论文信息 - Product Prediction with Deep Neural Networks

Product Prediction with Deep Neural Networks

In this paper, we give a solution to the product prediction shared task of CCKS 2016. The main purpose of the task is to determine the product categories for the import and export transaction record data. For this specific dataset, we apply deep neural networks to solve the multi-label classification problem. On the training set, our proposed method achieves a precision of 0.90, and the proposed model can have a good performance on the test set.

Yang Xiang | E. Shijia

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