We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
请问Dataset.py中下面的嵌入如何获取,似乎是运行某个模型预训练得到的,期待你的回答。 best_user_embedding = np.load(dir_str+'/user_embedding.npy', allow_pickle=True) best_item_embedding = np.load(dir_str+'/item_embedding.npy', allow_pickle=True)
The text was updated successfully, but these errors were encountered:
你好,user_embedding.npy 和 item_embedding.npy是我们通过预训练CLCRec得到的。我们也提供了三个数据集对应的预训练好的embedding文件在"data/{dataset}/"路径下。:)
Sorry, something went wrong.
感谢你的回答,但是我发现只有Amazon数据集存在这样的嵌入,请问你可以提供完整的三个数据集的嵌入吗,我担心自己预训练的结果难以达到论文宣称的结果,期待你的再次解答。
No branches or pull requests
请问Dataset.py中下面的嵌入如何获取,似乎是运行某个模型预训练得到的,期待你的回答。
best_user_embedding = np.load(dir_str+'/user_embedding.npy', allow_pickle=True)
best_item_embedding = np.load(dir_str+'/item_embedding.npy', allow_pickle=True)
The text was updated successfully, but these errors were encountered: