基于KERL模型实现用户行为序列推荐任务.zip

[{"title":"（ 32 个子文件 9.95MB ） 基于KERL模型实现用户行为序列推荐任务.zip","children":[{"title":"datasets","children":[{"title":"Beauty_item_mapping.pkl <span style='color:#111;'> 235.63KB </span>","children":null,"spread":false},{"title":"Beauty_user_mapping.pkl <span style='color:#111;'> 517.96KB </span>","children":null,"spread":false},{"title":"item_idx_list.txt <span style='color:#111;'> 56.53KB </span>","children":null,"spread":false},{"title":"src","children":[{"title":"eval_metrics.py <span style='color:#111;'> 2.76KB </span>","children":null,"spread":false},{"title":"utils.py <span style='color:#111;'> 9.36KB </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"utils.cpython-37.pyc <span style='color:#111;'> 5.68KB </span>","children":null,"spread":false},{"title":"DynamicGRU.cpython-37.pyc <span style='color:#111;'> 1.44KB </span>","children":null,"spread":false},{"title":"interactions.cpython-37.pyc <span style='color:#111;'> 7.19KB </span>","children":null,"spread":false},{"title":"Dataset.cpython-37.pyc <span style='color:#111;'> 4.28KB </span>","children":null,"spread":false},{"title":"BasicModule.cpython-37.pyc <span style='color:#111;'> 1.93KB </span>","children":null,"spread":false},{"title":"KERL.cpython-37.pyc <span style='color:#111;'> 4.20KB </span>","children":null,"spread":false},{"title":"eval_metrics.cpython-37.pyc <span style='color:#111;'> 2.72KB </span>","children":null,"spread":false}],"spread":true},{"title":"interactions.py <span style='color:#111;'> 10.34KB </span>","children":null,"spread":false},{"title":"Dataset.py <span style='color:#111;'> 5.10KB </span>","children":null,"spread":false},{"title":"DynamicGRU.py <span style='color:#111;'> 2.07KB </span>","children":null,"spread":false},{"title":"BasicModule.py <span style='color:#111;'> 1.61KB </span>","children":null,"spread":false},{"title":".ipynb_checkpoints","children":[{"title":"KERL-checkpoint.py <span style='color:#111;'> 6.43KB </span>","children":null,"spread":false},{"title":"Dataset-checkpoint.py <span style='color:#111;'> 5.10KB </span>","children":null,"spread":false},{"title":"utils-checkpoint.py <span style='color:#111;'> 9.36KB </span>","children":null,"spread":false},{"title":"BasicModule-checkpoint.py <span style='color:#111;'> 1.61KB </span>","children":null,"spread":false},{"title":"eval_metrics-checkpoint.py <span style='color:#111;'> 2.76KB </span>","children":null,"spread":false},{"title":"DynamicGRU-checkpoint.py <span style='color:#111;'> 2.07KB </span>","children":null,"spread":false}],"spread":true},{"title":"KERL.py <span style='color:#111;'> 6.43KB </span>","children":null,"spread":false}],"spread":true},{"title":"Beauty.txt <span style='color:#111;'> 4.33MB </span>","children":null,"spread":false},{"title":"Beauty_item_sequences.pkl <span style='color:#111;'> 751.30KB </span>","children":null,"spread":false},{"title":"embedding.txt <span style='color:#111;'> 8.69MB </span>","children":null,"spread":false},{"title":"user_idx_list.txt <span style='color:#111;'> 18.11KB </span>","children":null,"spread":false},{"title":"idxseq.txt <span style='color:#111;'> 281.19KB </span>","children":null,"spread":false},{"title":"Amazon","children":[{"title":"Beauty","children":[{"title":"Beauty_item_mapping.pkl <span style='color:#111;'> 235.63KB </span>","children":null,"spread":false},{"title":"Beauty_user_mapping.pkl <span style='color:#111;'> 517.96KB </span>","children":null,"spread":false},{"title":"Beauty_item_sequences.pkl <span style='color:#111;'> 751.30KB </span>","children":null,"spread":false},{"title":"embedding.txt <span style='color:#111;'> 8.69MB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}],"spread":true}]