TU Wien Informatics

20 Years

Role

  • Fairness and Diversity in Social-Based Recommender Systems / Sacharidis, D., Mukamakuza, C. P., & Werthner, H. (2020). Fairness and Diversity in Social-Based Recommender Systems. In UMAP ’20: Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization (pp. 83–88). Association for Computing Machinery, New York, NY, USA. http://hdl.handle.net/20.500.12708/55597
  • Analyzing social influence in recommender systems / Mukamakuza, C. P. (2020). Analyzing social influence in recommender systems [Dissertation, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2020.78721
    Download: PDF (8 MB)
  • The Impact of Social Connections in Personalization / Mukamakuza, C. P., Sacharidis, D., & Werthner, H. (2019). The Impact of Social Connections in Personalization. In Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization. Human Aspects in Adaptive and Personalized Interactive Environments (HAAPIE 2019) Workshop in conjunction with UMAP ’19: 27th Conference on User Modeling, Adaptation and Personalization, Larnaca, Cyprus. https://doi.org/10.1145/3314183.3323675
  • The Role of Activity and Similarity in Rating and Social Behavior in Social Recommender Systems. / Mukamakuza, C. P., Sacharidis, D., & Werthner, H. (2019). The Role of Activity and Similarity in Rating and Social Behavior in Social Recommender Systems. International Journal on Artificial Intelligence Tools, 28(06), 1960004. https://doi.org/10.1142/s0218213019600042
  • Mining User Behavior in Social Recommender Systems / Mukamakuza, C., Sacharidis, D., & Werthner, H. (2018). Mining User Behavior in Social Recommender Systems. In Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics. WIMS 2018 - 8th International Conference on Web Intelligence, Mining and Semantics., Novi Sad, Serbia, Non-EU. ACM. https://doi.org/10.1145/3227609.3227651
  • Analyzing the Impact of Social Connections on Rating Behavior in Social Recommender Systems / Mukamakuza, C. P. (2017). Analyzing the Impact of Social Connections on Rating Behavior in Social Recommender Systems. In UMAP’17- Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization (pp. 322–326). ACM. http://hdl.handle.net/20.500.12708/57167
  • A new time-dependent algorithm for post enrolment-based course timetabling problem / Wu, H., Lin, A., Zhang, D., & Mukamakuza, C. P. (2016). A new time-dependent algorithm for post enrolment-based course timetabling problem. In 2016 Eighth International Conference on Advanced Computational Intelligence (ICACI) (pp. 425–431). IEEE. http://hdl.handle.net/20.500.12708/57670