1. Ahn, J., Brusilovsky, P., & Han, S. (2015). Personalized search: Reconsidering the value of open user models. In Proceedings of the 20th International Conference on Intelligent User Interfaces (pp. 202–212). ACM.
2. Akhüseyinoğlu, K., Milicevic, A. K., & Brusilovsky, P. (2022). Who are my peers? learner-controlled social comparison in a programming course. In I. Hilliger, P. J. Munoz-Merino, T. De Laet, A. Ortega-Arranz, & T. Farrell (Eds.), European Conference on Technology Enhanced Learning (EC-TEL 2022) Educating for a New Future: Making Sense of Technology-Enhanced Learning Adoption, volume 13450 of Lecture Notes in Computer Science (pp. 1–15). Springer International Publishing.
3. Bakalov, F., Meurs, M.-J., Konig-Ries, B., Sateli, B., Witte, R., Butler, G., & Tsang, Ä. (2013). An approach to controlling user models and personalization effects in recommender systems. In Proceedings of the 18th International conference on Intelligent user interfaces, IUI ’2013 (pp. 49–56). ACM Press.
4. Barria-Pineda, J., Akhüseyinoğlu, K., Brusilovsky, P., Pollari-Malmi, K., Sirkiä, T., & Malmi, L. (2020). Personalized remedial recommendations for sql programming practice system. In Workshop on Adaptation and Personalization in Computer Science Education at the 28th ACM Conference on User Modeling, Adaptation and Personalization, ACM UMAP 2020 (pp. 135–142).
5. Barria-Pineda, J., Akhüseyinoğlu, K., Želem Ćelap, S., Brusilovsky, P., Klasnja Milicevic, A., &, Ivanovic, M. (2021). Explainable recommendations in a personalized programming practice system. In Roll, I., McNamara, D., Sosnovsky, S., Luckin, R., & Dimitrova, V. (Eds.), 22nd International Conference on Artificial Intelligence in Education, AIED 2021.