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nkxujun authored Jul 26, 2017
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# RL4SRD
# Adapting Markov Decision Process for Search Result Diversification

## 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

### 运行命令
### Command Line
python RL4SRD.py query_permutation.json query_representation.dat document_representation.dat query_doc.json folder

### 训练结果
实验结果存储在folder中
### Training results
The results are saved in *folder*

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