KDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall
Baseline Score: 0.5538
方案详解：https://zhuanlan.zhihu.com/p/135984016
https://fasttext.cc/docs/en/english-vectors.html crawl-300d-2M.vec.zip
https://nlp.stanford.edu/projects/glove/ glove.840B.300d.zip
https://github.com/google-research/bert BERT-Base, Uncased
数据全部存放在data目录下
运行顺序
1.preprocess.py(只读了1w的数据,要读取更多数据,谨慎修改函数pd.read_csv的参数，有大内存机器的忽略)
2.[image-concat-query]-wwm_uncased_L12-768_v3_quart.ipynb
环境和依赖
python 3.7
tensorflow==1.13.1
Keras==2.2.4
keras-bert==0.78.0