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README.md

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# DiverseNTN
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# Modeling Document Novelty with Neural Tensor Network for Search Result Diversification
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## Train
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## Training data
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* feature.txt and feature_test.txt: document/query featture vectors
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* idealfile: groundtruth ranking for each query
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### 训练数据
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feature.txt和feature_test.txt为每个文档和对应query的特征向量,idealfile为每个query的groundtruth
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### 运行命令
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## Command line
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python DiverseNTN.py feature.txt feature_test.txt idealfile config.yml
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### 训练结果
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训练结果将存储在result文件夹中
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## Results
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The training results are saved in fold *reslut*
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## Reference
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[1] Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng. Modeling Document Novelty with Neural Tensor Network for Search Result Diversification. In Proc. SIGIR 2016.

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