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Leveraging Seq2seq Language Generation for Multi-level Product Issue Identification
To harness such information to better serve customers, in this paper, we created a machine learning approach to automatically identify product issues and uncover root causes from the customer feedback text.
ColdGuess: A General and Effective Relational Graph Convolutional Network to Tackle Cold Start Cases
It outperforms the lightgbm2 by up to 34 pcp ROC-AUC in a cold start case when a new seller sells a new product .
Improving Factual Consistency of Abstractive Summarization on Customer Feedback
E-commerce stores collect customer feedback to let sellers learn about customer concerns and enhance customer order experience.
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