Information navigation system with discovering user interests

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Abstract

We demonstrate an information navigation system for sightseeing domains that has a dialogue interface for discovering user interests for tourist activities. The system discovers interests of a user with focus detection on user utterances, and proactively presents related information to the discovered user interest. A partially observable Markov decision process (POMDP)-based dialogue manager, which is extended with user focus states, controls the behavior of the system to provide information with several dialogue acts for providing information. We transferred the belief-update function and the policy of the manager from other system trained on a different domain to show the generality of defined dialogue acts for our information navigation system.

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APA

Yoshino, K., Suzuki, Y., & Nakamura, S. (2017). Information navigation system with discovering user interests. In SIGDIAL 2017 - 18th Annual Meeting of the Special Interest Group on Discourse and Dialogue, Proceedings of the Conference (pp. 356–359). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w17-5542

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