Offline and Online Satisfaction Prediction in Open-Domain Conversational Systems

@article{Choi2019OfflineAO,
  title={Offline and Online Satisfaction Prediction in Open-Domain Conversational Systems},
  author={Jason Ingyu Choi and Ali Ahmadvand and Eugene Agichtein},
  journal={Proceedings of the 28th ACM International Conference on Information and Knowledge Management},
  year={2019}
}
Predicting user satisfaction in conversational systems has become critical, as spoken conversational assistants operate in increasingly complex domains. Online satisfaction prediction (i.e., predicting satisfaction of the user with the system after each turn) could be used as a new proxy for implicit user feedback, and offers promising opportunities to create more responsive and effective conversational agents, which adapt to the user's engagement with the agent. To accomplish this goal, we… 

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