Tatenda Kavu
Senior Lecturer, Computer Science & Information Systems
Tatenda Duncan Kavu is a computer scientist. He holds a Ph.D. in Computer Science from the University of Zimbabwe. He also attained a Masters and Honors degree from the same university in 2010 and 2012 respectively. He specializes in Recommender Systems, Data Mining and Machine Learning. He is a reviewer of several journals around the world, and he has authored and co-authored several journal articles, conference papers and book chapters. Dr Kavu has managed several projects as a leading consultant since 2018.
- John Batani, Elliot Mbunge, Benhildah Muchemwa, Goabaone Gaobotse, Caroline Gurajena, Stephen Fashoto, Tatenda Kavu & Kudakwashe Dandajena (2022), A Review of Deep Learning Models for Detecting Cyberbullying on Social Media Networks. Cybernetics Perspectives in Systems Conference: pp 528–550. Available at: https://link.springer.com/chapter/10.1007/978-3-031-09073-8_46
- Kavu T D, Dube K, Raeth P, Hapanyengwi G, 2021. Characterization of User-Contexts for Context-Aware Recommendation Systems. Proceedings of the Future Technologies Conference (FTC) 2021, Volume 1 pp 89-106. DOI:10.1007/978-3-030-89906-6_7
- Kavu T, Dube K, Raeth P, Hapanyengwi G, 2017. A Characterisation and Framework for User-Centric Factors in Evaluation Methods for Recommender Systems. International Journal of ICT Research in Africa and the Middle East (IJICTRAME) 6(1), Available at: http://www.irma-international.org/article/a-characterisation-and-framework-for-user-centric-factors-in-evaluation-methods-for-recommender-systems/169948/
- Tatenda D. Kavu, Kudakwashe Dube, Peter G Raeth, “Holistic User Context-Aware Recommender Algorithm,” Mathematical Problems in Engineering, vol. 2019, Article ID 3965845, 15 pages, 2019.https://doi.org/10.1155/2019/
- Tatenda D Kavu, Peter G Raeth, Kudakwashe Dube, G. and Hapanyengwi (2017) ‘A Novel, Serendipitous and Dynamic User-Centric Recommender Algorithm’, in EAI International Conference for Research, Innovation and Development for Africa. ACRID 2017, pp. 1–13. Available at: https://dl.acm.org/citation.cfm?id=3276843
- Tatenda Duncan Kavu, Tinotenda Godknows Nyamandi, Alleta Chirinda, Talent T. Rugube, Kudzai Zishumba: Human Action Prediction Using Sentiment Analysis on Social Networks. 06/2017; 6(2):14-28., DOI:10.4018/IJICTRAME.2017070102, https://www.igi-global.com/article/human-action-prediction-using-sentiment-analysis%20on-social-networks/181463
tkavu@ashesi.edu.gh