Author: Alexandros Karatzoglou
Publication Overview
Publication period start: 2012
Number of co-authors: 12
Co-Authors
Number of publications with favourite co-authors
Productive Colleagues
Most productive colleagues in number of publications
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