-master.zip （48个子文件） 
Recommending-the-Recommenders-master models 
deepFM.py 17KB bmf.py 6KB data 
userbook_unique_compactid_train.txt 1.73MB userbook_unique_compactid_test.txt 383KB __init__.py 2B
S1_4_and_S5.zip 7.46MB demodata.fieldwise.txt 7.07MB userbook_unique_compactid_valid.txt 378KB movielens_100k.pkl 3.64MB __init__.py 1B ccf_net.py 11KB NeuralCF_tensorflow models NeuMF.py 2KB main.py 2KB BaseModel.py 4KB utils.py 2KB MLP.py 3KB evaluation.py 1KB GMF.py 2KB dataio ImpDataset.py 3KB ccf_net_2.py 11KB Data ml-1m test.tsv 131KB test.negative.tsv 2.76MB train.tsv 20.96MB RNN-News-RecSys.py 393B deepFM_BOW.py 24KB dataio data_reader.py 16KB __init__.pyc 0B __pycache__ data_reader.cpython-35.pyc 10KB __init__.cpython-35.pyc 156B data_reader.cpython-36.pyc 9KB __init__.cpython-36.pyc 159B __init__.py 1B 3 - CMF.ipynb 6KB docs _config.yml 44B
Poster.pdf 1.25MB Recommending_The_Recommenders_Proposal.pdf 108KB README.md 195B ccf_net_cross.py 18KB ccf_net_new.py 11KB get_pkl_amazon.py 0B slurm_CCF.slurm 1KB cross_movielens_100k.pkl 2.88MB MovieLens Pickle Reader.ipynb 17KB BPR.ipynb 3KB 2 - SVD.ipynb 4KB ccf_net.py 11KB MovieLens Data Exploration.ipynb 54KB get_pkl.py 8KB
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