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An Inference System Using BIG5 Personality Traits for Filtering Preferred Resource

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2023, 28(1), pp.9-16
  • DOI : 10.9708/jksci.2023.28.01.009
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : November 1, 2022
  • Accepted : December 14, 2022
  • Published : January 31, 2023

1)Jong-Hyun Park 1

1한신대학교

Accredited

ABSTRACT

In the IoT environment, various objects mutually interactive, and various services can be composed based on this environment. In the previous study, we have developed a resource collaboration system to provide services by substituting limited resources in the user's personal device using resource collaboration. However, in the preceding system, when the number of resources and situations increases, the inference time increases exponentially. To solve this problem, this study proposes a method of classifying users and resources by applying the BIG5 user type classification model. In this paper, we propose a method to reduce the inference time by filtering the user's preferred resources through BIG5 type-based preprocessing and using the filtered resources as an input to the recommendation system. We implement the proposed method as a prototype system and show the validation of our approach through performance and user satisfaction evaluation.

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.