A Real-Time Combination of Text-Mining Methods for Flexible Movie Recommendation in Human Robot Interaction

Namyeon Lee; Eunji Kim; Ohbyung Kwon

doi:10.1109/PlatCon.2016.7456777

A Real-Time Combination of Text-Mining Methods for Flexible Movie Recommendation in Human Robot Interaction

Namyeon Lee, Eunji Kim, Ohbyung Kwon

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

For more realistic human-robot interaction, a robot should be able to flexibly respond to human's linguistic expressions that are not predefined in situations of face-to-face communication. However, most robots currently employ a limited response method in which they only react when the human speaks predefined words or sentences in a dictionary. This has been regarded as a limitation to the practical application of robots in real life. In this study, a text mining-based recommendation method was developed for robots to understand the meaning of exceptional human speech and obtain knowledge by using many external corpora with related data or knowledge based on the content of human speech. Tf-idf and LDA are combined to increase the recommendation accuracy.

Original language	English
Title of host publication	2016 International Conference on Platform Technology and Service, PlatCon 2016 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467386852
DOIs	https://doi.org/10.1109/PlatCon.2016.7456777
Publication status	Published - 19 Apr 2016
Event	3rd International Conference on Platform Technology and Service, PlatCon 2016 - Jeju, Korea, Republic of Duration: 15 Feb 2016 → 17 Feb 2016

Publication series

Name	2016 International Conference on Platform Technology and Service, PlatCon 2016 - Proceedings

Conference

Conference	3rd International Conference on Platform Technology and Service, PlatCon 2016
Country/Territory	Korea, Republic of
City	Jeju
Period	15/02/16 → 17/02/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

Big data
Human robot interaction
Recommendation System
Text mining

Access to Document

10.1109/PlatCon.2016.7456777

Cite this

Lee, N., Kim, E., & Kwon, O. (2016). A Real-Time Combination of Text-Mining Methods for Flexible Movie Recommendation in Human Robot Interaction. In 2016 International Conference on Platform Technology and Service, PlatCon 2016 - Proceedings Article 7456777 (2016 International Conference on Platform Technology and Service, PlatCon 2016 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PlatCon.2016.7456777

Lee, Namyeon ; Kim, Eunji ; Kwon, Ohbyung. / A Real-Time Combination of Text-Mining Methods for Flexible Movie Recommendation in Human Robot Interaction. 2016 International Conference on Platform Technology and Service, PlatCon 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. (2016 International Conference on Platform Technology and Service, PlatCon 2016 - Proceedings).

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abstract = "For more realistic human-robot interaction, a robot should be able to flexibly respond to human's linguistic expressions that are not predefined in situations of face-to-face communication. However, most robots currently employ a limited response method in which they only react when the human speaks predefined words or sentences in a dictionary. This has been regarded as a limitation to the practical application of robots in real life. In this study, a text mining-based recommendation method was developed for robots to understand the meaning of exceptional human speech and obtain knowledge by using many external corpora with related data or knowledge based on the content of human speech. Tf-idf and LDA are combined to increase the recommendation accuracy.",

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author = "Namyeon Lee and Eunji Kim and Ohbyung Kwon",

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Lee, N, Kim, E & Kwon, O 2016, A Real-Time Combination of Text-Mining Methods for Flexible Movie Recommendation in Human Robot Interaction. in 2016 International Conference on Platform Technology and Service, PlatCon 2016 - Proceedings., 7456777, 2016 International Conference on Platform Technology and Service, PlatCon 2016 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 3rd International Conference on Platform Technology and Service, PlatCon 2016, Jeju, Korea, Republic of, 15/02/16. https://doi.org/10.1109/PlatCon.2016.7456777

A Real-Time Combination of Text-Mining Methods for Flexible Movie Recommendation in Human Robot Interaction. / Lee, Namyeon; Kim, Eunji; Kwon, Ohbyung.
2016 International Conference on Platform Technology and Service, PlatCon 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2016. 7456777 (2016 International Conference on Platform Technology and Service, PlatCon 2016 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Lee N, Kim E, Kwon O. A Real-Time Combination of Text-Mining Methods for Flexible Movie Recommendation in Human Robot Interaction. In 2016 International Conference on Platform Technology and Service, PlatCon 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2016. 7456777. (2016 International Conference on Platform Technology and Service, PlatCon 2016 - Proceedings). doi: 10.1109/PlatCon.2016.7456777

A Real-Time Combination of Text-Mining Methods for Flexible Movie Recommendation in Human Robot Interaction

Abstract

Publication series

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Bibliographical note

Keywords

Access to Document

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