Tural Gurbanov

According to our database, Tural Gurbanov authored at least 9 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

YEAST: Yet Another Sequential Test.

Alexey Kurennoy, Majed Dodin, Tural Gurbanov, Ana Peleteiro-Ramallo

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Building a Scalable, Effective, and Steerable Search and Ranking Platform.

Marjan Celikik, Jacek Wasilewski, Ana Peleteiro-Ramallo, Alexey Kurennoy, Evgeny Labzin, Danilo Ascione, Tural Gurbanov, Géraud Le Falher, Andrii Dzhoha, Ian Harris

CoRR, 2024

2018

Improving integrated development environment commands knowledge with recommender systems.

Marko Gasparic, Tural Gurbanov, Francesco Ricci

Proceedings of the 40th International Conference on Software Engineering: Software Engineering Education and Training, 2018

User Preference Elicitation, Rating Sparsity and Cold Start.

Mehdi Elahi, Matthias Braunhofer, Tural Gurbanov, Francesco Ricci

Proceedings of the Collaborative Recommendations, 2018

2017

A graphical user interface for presenting integrated development environment command recommendations: Design, evaluation, and implementation.

Marko Gasparic, Andrea Janes, Francesco Ricci, Gail C. Murphy, Tural Gurbanov

Inf. Softw. Technol., 2017

Action prediction models for recommender systems based on collaborative filtering and sequence mining hybridization.

Tural Gurbanov, Francesco Ricci

Proceedings of the Symposium on Applied Computing, 2017

Context-aware integrated development environment command recommender systems.

Marko Gasparic, Tural Gurbanov, Francesco Ricci

Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering, 2017

Exploiting Multiple Action Types in Recommender Systems.

Tural Gurbanov, Francesco Ricci

Proceedings of the 8th Italian Information Retrieval Workshop, 2017

2016

Modeling and Predicting User Actions in Recommender Systems.

Tural Gurbanov, Francesco Ricci, Meinhard Ploner

Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016