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Alexandros Karatzoglou
Person information
- affiliation: Telefonica Research, Barcelona, Spain
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2020 – today
- 2024
- [c63]Jie Wang
, Alexandros Karatzoglou
, Ioannis Arapakis
, Joemon M. Jose
:
Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling. SIGIR 2024: 375-385 - [c62]Junchen Fu
, Xuri Ge
, Xin Xin
, Alexandros Karatzoglou
, Ioannis Arapakis
, Jie Wang
, Joemon M. Jose
:
IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT. SIGIR 2024: 687-697 - [i27]Jie Wang, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose:
Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling. CoRR abs/2403.16948 (2024) - [i26]Junchen Fu, Xuri Ge, Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Jie Wang, Joemon M. Jose:
IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT. CoRR abs/2404.02059 (2024) - 2023
- [c61]Bo Chang
, Alexandros Karatzoglou
, Yuyan Wang
, Can Xu
, Ed H. Chi
, Minmin Chen
:
Latent User Intent Modeling for Sequential Recommenders. WWW (Companion Volume) 2023: 427-431 - [c60]Abhishek Naik
, Bo Chang
, Alexandros Karatzoglou
, Martin Mladenov
, Ed H. Chi
, Minmin Chen
:
Investigating Action-Space Generalization in Reinforcement Learning for Recommendation Systems. WWW (Companion Volume) 2023: 966-972 - 2022
- [c59]Xin Xin
, Tiago Pimentel, Alexandros Karatzoglou, Pengjie Ren, Konstantina Christakopoulou, Zhaochun Ren:
Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective. SIGIR 2022: 1347-1357 - [c58]Yang Sun
, Fajie Yuan, Min Yang, Alexandros Karatzoglou, Li Shen, Xiaoyan Zhao:
Enhancing Top-N Item Recommendations by Peer Collaboration. SIGIR 2022: 1895-1900 - [c57]Dusan Stamenkovic, Alexandros Karatzoglou, Ioannis Arapakis, Xin Xin
, Kleomenis Katevas:
Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning. WSDM 2022: 957-965 - [c56]Xin Xin
, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose:
Supervised Advantage Actor-Critic for Recommender Systems. WSDM 2022: 1186-1196 - [i25]Xin Xin, Tiago Pimentel, Alexandros Karatzoglou, Pengjie Ren, Konstantina Christakopoulou, Zhaochun Ren:
Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective. CoRR abs/2206.07353 (2022) - [i24]Bo Chang, Alexandros Karatzoglou, Yuyan Wang, Can Xu, Ed H. Chi, Minmin Chen:
Latent User Intent Modeling for Sequential Recommenders. CoRR abs/2211.09832 (2022) - 2021
- [j4]Paula Gómez Duran
, Alexandros Karatzoglou, Jordi Vitrià
, Xin Xin, Ioannis Arapakis:
Graph Convolutional Embeddings for Recommender Systems. IEEE Access 9: 100173-100184 (2021) - [c55]Preksha Nema, Alexandros Karatzoglou, Filip Radlinski:
Disentangling Preference Representations for Recommendation Critiquing with ß-VAE. CIKM 2021: 1356-1365 - [c54]Fajie Yuan, Guoxiao Zhang, Alexandros Karatzoglou, Joemon M. Jose, Beibei Kong, Yudong Li:
One Person, One Model, One World: Learning Continual User Representation without Forgetting. SIGIR 2021: 696-705 - [c53]Krisztian Balog, Filip Radlinski, Alexandros Karatzoglou:
On Interpretation and Measurement of Soft Attributes for Recommendation. SIGIR 2021: 890-899 - [i23]Paula Gómez Duran, Alexandros Karatzoglou, Jordi Vitrià, Xin Xin, Ioannis Arapakis:
Graph Convolutional Embeddings for Recommender Systems. CoRR abs/2103.03587 (2021) - [i22]Krisztian Balog, Filip Radlinski, Alexandros Karatzoglou:
On Interpretation and Measurement of Soft Attributes for Recommendation. CoRR abs/2105.09179 (2021) - [i21]Dusan Stamenkovic, Alexandros Karatzoglou, Ioannis Arapakis, Xin Xin, Kleomenis Katevas:
Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning. CoRR abs/2110.15097 (2021) - [i20]Yang Sun, Fajie Yuan, Min Yang, Alexandros Karatzoglou, Shen Li, Xiaoyan Zhao:
Enhancing Top-N Item Recommendations by Peer Collaboration. CoRR abs/2111.00429 (2021) - [i19]Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose:
Supervised Advantage Actor-Critic for Recommender Systems. CoRR abs/2111.03474 (2021) - 2020
- [c52]Xin Xin
, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose:
Self-Supervised Reinforcement Learning for Recommender Systems. SIGIR 2020: 931-940 - [c51]Fajie Yuan, Xiangnan He, Alexandros Karatzoglou, Liguang Zhang:
Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation. SIGIR 2020: 1469-1478 - [i18]Fajie Yuan, Xiangnan He, Alexandros Karatzoglou, Liguang Zhang:
Parameter-Efficient Transfer from Sequential Behaviors for User Profiling and Recommendation. CoRR abs/2001.04253 (2020) - [i17]Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose:
Graph Highway Networks. CoRR abs/2004.04635 (2020) - [i16]Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose:
Self-Supervised Reinforcement Learning for Recommender Systems. CoRR abs/2006.05779 (2020) - [i15]Fajie Yuan, Guoxiao Zhang, Alexandros Karatzoglou, Xiangnan He, Joemon M. Jose, Beibei Kong, Yudong Li:
One Person, One Model, One World: Learning Continual User Representation without Forgetting. CoRR abs/2009.13724 (2020)
2010 – 2019
- 2019
- [c50]Fajie Yuan, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose, Xiangnan He:
A Simple Convolutional Generative Network for Next Item Recommendation. WSDM 2019: 582-590 - 2018
- [c49]Joan Serrà, Santiago Pascual, Alexandros Karatzoglou:
Towards a Universal Neural Network Encoder for Time Series. CCIA 2018: 120-129 - [c48]Balázs Hidasi
, Alexandros Karatzoglou:
Recurrent Neural Networks with Top-k Gains for Session-based Recommendations. CIKM 2018: 843-852 - [c47]Oren Sar Shalom, Haggai Roitman, Amihood Amir, Alexandros Karatzoglou:
Collaborative Filtering Method for Handling Diverse and Repetitive User-Item Interactions. HT 2018: 43-51 - [c46]Joan Serrà, Didac Suris, Marius Miron, Alexandros Karatzoglou:
Overcoming Catastrophic Forgetting with Hard Attention to the Task. ICML 2018: 4555-4564 - [c45]Oren Sar Shalom, Guy Uziel, Alexandros Karatzoglou, Amir Kantor:
A Word is Worth a Thousand Ratings: Augmenting Ratings using Reviews for Collaborative Filtering. ICTIR 2018: 11-18 - [c44]Balázs Hidasi
, Alexandros Karatzoglou, Oren Sar Shalom, Bracha Shapira
, Domonkos Tikk, Flavian Vasile, Sander Dieleman:
DLRS 2018: third workshop on deep learning for recommender systems. RecSys 2018: 512-513 - [e3]Balázs Hidasi
, Alexandros Karatzoglou, Oren Sar Shalom, Bracha Shapira, Domonkos Tikk, Flavian Vasile, Sander Dieleman:
Proceedings of the 3rd Workshop on Deep Learning for Recommender Systems, DLRS@RecSys 2018, Vancouver, BC, Canada, October 6, 2018. ACM 2018, ISBN 978-1-4503-6617-5 [contents] - [i14]Joan Serrà, Dídac Surís, Marius Miron, Alexandros Karatzoglou:
Overcoming catastrophic forgetting with hard attention to the task. CoRR abs/1801.01423 (2018) - [i13]Joan Serrà, Santiago Pascual, Alexandros Karatzoglou:
Towards a universal neural network encoder for time series. CoRR abs/1805.03908 (2018) - [i12]David Rohde, Stephen Bonner
, Travis Dunlop, Flavian Vasile, Alexandros Karatzoglou:
RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising. CoRR abs/1808.00720 (2018) - [i11]Fajie Yuan, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose, Xiangnan He:
A Simple but Hard-to-Beat Baseline for Session-based Recommendations. CoRR abs/1808.05163 (2018) - 2017
- [c43]Joan Serrà, Ilias Leontiadis, Alexandros Karatzoglou, Konstantina Papagiannaki:
Hot or Not? Forecasting Cellular Network Hot Spots Using Sector Performance Indicators. ICDE 2017: 259-270 - [c42]Joan Serrà, Alexandros Karatzoglou:
Compact Embedding of Binary-coded Inputs and Outputs using Bloom Filters. ICLR (Workshop) 2017 - [c41]Claudio Gentile, Shuai Li, Purushottam Kar, Alexandros Karatzoglou, Giovanni Zappella, Evans Etrue:
On Context-Dependent Clustering of Bandits. ICML 2017: 1253-1262 - [c40]Massimo Quadrana, Alexandros Karatzoglou, Balázs Hidasi
, Paolo Cremonesi
:
Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks. RecSys 2017: 130-137 - [c39]Joan Serrà, Alexandros Karatzoglou:
Getting Deep Recommenders Fit: Bloom Embeddings for Sparse Binary Input/Output Networks. RecSys 2017: 279-287 - [c38]Balázs Hidasi
, Alexandros Karatzoglou, Oren Sar Shalom, Sander Dieleman, Bracha Shapira
, Domonkos Tikk:
DLRS 2017: Second Workshop on Deep Learning for Recommender Systems. RecSys 2017: 370-371 - [c37]Alexandros Karatzoglou, Balázs Hidasi
:
Deep Learning for Recommender Systems. RecSys 2017: 396-397 - [e2]Balázs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Sander Dieleman, Bracha Shapira, Domonkos Tikk:
Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems, DLRS@RecSys 2017, Como, Italy, August 27, 2017. ACM 2017, ISBN 978-1-4503-5353-3 [contents] - [i10]Joan Serrà, Ilias Leontiadis, Alexandros Karatzoglou, Konstantina Papagiannaki:
Hot or not? Forecasting cellular network hot spots using sector performance indicators. CoRR abs/1704.05249 (2017) - [i9]Balázs Hidasi, Alexandros Karatzoglou:
Recurrent Neural Networks with Top-k Gains for Session-based Recommendations. CoRR abs/1706.03847 (2017) - [i8]Joan Serrà, Alexandros Karatzoglou:
Getting deep recommenders fit: Bloom embeddings for sparse binary input/output networks. CoRR abs/1706.03993 (2017) - [i7]Massimo Quadrana, Alexandros Karatzoglou, Balázs Hidasi, Paolo Cremonesi:
Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks. CoRR abs/1706.04148 (2017) - 2016
- [c36]Joan Serrà, Aleksandar Matic, Josep Lluís Arcos
, Alexandros Karatzoglou:
A Genetic Algorithm to Discover Flexible Motifs with Support. ICDM Workshops 2016: 1153-1158 - [c35]Balázs Hidasi
, Massimo Quadrana, Alexandros Karatzoglou, Domonkos Tikk:
Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations. RecSys 2016: 241-248 - [c34]Roberto Pagano, Paolo Cremonesi
, Martha A. Larson, Balázs Hidasi
, Domonkos Tikk, Alexandros Karatzoglou, Massimo Quadrana:
The Contextual Turn: from Context-Aware to Context-Driven Recommender Systems. RecSys 2016: 249-252 - [c33]Alexandros Karatzoglou, Balázs Hidasi
, Domonkos Tikk, Oren Sar Shalom, Haggai Roitman, Bracha Shapira
, Lior Rokach:
RecSys'16 Workshop on Deep Learning for Recommender Systems (DLRS). RecSys 2016: 415-416 - [c32]Shuai Li, Alexandros Karatzoglou, Claudio Gentile:
Collaborative Filtering Bandits. SIGIR 2016: 539-548 - [c31]Balázs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, Domonkos Tikk:
Session-based Recommendations with Recurrent Neural Networks. ICLR (Poster) 2016 - [e1]Alexandros Karatzoglou, Balázs Hidasi
, Domonkos Tikk, Oren Sar Shalom, Haggai Roitman, Bracha Shapira, Lior Rokach:
Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, DLRS@RecSys 2016, Boston, MA, USA, September 15, 2016. ACM 2016, ISBN 978-1-4503-4795-2 [contents] - [i6]Shuai Li, Claudio Gentile, Alexandros Karatzoglou:
Graph Clustering Bandits for Recommendation. CoRR abs/1605.00596 (2016) - [i5]Shuai Li, Claudio Gentile, Alexandros Karatzoglou, Giovanni Zappella:
Online Context-Dependent Clustering in Recommendations based on Exploration-Exploitation Algorithms. CoRR abs/1608.03544 (2016) - 2015
- [c30]Babak Loni, Martha A. Larson, Alexandros Karatzoglou, Alan Hanjalic:
Recommendation with the Right Slice: Speeding Up Collaborative Filtering with Factorization Machines. RecSys Posters 2015 - [i4]Shuai Li, Claudio Gentile, Alexandros Karatzoglou, Giovanni Zappella:
Data-Dependent Clustering in Exploration-Exploitation Algorithms. CoRR abs/1502.03473 (2015) - [i3]Linas Baltrunas, Karen Church, Alexandros Karatzoglou, Nuria Oliver:
Frappe: Understanding the Usage and Perception of Mobile App Recommendations In-The-Wild. CoRR abs/1505.03014 (2015) - [i2]Joan Serrà, Aleksandar Matic, Josep Lluís Arcos, Alexandros Karatzoglou:
A genetic algorithm to discover flexible motifs with support. CoRR abs/1511.04986 (2015) - 2014
- [c29]Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic:
CARS2: Learning Context-aware Representations for Context-aware Recommendations. CIKM 2014: 291-300 - [c28]José San Pedro, Alexandros Karatzoglou:
Question recommendation for collaborative question answering systems with RankSLDA. RecSys 2014: 193-200 - [c27]Saúl Vargas
, Linas Baltrunas, Alexandros Karatzoglou, Pablo Castells
:
Coverage, redundancy and size-awareness in genre diversity for recommender systems. RecSys 2014: 209-216 - [c26]Martha A. Larson, Paolo Cremonesi
, Alexandros Karatzoglou:
Overview of ACM RecSys CrowdRec 2014 workshop: crowdsourcing and human computation for recommender systems. RecSys 2014: 381-382 - [c25]Trung V. Nguyen, Alexandros Karatzoglou, Linas Baltrunas:
Gaussian process factorization machines for context-aware recommendations. SIGIR 2014: 63-72 - [c24]Alan Said, Martha A. Larson, Domonkos Tikk, Paolo Cremonesi, Alexandros Karatzoglou, Frank Hopfgartner, Roberto Turrin, Joost Geurts:
User-Item Reciprocity in Recommender Systems: Incentivizing the Crowd. UMAP Workshops 2014 - 2013
- [c23]José San Pedro, Alexandros Karatzoglou:
Multiple Outcome Supervised Latent Dirichlet Allocation for Expert Discovery in Online Forums. AAAI (Late-Breaking Developments) 2013 - [c22]Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic:
GAPfm: optimal top-n recommendations for graded relevance domains. CIKM 2013: 2261-2266 - [c21]Joachim Neumann, Manqi Zao, Alexandros Karatzoglou, Nuria Oliver
:
Event Detection in Communication and Transportation Data. IbPRIA 2013: 827-838 - [c20]Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Nuria Oliver, Alan Hanjalic:
CLiMF: Collaborative Less-Is-More Filtering. IJCAI 2013: 3077-3081 - [c19]Julien Delporte, Alexandros Karatzoglou, Tomasz Matuszczyk, Stéphane Canu
:
Socially Enabled Preference Learning from Implicit Feedback Data. ECML/PKDD (2) 2013: 145-160 - [c18]Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic:
xCLiMF: optimizing expected reciprocal rank for data with multiple levels of relevance. RecSys 2013: 431-434 - [c17]Alexandros Karatzoglou, Linas Baltrunas, Yue Shi:
Learning to rank for recommender systems. RecSys 2013: 493-494 - [i1]Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic:
GAPfm: Optimal Top-N Recommendations for Graded Relevance Domains. CoRR abs/1307.3855 (2013) - 2012
- [c16]Julien Delporte, Stéphane Canu, Alexandros Karatzoglou:
Apprentissage et Factorisation pour la Recommandation. AAFD 2012: 1-26 - [c15]Alexandros Karatzoglou, Linas Baltrunas, Karen Church, Matthias Böhmer:
Climbing the app wall: enabling mobile app discovery through context-aware recommendations. CIKM 2012: 2527-2530 - [c14]Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Nuria Oliver
, Alan Hanjalic:
CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering. RecSys 2012: 139-146 - [c13]Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic, Nuria Oliver
:
TFMAP: optimizing MAP for top-n context-aware recommendation. SIGIR 2012: 155-164 - 2011
- [c12]Rodrigo de Oliveira, Alexandros Karatzoglou, Pedro Concejero Cerezo, Ana Armenta Lopez de Vicuña, Nuria Oliver
:
Towards a psychographic user model from mobile phone usage. CHI Extended Abstracts 2011: 2191-2196 - [c11]Alexandros Karatzoglou:
Collaborative temporal order modeling. RecSys 2011: 313-316 - 2010
- [j3]Alexandros Karatzoglou, Ingo Feinerer
:
Kernel-based machine learning for fast text mining in R. Comput. Stat. Data Anal. 54(2): 290-297 (2010) - [c10]Alexandros Karatzoglou, Markus Weimer:
Quantile Matrix Factorization for Collaborative Filtering. EC-Web 2010: 253-264 - [c9]Alexandros Karatzoglou, Xavier Amatriain, Linas Baltrunas, Nuria Oliver
:
Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering. RecSys 2010: 79-86 - [c8]Alexandros Karatzoglou, Alexander J. Smola, Markus Weimer:
Collaborative Filtering on a Budget. AISTATS 2010: 389-396 - [p1]Alexandros Karatzoglou, Markus Weimer:
Collaborative Preference Learning. Preference Learning 2010: 409-427
2000 – 2009
- 2009
- [c7]Markus Weimer, Alexandros Karatzoglou, Marcel Bruch:
Maximum margin matrix factorization for code recommendation. RecSys 2009: 309-312 - 2008
- [j2]Markus Weimer, Alexandros Karatzoglou, Alexander J. Smola:
Improving maximum margin matrix factorization. Mach. Learn. 72(3): 263-276 (2008) - [c6]Alexandros Karatzoglou, Ingo Feinerer
, Kurt Hornik:
Nonparametric Distribution Analysis for Text Mining. GfKl 2008: 295-305 - [c5]Markus Weimer, Alexandros Karatzoglou, Alexander J. Smola:
Improving Maximum Margin Matrix Factorization. ECML/PKDD (1) 2008: 14 - [c4]Markus Weimer, Alexandros Karatzoglou, Alexander J. Smola:
Adaptive collaborative filtering. RecSys 2008: 275-282 - 2007
- [c3]Markus Weimer, Alexandros Karatzoglou, Quoc V. Le, Alexander J. Smola:
COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking . NIPS 2007: 1593-1600 - 2006
- [c2]Alexandros Karatzoglou, Ingo Feinerer
:
Text Clustering with String Kernels in R. GfKl 2006: 91-98 - 2005
- [c1]Alexandros Karatzoglou, S. V. N. Vishwanathan, Nicol N. Schraudolph, Alexander J. Smola:
Step size-adapted online support vector learning. ISSPA 2005: 823-826 - 2003
- [j1]Brian Sallans, Alexander Pfister, Alexandros Karatzoglou, Georg Dorffner:
Simulation and Validation of an Integrated Markets Model. J. Artif. Soc. Soc. Simul. 6(4) (2003)
Coauthor Index
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