Similarity-ranking method based on semantic computing for a context-aware system

Motoki Yokoyama, Yasushi Kiyoki, Tetsuya Mita

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Among the enormous variety of data in recent years, transportation data contain significant potential for understanding the information requirements and intention of passengers. In this paper, we propose a new information ranking method for passenger intention prediction and service recommendation. The method includes three main features, which include (1) predicting the intention of a used based on his/her current context, (2) selecting a subspace for service recommendation, and (3) ranking the services by the highest relevant order. By comparing the predicted results with a straightforward computation method, the experimental studies show the effectiveness and efficiency of the proposed method. The paper also describes the simplicity of our method over existing subspace selection methods.

Original languageEnglish
Title of host publication2016 International Conference on Knowledge Creation and Intelligent Computing, KCIC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages21-27
Number of pages7
ISBN (Electronic)9781509052318
DOIs
Publication statusPublished - 2017 Mar 20
Event5th International Conference on Knowledge Creation and Intelligent Computing, KCIC 2016 - Manado, Indonesia
Duration: 2016 Nov 152016 Nov 17

Other

Other5th International Conference on Knowledge Creation and Intelligent Computing, KCIC 2016
CountryIndonesia
CityManado
Period16/11/1516/11/17

Fingerprint

Semantics

Keywords

  • Context Awareness
  • Information Integration
  • Information Retrieval
  • Semantic Associative Search

ASJC Scopus subject areas

  • Computer Science Applications
  • Artificial Intelligence

Cite this

Yokoyama, M., Kiyoki, Y., & Mita, T. (2017). Similarity-ranking method based on semantic computing for a context-aware system. In 2016 International Conference on Knowledge Creation and Intelligent Computing, KCIC 2016 (pp. 21-27). [7883620] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/KCIC.2016.7883620

Similarity-ranking method based on semantic computing for a context-aware system. / Yokoyama, Motoki; Kiyoki, Yasushi; Mita, Tetsuya.

2016 International Conference on Knowledge Creation and Intelligent Computing, KCIC 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 21-27 7883620.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yokoyama, M, Kiyoki, Y & Mita, T 2017, Similarity-ranking method based on semantic computing for a context-aware system. in 2016 International Conference on Knowledge Creation and Intelligent Computing, KCIC 2016., 7883620, Institute of Electrical and Electronics Engineers Inc., pp. 21-27, 5th International Conference on Knowledge Creation and Intelligent Computing, KCIC 2016, Manado, Indonesia, 16/11/15. https://doi.org/10.1109/KCIC.2016.7883620
Yokoyama M, Kiyoki Y, Mita T. Similarity-ranking method based on semantic computing for a context-aware system. In 2016 International Conference on Knowledge Creation and Intelligent Computing, KCIC 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 21-27. 7883620 https://doi.org/10.1109/KCIC.2016.7883620
Yokoyama, Motoki ; Kiyoki, Yasushi ; Mita, Tetsuya. / Similarity-ranking method based on semantic computing for a context-aware system. 2016 International Conference on Knowledge Creation and Intelligent Computing, KCIC 2016. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 21-27
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