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Personality-Aware Collaborative Learning: Models and Explanations

  • Yong ZhengEmail author
  • Archana Subramaniyan
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 926)

Abstract

Personality traits have been demonstrated as one of the effective human factors in the process of decision making. Personality-aware recommendation models have been built for different applications. However, the models and research for educations are still under investigation. In this paper, we utilize the educational learning as a case study, exploit and summarize different approaches which take advantage of personality traits in collaborative personalized recommendations. Furthermore, we extend the existing personality-aware recommendation models and propose two other alternative recommendation algorithms which can utilize the personality traits. We perform empirical comparisons and studies over an educational data set, and explain the effects of personality from the perspective of the characteristics of each algorithm, in order to discover more insights in the data and models.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Illinois Institute of TechnologyChicagoUSA

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