| User Preference Elicitation, Rating Sparsity and Cold Start. M Elahi, M Braunhofer, T Gurbanov, F Ricci Collaborative recommendations, 253-294, 2018 | 32 | 2018 |
| A graphical user interface for presenting integrated development environment command recommendations: Design, evaluation, and implementation M Gasparic, A Janes, F Ricci, GC Murphy, T Gurbanov Information and Software Technology 92, 236-255, 2017 | 20 | 2017 |
| Action prediction models for recommender systems based on collaborative filtering and sequence mining hybridization T Gurbanov, F Ricci Proceedings of the Symposium on Applied Computing, 1655-1661, 2017 | 17 | 2017 |
| Modeling and predicting user actions in recommender systems T Gurbanov, F Ricci, M Ploner Proceedings of the 2016 Conference on User Modeling Adaptation and …, 2016 | 10 | 2016 |
| Context-aware integrated development environment command recommender systems M Gasparic, T Gurbanov, F Ricci 2017 32nd IEEE/ACM International Conference on Automated Software …, 2017 | 9 | 2017 |
| Improving integrated development environment commands knowledge with recommender systems M Gasparic, T Gurbanov, F Ricci Proceedings of the 40th International Conference on Software Engineering …, 2018 | 8 | 2018 |
| User preference elicitation, rating sparsity and cold start. Collaborative Recommendations: Algorithms, Practical Challenges and Applications M Elahi, M Braunhofer, T Gurbanov, F Ricci World Scientific, 2019 | 4 | 2019 |
| Heterogeneous User Actions in Recommender Systems T Gurbanov Free University of Bozen-Bolzano, 2019 | | 2019 |
| Exploiting Multiple Action Types in Recommender Systems. T Gurbanov, F Ricci IIR, 72-75, 2017 | | 2017 |
Francesco RicciProfessor of Computer Science, Free University of Bozen-BolzanoVerified email at unibz.it
