1. Wu, W., Chen, L., He, L.: Proceedings of the 24th ACM Conference on Hypertext and Social Media - HT. Using Personality to Adjust Diversity in Recommender Systems, pp. 225–229 (2013)
2. Hu, R., Pu, P.: Exploring relations between personality and user rating behaviors. In: UMAP Workshops, Rome, Italy (2013)
3. Ferwerda, B., Graus, M., Vall, A., Tkalčič, M., Schedl, M.: The influence of users’ personality traits on satisfaction and attractiveness of diversified recommendation lists. In: Proceedings of the 4th Workshop on Emotions and Personality in Personalized Systems (2016)
4. Jin, Y., Tintarev, N., Verbert, K.: Effects of individual traits on diversity-aware music recommender user interfaces. In: Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, pp. 291–299 (2018)
5. Costa Jr., P.T., McCrae, R.R.: Revised NEO Personality Inventory (NEO PI-R) and NEO Five-Factor Inventory (NEO-FFI). Psychological Assessment Resources, Odessa (1992)