5.3

Reliability and Validity of the Myers-Briggs Type Indicator® Instrument

Recommendation of Korean-pop bands using topic modelling algorithm and Myers-Briggs Type Indicator


Ibrahim, N. H. B. (2023).
Recommendation of Korean-pop bands using topic modelling algorithm and Myers-Briggs Type Indicator
[Master’s thesis, National College of Ireland].
NORMA eResearch @NCI Library.

Increasingly today, people interact with online systems that recommend products and services based on their personal interests. Enhancing the quality of personal recommendations is a particular challenge for music streaming services. This study aimed to create a recommendation system that suggests K-pop bands based on musical preferences aligned with users' MBTI® personality preferences. By integrating personality insights into the recommendation process, a more engaging and tailored experience for K-pop fans can be created, ultimately contributing to the growing field of personalized music recommendations.

The project focused on creating a K-pop band recommendation engine that leverages the MBTI types and the Latent Dirichlet Allocation, a topic modelling algorithm. Data collection was done with questionnaires distributed through Reddit, a social media platform. The questionnaire asked for MBTI personality type and inquired about preferences for K-pop bands and songs. A band recommendation engine was designed and tested to match K-pop music preferences with personality type preferences.

The results of this study can be applied to various online recommendation systems, beyond music streaming services, to personalize consumer experiences aligned with MBTI preferences.


ARTICLE PERMALINK: https://www.myersbriggs.org/research-and-library/journal-psychological-type/recommendation-of-korean-pop-bands-using-topic-modelling/

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Journal of Psychological Type® Research Digest (JPT-RD) is made available through Myers & Briggs Foundation, worldwide publisher. The editorial team includes Kesstan Blandin, PhD, Logan Abbitt, MLIS, and Purnima Sims.

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