Alexandros Karatzoglou
Alexandros Karatzoglou
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Zitiert von
Zitiert von
kernlab - An S4 Package for Kernel Methods in R
A Karatzoglou, A Smola, K Hornik, A Zeileis
Journal of Statistical Software 11 (9), 1-20, 2004
Multiverse Recommendation: N-dimensional Tensor Factorization for Context-aware Collaborative Filtering
A Karatzoglou, X Amatriain, L Baltrunas, N Oliver
Proceedings of the fourth ACM conference on Recommender Systems (RecSys), 79-86, 2010
Session-based Recommendations with Recurrent Neural Networks
B Hidasi, A Karatzoglou, L Baltrunas, D Tikk
International Conference on Learning Representations (ICLR) 2016, 2015
Support Vector Machines in R
A Karatzoglou, D Meyer, K Hornik
Journal of Statistical Software 15 (9), 1-28, 2006
CoFiRank-Maximum Margin Matrix Factorization for Collaborative Ranking
M Weimer, A Karatzoglou, QV Le, AJ Smola
Advances in Neural information Processing Systems (NIPS), 1593-1600, 2008
CLiMF: Learning to Maximize Reciprocal Rank with Collaborative Less-is-more Filtering
Y Shi, A Karatzoglou, L Baltrunas, M Larson, N Oliver, A Hanjalic
Proceedings of the sixth ACM conference on Recommender Systems (RecSys), 139-146, 2012
TFMAP: Optimizing MAP for Top-N Context-aware Recommendation
Y Shi, A Karatzoglou, L Baltrunas, M Larson, A Hanjalic, N Oliver
Proceedings of the 35th international ACM SIGIR conference on Research and …, 2012
Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations
B Hidasi, M Quadrana, A Karatzoglou, D Tikk
Proceedings of the 10th ACM Conference on Recommender Systems (RecSys), 2016
Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks
M Quadrana, A Karatzoglou, B Hidasi, P Cremonesi
Proceedings of the Eleventh ACM Conference on Recommender Systems (RecSys …, 2017
Collaborative Filtering Bandits
S Li, A Karatzoglou, C Gentile
Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016
Improving Maximum Margin Matrix Factorization
M Weimer, A Karatzoglou, A Smola
Machine Learning 72 (3), 263-276, 2008
kernlab: Kernel-based Machine Learning Lab
A Karatzoglou, A Smola, K Hornik
The Comprehensive R Archive Network (CRAN), 2013
Recurrent Neural Networks with Top-k Gains for Session-based Recommendations
B Hidasi, A Karatzoglou
arXiv preprint arXiv:1706.03847, 2017
Climbing the App Wall: Enabling Mobile App Discovery Through Context-aware Recommendations
A Karatzoglou, L Baltrunas, K Church, M Böhmer
Proceedings of the 21st ACM International Conference on Information and …, 2012
Overcoming Catastrophic Forgetting with Hard Attention to the Task
J Serrà, D Surís, M Miron, A Karatzoglou
Proceedings of the 35th International Conference on Machine Learning (ICML), 2018
An Approach to Water Supply Clusters by Semi-supervised Learning
M Herrera, S Canu, A Karatzoglou, R Pérez-García, J Izquierdo
Proceedings of International Environmental Modelling and Software Society …, 2010
Learning to Rank for Recommender Systems
A Karatzoglou, L Baltrunas, Y Shi
Proceedings of the 7th ACM conference on Recommender Systems (RecSys), 493-494, 2013
Coverage, Redundancy and Size-awareness in Genre Diversity for Recommender Systems
S Vargas, L Baltrunas, A Karatzoglou, P Castells
Proceedings of the 8th ACM Conference on Recommender Systems (RecSys), 209-216, 2014
Towards a Psychographic User Model from Mobile Phone Usage
R de Oliveira, A Karatzoglou, P Concejero Cerezo, ...
CHI'11 Extended Abstracts on Human Factors in Computing Systems, 2191-2196, 2011
Gaussian Process Factorization Machines for Context-aware Recommendations
TV Nguyen, A Karatzoglou, L Baltrunas
Proceedings of the 37th international ACM SIGIR conference on Research …, 2014
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