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Original Article

Interest-Based Career Domain Recommender Using Personality Profiling

Dr. D Kirubha1 D R Thejashwini2 H M Sanjana3 H Sowmya4 Kushi P M5
1 H.O.D of CSE, Department of Computer Science and Engineering, Rajarajeswari College of Engineering, Bangalore, Karnataka, India. 2 3 4 Department of Computer Science and Engineering, Rajarajeswari College of Engineering, Bangalore, Karnataka, India.

Published Online: November-December 2025

Pages: 43-46

References

1. S. Dhelim, N. Aung, D. Bouras, and S. Zhang, “A Survey on Personality-Aware Recommendation Systems,” IEEE Access, vol. 9, pp. 99641–99663, 2021.
2. M. Qamhieh, A. Halawani, and A. Al-Omari, “Personalized Career-Path Recommender System,” IEEE Access, vol. 8, pp. 226924–226935, 2020.
3. P. Rani and M. Gupta, “Personality-Based Career Suggestion Model,” International Journal of Engineering and Advanced Technology, vol. 8, no. 6, pp. 2718–2721, 2019.
4. K. Manjula and R. Banupriya, “Deep Learning for Career Domain Prediction,” International Journal of Advanced Computer Science and Applications, vol. 13, no. 4, pp. 98–105, 2022.
5. J. John and B. Thomas, “A Rule-Based Career Guidance System Using Psychometric Traits,” International Conference on Advances in Computing and Communication Engineering, pp. 1–5, 2020.
6. R. Kumar and S. Sharma, “Student Career Prediction Using Machine Learning Techniques,” Proceedings of the International Conference on Intelligent Computing and Control Systems, pp. 1087–1091, 2021.
7. L. Goldberg, “The Development and Validation of a Broad-Bandwidth, Public Domain, Personality Inventory: The IPIP Big-Five Factor Markers,” Journal of Research in Personality, vol. 37, no. 6, pp. 504–528, 2003.
8. S. Srivastava, “Measuring the Big Five Personality Factors,” University of Oregon, 2018.

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