Author: Robin Burke


Publication period start: 2012
Number of co-authors: 9


Number of publications with favourite co-authors
Negar Hariri
Jonathan Gemmell
Bamshad Mobasher

Productive Colleagues

Most productive colleagues in number of publications
Alexander Felfernig
Bamshad Mobasher
Francesco Ricci


Burke, Robin (2001): Salticus: Guided Crawling for Personal Digital Libraries. In: JCDL01: Proceedings of the 1st ACM/IEEE-CS Joint Conference on Digital Libraries , 2001, . pp. 88-89.

Felfernig, Alexander, Burke, Robin (2008): Constraint-based recommender systems: technologies and research issues. In: Fensel, Dieter, Werthner, Hannes (eds.) Proceedings of the 10th International Conference on Electronic Commerce - ICEC 2008 August 19-22, 2008, Innsbruck, Austria. pp. 3.

Sandvig, J. J., Mobasher, Bamshad, Burke, Robin (2007): Robustness of collaborative recommendation based on association rule mining. In: Proceedings of the 2007 ACM Conference on Recommender Systems , 2007, . pp. 105-112.

Shepitsen, Andriy, Gemmell, Jonathan, Mobasher, Bamshad, Burke, Robin (2008): Personalized recommendation in social tagging systems using hierarchical clustering. In: Proceedings of the 2008 ACM Conference on Recommender Systems , 2008, . pp. 259-266.

Burke, Robin (2010): Evaluating the dynamic properties of recommendation algorithms. In: Proceedings of the 2010 ACM Conference on Recommender Systems , 2010, . pp. 225-228.

Guzzi, Francesca, Ricci, Francesco, Burke, Robin (2011): Interactive multi-party critiquing for group recommendation. In: Proceedings of the 2011 ACM Conference on Recommender Systems , 2011, . pp. 265-268.

Gemmell, Jonathan, Schimoler, Thomas, Mobasher, Bamshad, Burke, Robin (2011): Tag-Based Resource Recommendation in Social Annotation Applications. In: Proceedings of the 2011 Conference on User Modeling, Adaptation and Personalization , 2011, . pp. 111-122.

Hariri, Negar, Mobasher, Bamshad, Burke, Robin (2012): Context-aware music recommendation based on latent topic sequential patterns. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 131-138.