A Survey on Different Means of Personalized Dialog Output for an Adaptive Personal Assistant-Reference-Cited by-同舟云学术

A Survey on Different Means of Personalized Dialog Output for an Adaptive Personal Assistant

Published:2018-07-02 Issue: Volume: Page:
ISSN:
Container-title:Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization
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Author:

Schmidt Maria¹,Braunger Patricia¹

Affiliation:

1. Daimler AG, Sindelfingen, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3213586.3226198

Reference10 articles.

1. Mark S Ackerman Lorrie Faith Cranor and Joseph Reagle. 1999. Privacy in e-commerce: examining user scenarios and privacy preferences Proceedings of the 1st ACM conference on Electronic commerce. ACM 1--8. 10.1145/336992.336995 Mark S Ackerman Lorrie Faith Cranor and Joseph Reagle. 1999. Privacy in e-commerce: examining user scenarios and privacy preferences Proceedings of the 1st ACM conference on Electronic commerce. ACM 1--8. 10.1145/336992.336995

2. Privacy in e-commerce

3. John HL Hansen Jay Plucienkowski Stephen Gallant Bryan Pellom and Wayne Ward. 2000. " CU-Move": Robust Speech Processing for In-Vehicle Speech Systems Sixth International Conference on Spoken Language Processing. John HL Hansen Jay Plucienkowski Stephen Gallant Bryan Pellom and Wayne Ward. 2000. " CU-Move": Robust Speech Processing for In-Vehicle Speech Systems Sixth International Conference on Spoken Language Processing.

4. Oliver Lemon and Olivier Pietquin. 2012. Data-Driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces. Springer Publishing Company Incorporated. Oliver Lemon and Olivier Pietquin. 2012. Data-Driven Methods for Adaptive Spoken Dialogue Systems: Computational Learning for Conversational Interfaces. Springer Publishing Company Incorporated.

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