The implementation of Contrastive Meta Learning with Behavior Multiplicity forRecommendation
The implementation of Contrastive Meta Learning with Behavior Multiplicity for Recommendation
mkdir /History
mkdir /Model
numpy==1.20.3
scipy==1.6.2
torch==1.8.1+cu111
tqdm==4.61.2
IJCAI contest: https://tianchi.aliyun.com/dataset/dataDetail?dataId=47
Retail Rocket: https://www.kaggle.com/retailrocket/ecommerce-dataset
Tmall: https://tianchi.aliyun.com/dataset/dataDetail?dataId=649
Hi, Can you provide the source code of how to generate 'meta data' mentioned in your paper? thx.
Dear author, I like your work very much!
Can you provide the data preprocess code (from raw data to the data shown in your paper)?
Thank you !
请问数据集是要自己下载吗？我运行了main.py文件，报了FileNotFoundError，文件名字最后一个单词是shuffle
Dear author, I like your work very much!
I meet a error that "FileNotFoundError", this
self.meta_multi_single = pickle.load(open(self.meta_multi_single_file, 'rb'))
FileNotFoundError: [Errno 2] No such file or directory: '/home/ww/Code/DATASET/work3_dataset/retailrocket/meta_multi_single_beh_user_index_shuffle'
I don't know how to solve it.
Thank you very much !
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