Virtual Assistants for the Cultural Heritage Domain

Author:

Tavčar Aleš,Zupančič Jernej,Gams Matjaž

Publisher

Springer International Publishing

Reference15 articles.

1. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);T Bickmore,2011

2. Mathias, M., Moussa, A., Zhou, F., Torres-Moreno, et al.: Optimisation using natural language processing: personalized tour recommendation for museums. In: Proceedings of the 2014 Federated Conference on Computer Science and Information Systems, pp. 439–446 (2014)

3. Huang, M.Y., Liu, C.H., Lee, C.Y., Huang, Y.M.: Designing a personalized guide recommendation system to mitigate information overload in museum learning. Educ. Technol. Soc. 15(4), 150–166 (2011)

4. Pechenizkiy, M., Calders, T.: A framework for guiding the museum tours personalization. In: Proceedings UM 2007 International Workshop on Personalization Enhanced Access to Cultural Heritage (CHIP) (2007)

5. Cimiano, P., Kopp, S.: Accessing the web of data through embodied virtual characters. Semant. Web 1(1), 83–88 (2010)

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1. An Efficient, Precise and User Friendly AI based Virtual Assistant;2023 International Conference on the Confluence of Advancements in Robotics, Vision and Interdisciplinary Technology Management (IC-RVITM);2023-11-28

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