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# RL4SRD | ||
# Adapting Markov Decision Process for Search Result Diversification | ||
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## Train | ||
### 训练数据 | ||
data文件夹中,query_permutation是每个query的相关文档信息,query_representation是每个query的向量表示,document_representation是每个文档的向量表示,query_doc是每个文档所包含的subtopic | ||
## Training data | ||
Files in the *data* fold | ||
query_permutation: documents information related to each query | ||
query_representation: embeddings of queries | ||
document_representation: embeddings of documents | ||
query_doc: subtopics covered by each document | ||
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### 运行命令 | ||
### Command Line | ||
python RL4SRD.py query_permutation.json query_representation.dat document_representation.dat query_doc.json folder | ||
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### 训练结果 | ||
实验结果存储在folder中 | ||
### Training results | ||
The results are saved in *folder* |