For an (almost) always updated list of my publications visit my Google Scholar profile
Journal Publications
Kernel-based Machine Learning for fast text mining in R Alexandros Karatzoglou, Ingo Feinerer, Computational Statistics & Data Analysis 54(2): 290-297, February 2010
Improving Maximum Margin Matrix Factorization Markus Weimer, Alexandros Karatzoglou, Alex Smola, Machine Learning Journal, Volume 72, Issue 3, Springer Netherlands, 2008 * Best Machine Learning Paper Award at ECML PKDD 2008 *
Support Vector Machines in R Alexandros Karatzoglou, David Meyer, Kurt Hornik Journal of Statistical Software, Volume 15, Issue 9, 2006
kernlab an S4 package for Kernel Methods in R Alexandros Karatzoglou, Alex J. Smola, Kurt Hornik, Achim Zeileis, Journal of Statistical Software, Volume 11, Issue 9, 2004
A Simulation Framework for Heterogeneous Agents David Meyer, Alexandros Karatzoglou, Friedrich Leisch, Kurt Hornik, Computational Economics, Volume 22(2), 285-301, 2003
Simulation and validation of an Integrated Markets Model Brian Sallans, Alexander Pfister, Alexandros Karatzoglou, Georg Dorffner, Journal of Artificial Societies and Social Simulation, Volume 6, No. 4, 2003
Conference Publications
Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations Balazs Hidasi, Massimo Quadrana, Alexandros Karatzoglou, Domonkos Tikk, 10th ACM Recommender Systems Conference, (RecSys), Boston MA, USA, 15-21 September, 2016
Collaborative Filtering Bandits Shuai Li, Alexandros Karatzoglou, Claudio Gentile, 39th ACM Special Interest Group on Information Retrieval (SIGIR), Pisa Italy 16-21 July, 2016
Session-based Recommendations with Recurrent Neural Networks Balazs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, Domonkos Tikk, International Conference on Learning Representations (ICLR) San Juan, Puerto Rico May 2-6, 2016 Theano code GRU4Rec
Recommendation with the Right Slice: Speeding Up Collaborative Filtering with Factorization Machines Babak Loni, Martha Larson, Alexandros Karatzoglou, Alan Hanjalic 9th ACM Conference on Recommender Systems (RecSys) Vienna, Austria September 16-20, 2015
CARS2: Learning Context-aware Representations for Context-aware Recommendationsm Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha Larson, Alan Hanjalic, 23rd ACM International Conference on Information and Knowledge Management (CIKM), Shanghai, China November 3-7, 2014
Coverage, Redundancy and Size-awareness in Genre Diversity for Recommender Systems Saul Vargas, Linas Baltrunas, Alexandros Karatzoglou, Pablo Castells, 8th ACM Conference on Recommender Systems (RecSys), Foster City, Silicon Valley, CA USA 6-10 October, 2014
Question Recommendation for Collaborative Question Answering Systems with RankSLDA Jose San Pedro, Alexandros Karatzoglou, 8th ACM Conference on Recommender Systems (RecSys), Foster City, Silicon Valley, CA USA 6-10 October, 2014
Gaussian Process Factorization Machines for Context-aware Recommendations Trunk V. Nguyen, Alexandros Karatzoglou, Linas Baltrunas, 37th ACM Special Interest Group on Information Retrieval (SIGIR), Gold Coast, Australia July 6-11, 2014 GPFM code
GAPfm: Optimal Top-N Recommendations for Graded Relevance Domains Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha Larson, Alan Hanjalic, ACM International Conference on Information and Knowledge Management (CIKM), San Franscisco, CA, USA, October 27th- November 1st, 2013
xCLiMF: Optimizing Expected Reciprocal Rank for Data with Multiple Levels of Relevance Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha Larson, Alan Hanjalic, 7th ACM Conference on Recommender Systems (RecSys), Hong Kong, October 12-16, 2013
Socially Enabled Preference Learning from Implicit Feedback Data Julien Delporte, Alexandros Karatzoglou, Tomasz Matuszczyk, Stéphane Canu, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), Prague, Czech Republic, 23-27 September, 2013 *Best Paper Award*
Games of Friends: a Game-Theoretical Approach for Link Prediction in Online Social Networks Giovanni Zappella, Alexandros Karatzoglou, Linas Baltrunas, AAAI 2013 Workshop, Intelligent Techniques for Web Personalization and Recommender Systems (ITWP), Bellevue, WA, USA, July 15, 2013
Event Detection in Communication and Transportation Data Joachim Neumann, Manqi Zhao, Alexandros Karatzoglou, Nuria Oliver, 6th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA), Madeira, Portugal, June 5-7, 2013
Climbing the App Wall: Enabling Mobile App Discovery through Context-Aware Recommendations Alexandros Karatzoglou, Linas Baltrunas, Karen Church, Matthias Böhmer, 21st ACM International Conference on Information and Knowledge Management (CIKM), Maui, Hawaii, USA, October 29 – November 2, 2012
CLiMF: Learning to Maximize Reciprocal Rank with Collaborative Less-is-More Filtering Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha Larson, Alan Hanjalic, 6th ACM Conference on Recommender Systems (RecSys), Dublin, Ireland, September 9-13, 2012 *Best Paper Award*
TFMAP: Optimizing MAP for Top-N Context-aware Recommendation Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha Larson, Alan Hanjalic, Nuria Oliver, 35th ACM Special Interest Group on Information Retrieval (SIGIR), Portland, OR, USA, August 12-16, 2012
Collaborative Context-Aware Preference Learning Alexandros Karatzoglou, Linas Baltrunas, Matthias Böhmer, Choice Models and Preference Learning, Workshop, (NIPS), Sierra Nevada, Spain, December 17, 2011
Collaborative Temporal Order Modeling Alexandros Karatzoglou, 5th ACM Conference on Recommender Systems (RecSys), Chicago, IL, USA, October 24, 2011
Implicit Feedback Recommendation via Implicit-to-Explicit Ordinal Logistic Regression Mapping Denis Parra Santander, Alexandros Karatzoglou, Xavier Amatriain, Idil Yavuz, 5th ACM Recommender Systems, CARS workshop, Chicago, USA (RecSys), October 24, 2011
Towards a psychographic user model from mobile phone usage Rodrigo de Oliveira, Alexandros Karatzoglou, Ana Armenta, Nuria Oliver, ACM Conference on Human Factors in Computing Systems (CHI), Vancouver, Canada, Mai 7-12, 2011
Multiverse Recommendation: N-dimensional Tensor Factorization for Context-Aware Collaborative Filtering Alexandros Karatzoglou, Xavier Amatriain, Linas Baltrunas, Nuria Oliver, 4th ACM Conference on Recommender Systems (RecSys), Barcelona, Spain, September 26-30, 2010
Quantile Matrix Factorization for Collaborative Filtering Alexandros Karatzoglou, Markus Weimer, 11th International Conf. on Electronic Commerce and Web Technologies (EC-Web), Bilbao, Spain, 30 August – 3 September 2010
Support Vector Machines for large scale text mining in R, Ingo Feinerer, Alexandros Karatzoglou, 19th International Conference on Computational Statistics (COMPSTAT) Paris, France, August 22-27, 2010
Collaborative Filtering on a Budget Alexandros Karatzoglou, Alex Smola, Markus Weimer, 13th International Conference on Artificial Intelligence and Statistics (AISTATS), Volume 9 of JMLR: W&CP 9, Chia Laguna Resort , Sardinia Italy, May 13-15, 2010
An Approach to Water Supply Clusters by semi-Supervised Learning Manuel Herrera, Stéphane Canu, Alexandros Karatzoglou, R. Pérez García,J. Izquierdo, International Environmental Modelling and Software Society (iEMSs), 2010 International Congress on Environmental Modelling and Software, Modelling for Environment’s Sake, Fifth Biennial Meeting, Ottawa, Ontario, Canada, July 5-10, 2010
Maximum Margin Code Recommendation Markus Weimer, Alexandros Karatzoglou, 3rd ACM Conference on Recommender Systems (RecSys), New York, USA, October 22-25, 2009
Adaptive Collaborative Filtering Markus Weimer, Alexandros Karatzoglou, Alex Smola, 2nd ACM Conference on Recommender Systems (RecSys), Lausanne, Switzerland, October 23-25, 2008
Fast text mining using kernels in R Ingo Feinerer, Alexandros Karatzoglou, 18th International Conference on Computational Statistics (COMPSTAT), Porto – Portugal, August 24-29, 2008
Nonparametric distribution analysis for text mining Alexandros Karatzoglou, Ingo Feinerer, Kurt Hornik, 32nd Annual Conference of the German Classification Society (GfKl) Hamburg Germany, July 16-18, 2008
CoFiRank – Maximum Margin Matrix Factorization for Collaborative Ranking Markus Weimer, Alexandros Karatzoglou, Quoc Le, Alex Smola, Neural Information Processing Systems Conference (NIPS), Vancouver Canada, 3-8 December 2007, Spotlight presentation C++ code
Text clustering with string kernels in R Alexandros Karatzoglou, Ingo Feinerer Proc. 30th Annual Conference of the German Classification Society (GfKl), Advances in Data Analysis, Berlin Germany, 8-10 March 2006.
Step Size-Adapted Online Support Vector Learning Alexandros Karatzoglou, S.V.N. Vishwanathan, Nicol Schraudolph, Alex J. Smola, Proc. 8th Intl. Symp. Signal Processing & Applications, IEEE (ISSPA), August 28 – 31, Sydney, Australia, Volume 2, 823-826, 2005
A Generic Simulation Environment for Heterogenious Agents David Meyer, Alexandros Karatzoglou, Proc. 3rd Intl. Workshop on Agent-based Approaches in Economic and Social Complex Systems (AESCS), Kyoto University Japan, May 27th-29th, 2004
SVLAB – A kernel Methods Package Alexandros Karatzoglou, Alex J. Smola, Kurt Hornik, Achim Zeileis, Proc. of the Distributed Statistical Computing Workshop, (DSC), Vienna, Austria, 20th-22th March 2003
Feedback Effects in Interacting Markets Brian Sallans, Georg Dorffner, Alexandros Karatzoglou, In C. Urban (ed.) Proceedings of the Third Workshop on Agent-based simulation, Volume 6 No. 4, 2002
Book Chapters
Collaborative Preference Learning Alexandros Karatzoglou, Markus Weimer In Fürnkranz, Johannes, Hülermeier, Eyke (Eds.) Preference Learning. Springer Verlag. Berlin 2010, ISBN: 978-3-642-14124-9
The Artificial Economy: A Generic Simulation Environment for Heterogeneous Agents David Meyer, Alexandros Karatzoglou, In Alfred Taudes editor, Adaptive Information Systems and Modeling in Economics and Management Science, p. 115-125. Springer Verlag, 2005, ISBN 3-211-20684-1
A Simulation Model of Coupled Consumer and Financial Markets Brian Sallans, Alexander Pfister, Alexandros Karatzoglou, Georg Dorffner, In Alfred Taudes editor, Adaptive Information Systems and Modeling in Economics and Management Science, p. 155-178. Springer Verlag, 2005, ISBN 3-211-20684-1
Ph. D. Thesis
Kernel Methods, Algorithms and Applications
Supervisor: Prof. Kurt Hornik, Computational Intelligence Group, Department of Statistics Vienna University of Technology, Austria May 2006
Alexandros Karatzoglou 