Author: Alexandros Karatzoglou
Publications
Co-authors
Productive Colleagues
- Martha Larson
- Alan Hanjalic
- Nuria Oliver
- 12
- 13
- 31
Publications
Oliveira, Rodrigo de, Karatzoglou, Alexandros, Cerezo, Pedro Concejero, Vicuña, Ana Armenta Lopez de, Oliver, Nuria (2011): Towards a psychographic user model from mobile phone usage. In: Proceedings of ACM CHI 2011 Conference on Human Factors in Computing Systems , 2011, . pp. 2191-2196. https://dx.doi.org/10.1145/1979742.1979920
Weimer, Markus, Karatzoglou, Alexandros, Smola, Alex (2008): Adaptive collaborative filtering. In: Proceedings of the 2008 ACM Conference on Recommender Systems , 2008, . pp. 275-282. https://dx.doi.org/10.1145/1454008.1454050
Weimer, Markus, Karatzoglou, Alexandros, Bruch, Marcel (2009): Maximum margin matrix factorization for code recommendation. In: Proceedings of the 2009 ACM Conference on Recommender Systems , 2009, . pp. 309-312. https://dx.doi.org/10.1145/1639714.1639775
Karatzoglou, Alexandros, Amatriain, Xavier, Baltrunas, Linas, Oliver, Nuria (2010): Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborat. In: Proceedings of the 2010 ACM Conference on Recommender Systems , 2010, . pp. 79-86. https://dx.doi.org/10.1145/1864708.1864727
Karatzoglou, Alexandros (2011): Collaborative temporal order modeling. In: Proceedings of the 2011 ACM Conference on Recommender Systems , 2011, . pp. 313-316. https://dx.doi.org/10.1145/2043932.2043991
Shi, Yue, Karatzoglou, Alexandros, Baltrunas, Linas, Larson, Martha, Hanjalic, Alan, Oliver, Nuria (2012): TFMAP: optimizing MAP for top-n context-aware recommendation. In: Proceedings of the 35th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval , 2012, . pp. 155-164. https://dx.doi.org/10.1145/2348283.2348308
Shi, Yue, Karatzoglou, Alexandros, Baltrunas, Linas, Larson, Martha, Oliver, Nuria, Hanjalic, Alan (2012): CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering. In: Proceedings of the 2012 ACM Conference on Recommender Systems , 2012, . pp. 139-146. https://dx.doi.org/10.1145/2365952.2365981