Seguir
Alexandros Karatzoglou
Alexandros Karatzoglou
Google Deepmind
Dirección de correo verificada de google.com - Página principal
Título
Citado por
Citado por
Año
Session-based Recommendations with Recurrent Neural Networks
B Hidasi, A Karatzoglou, L Baltrunas, D Tikk
International Conference on Learning Representations ICLR 2016, 2016
37572016
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
23512004
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, 2018
12392018
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
11002010
Recurrent Neural Networks with Top-k Gains for Session-based Recommendations
B Hidasi, A Karatzoglou
Proceedings of the 27th ACM CIKM International Conference on Information and …, 2018
9822018
Support Vector Machines in R
A Karatzoglou, D Meyer, K Hornik
Journal of Statistical Software 15 (09), 2006
908*2006
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
8132017
A Simple Convolutional Generative Network for Next Item Recommendation
F Yuan, A Karatzoglou, I Arapakis, JM Jose, X He
Proceedings of the Twelfth ACM WSDM International Conference on Web Search …, 2019
6202019
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
6052016
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
5372008
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
4442012
Collaborative Filtering Bandits
S Li, A Karatzoglou, C Gentile
Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016
4182016
kernlab: Kernel-based Machine Learning Lab
A Karatzoglou, A Smola, K Hornik
The Comprehensive R Archive Network CRAN, 2013
320*2013
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
2792012
Self-Supervised Reinforcement Learning for Recommender Systems
X Xin, A Karatzoglou, I Arapakis, JM Jose
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
2352020
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
1962013
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
1952014
RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising.
D Rohde, S Bonner, T Dunlop, F Vasile, A Karatzoglou
arXiv preprint arXiv:1808.00720, 2018
1932018
Towards a Universal Neural Network Encoder for Time Series
J Serrà, S Pascual, A Karatzoglou
arXiv preprint arXiv:1805.03908, 2018
1762018
Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation
F Yuan, X He, A Karatzoglou, L Zhang
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
1742020
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20