Alexandros Karatzoglou

111 papers A* 17A 29Misc 2Journal 40Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Differentiable Semantic ID for Generative Recommendation. CoRR Junchen Fu, Xuri Ge, Alexandros Karatzoglou, Ioannis Arapakis, Suzan Verberne, Joemon M. Jose, Zhaochun Ren
2025	J	`jnl`	Beyond Accuracy: Decision Transformers for Reward-Driven Multi-Objective Recommendations. IEEE Trans. Knowl. Data Eng. Jie Wang, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose, Xuri Ge
2025	J	`jnl`	Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation. IEEE Trans. Knowl. Data Eng. Junchen Fu, Xuri Ge, Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Kaiwen Zheng, Yongxin Ni, Joemon M. Jose
2025	J	`jnl`	Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies. CoRR Piotr Piekos, Subhradeep Kayal, Alexandros Karatzoglou
2025	A	`conf`	Large Language Model driven Policy Exploration for Recommender Systems. WSDM Jie Wang, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose
2025	J	`jnl`	Large Language Model driven Policy Exploration for Recommender Systems. CoRR Jie Wang, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose
2025	A*	`conf`	Seeing Eye to AI: Human Alignment via Gaze-Based Response Rewards for Large Language Models. ICLR Ángela López-Cardona, Carlos Segura, Alexandros Karatzoglou, Sergi Abadal, Ioannis Arapakis
2025	—	`conf`	The 1st EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval. WWW (Companion Volume) Junchen Fu, Xuri Ge, Xin Xin, Haitao Yu, Yue Feng, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose
2025	J	`jnl`	The 1st EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval. CoRR Junchen Fu, Xuri Ge, Xin Xin, Haitao Yu, Yue Feng, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose
2024	J	`jnl`	Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation. CoRR Junchen Fu, Xuri Ge, Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Kaiwen Zheng, Yongxin Ni, Joemon M. Jose
2024	A*	`conf`	IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT. SIGIR Junchen Fu, Xuri Ge, Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Jie Wang, Joemon M. Jose
2024	J	`jnl`	IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT. CoRR Junchen Fu, Xuri Ge, Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Jie Wang, Joemon M. Jose
2024	J	`jnl`	PERSOMA: PERsonalized SOft ProMpt Adapter Architecture for Personalized Language Prompting. CoRR Liam Hebert, Krishna Sayana, Ambarish Jash, Alexandros Karatzoglou, Sukhdeep S. Sodhi, Sumanth Doddapaneni, Yanli Cai, Dima Kuzmin
2024	A*	`conf`	Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling. SIGIR Jie Wang, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose
2024	J	`jnl`	Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling. CoRR Jie Wang, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose
2024	J	`jnl`	Seeing Eye to AI: Human Alignment via Gaze-Based Response Rewards for Large Language Models. CoRR Ángela López-Cardona, Carlos Segura, Alexandros Karatzoglou, Sergi Abadal, Ioannis Arapakis
2024	A	`conf`	Sparks of Surprise: Multi-objective Recommendations with Hierarchical Decision Transformers for Diversity, Novelty, and Serendipity. CIKM Jie Wang, Alexandros Karatzoglou, Ioannis Arapakis, Xin Xin, Xuri Ge, Joemon M. Jose
2023	—	`conf`	Investigating Action-Space Generalization in Reinforcement Learning for Recommendation Systems. WWW (Companion Volume) Abhishek Naik, Bo Chang, Alexandros Karatzoglou, Martin Mladenov, Ed H. Chi, Minmin Chen
2023	—	`conf`	Latent User Intent Modeling for Sequential Recommenders. WWW (Companion Volume) Bo Chang, Alexandros Karatzoglou, Yuyan Wang, Can Xu, Ed H. Chi, Minmin Chen
2022	A	`conf`	Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning. WSDM Dusan Stamenkovic, Alexandros Karatzoglou, Ioannis Arapakis, Xin Xin, Kleomenis Katevas
2022	A*	`conf`	Enhancing Top-N Item Recommendations by Peer Collaboration. SIGIR Yang Sun, Fajie Yuan, Min Yang, Alexandros Karatzoglou, Li Shen, Xiaoyan Zhao
2022	J	`jnl`	Latent User Intent Modeling for Sequential Recommenders. CoRR Bo Chang, Alexandros Karatzoglou, Yuyan Wang, Can Xu, Ed H. Chi, Minmin Chen
2022	A*	`conf`	Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective. SIGIR Xin Xin, Tiago Pimentel, Alexandros Karatzoglou, Pengjie Ren, Konstantina Christakopoulou, Zhaochun Ren
2022	J	`jnl`	Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective. CoRR Xin Xin, Tiago Pimentel, Alexandros Karatzoglou, Pengjie Ren, Konstantina Christakopoulou, Zhaochun Ren
2022	A	`conf`	Supervised Advantage Actor-Critic for Recommender Systems. WSDM Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose
2021	J	`jnl`	Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning. CoRR Dusan Stamenkovic, Alexandros Karatzoglou, Ioannis Arapakis, Xin Xin, Kleomenis Katevas
2021	A	`conf`	Disentangling Preference Representations for Recommendation Critiquing with ß-VAE. CIKM Preksha Nema, Alexandros Karatzoglou, Filip Radlinski
2021	J	`jnl`	Enhancing Top-N Item Recommendations by Peer Collaboration. CoRR Yang Sun, Fajie Yuan, Min Yang, Alexandros Karatzoglou, Shen Li, Xiaoyan Zhao
2021	J	`jnl`	Graph Convolutional Embeddings for Recommender Systems. IEEE Access Paula Gómez Duran, Alexandros Karatzoglou, Jordi Vitrià, Xin Xin, Ioannis Arapakis
2021	J	`jnl`	Graph Convolutional Embeddings for Recommender Systems. CoRR Paula Gómez Duran, Alexandros Karatzoglou, Jordi Vitrià, Xin Xin, Ioannis Arapakis
2021	A*	`conf`	On Interpretation and Measurement of Soft Attributes for Recommendation. SIGIR Krisztian Balog, Filip Radlinski, Alexandros Karatzoglou
2021	J	`jnl`	On Interpretation and Measurement of Soft Attributes for Recommendation. CoRR Krisztian Balog, Filip Radlinski, Alexandros Karatzoglou
2021	A*	`conf`	One Person, One Model, One World: Learning Continual User Representation without Forgetting. SIGIR Fajie Yuan, Guoxiao Zhang, Alexandros Karatzoglou, Joemon M. Jose, Beibei Kong, Yudong Li
2021	J	`jnl`	Supervised Advantage Actor-Critic for Recommender Systems. CoRR Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose
2020	J	`jnl`	Graph Highway Networks. CoRR Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose
2020	J	`jnl`	One Person, One Model, One World: Learning Continual User Representation without Forgetting. CoRR Fajie Yuan, Guoxiao Zhang, Alexandros Karatzoglou, Joemon M. Jose, Beibei Kong, Yudong Li
2020	A*	`conf`	Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation. SIGIR Fajie Yuan, Xiangnan He, Alexandros Karatzoglou, Liguang Zhang
2020	J	`jnl`	Parameter-Efficient Transfer from Sequential Behaviors for User Profiling and Recommendation. CoRR Fajie Yuan, Xiangnan He, Alexandros Karatzoglou, Liguang Zhang
2020	A*	`conf`	Self-Supervised Reinforcement Learning for Recommender Systems. SIGIR Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose
2020	J	`jnl`	Self-Supervised Reinforcement Learning for Recommender Systems. CoRR Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose
2019	A	`conf`	A Simple Convolutional Generative Network for Next Item Recommendation. WSDM Fajie Yuan, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose, Xiangnan He
2018	J	`jnl`	A Simple but Hard-to-Beat Baseline for Session-based Recommendations. CoRR Fajie Yuan, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose, Xiangnan He
2018	Misc	`conf`	A Word is Worth a Thousand Ratings: Augmenting Ratings using Reviews for Collaborative Filtering. ICTIR Oren Sar Shalom, Guy Uziel, Alexandros Karatzoglou, Amir Kantor
2018	—	`conf`	Collaborative Filtering Method for Handling Diverse and Repetitive User-Item Interactions. HT Oren Sar Shalom, Haggai Roitman, Amihood Amir, Alexandros Karatzoglou
2018	A	`conf`	DLRS 2018: third workshop on deep learning for recommender systems. RecSys Balázs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Bracha Shapira, Domonkos Tikk, Flavian Vasile, Sander Dieleman
2018	A*	`conf`	Overcoming Catastrophic Forgetting with Hard Attention to the Task. ICML Joan Serrà, Didac Suris, Marius Miron, Alexandros Karatzoglou
2018	J	`jnl`	Overcoming catastrophic forgetting with hard attention to the task. CoRR Joan Serrà, Dídac Surís, Marius Miron, Alexandros Karatzoglou
2018	—	`ed.`	Proceedings of the 3rd Workshop on Deep Learning for Recommender Systems, DLRS@RecSys 2018, Vancouver, BC, Canada, October 6, 2018 DLRS Balázs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Bracha Shapira, Domonkos Tikk, Flavian Vasile, Sander Dieleman
2018	J	`jnl`	RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising. CoRR David Rohde, Stephen Bonner, Travis Dunlop, Flavian Vasile, Alexandros Karatzoglou
2018	A	`conf`	Recurrent Neural Networks with Top-k Gains for Session-based Recommendations. CIKM Balázs Hidasi, Alexandros Karatzoglou
2018	—	`conf`	Towards a Universal Neural Network Encoder for Time Series. CCIA Joan Serrà, Santiago Pascual, Alexandros Karatzoglou
2018	J	`jnl`	Towards a universal neural network encoder for time series. CoRR Joan Serrà, Santiago Pascual, Alexandros Karatzoglou
2017	—	`conf`	Compact Embedding of Binary-coded Inputs and Outputs using Bloom Filters. ICLR (Workshop) Joan Serrà, Alexandros Karatzoglou
2017	A	`conf`	DLRS 2017: Second Workshop on Deep Learning for Recommender Systems. RecSys Balázs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Sander Dieleman, Bracha Shapira, Domonkos Tikk
2017	A	`conf`	Deep Learning for Recommender Systems. RecSys Alexandros Karatzoglou, Balázs Hidasi
2017	A	`conf`	Getting Deep Recommenders Fit: Bloom Embeddings for Sparse Binary Input/Output Networks. RecSys Joan Serrà, Alexandros Karatzoglou
2017	J	`jnl`	Getting deep recommenders fit: Bloom embeddings for sparse binary input/output networks. CoRR Joan Serrà, Alexandros Karatzoglou
2017	A*	`conf`	Hot or Not? Forecasting Cellular Network Hot Spots Using Sector Performance Indicators. ICDE Joan Serrà, Ilias Leontiadis, Alexandros Karatzoglou, Konstantina Papagiannaki
2017	J	`jnl`	Hot or not? Forecasting cellular network hot spots using sector performance indicators. CoRR Joan Serrà, Ilias Leontiadis, Alexandros Karatzoglou, Konstantina Papagiannaki
2017	A*	`conf`	On Context-Dependent Clustering of Bandits. ICML Claudio Gentile, Shuai Li, Purushottam Kar, Alexandros Karatzoglou, Giovanni Zappella, Evans Etrue
2017	A	`conf`	Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks. RecSys Massimo Quadrana, Alexandros Karatzoglou, Balázs Hidasi, Paolo Cremonesi
2017	J	`jnl`	Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks. CoRR Massimo Quadrana, Alexandros Karatzoglou, Balázs Hidasi, Paolo Cremonesi
2017	—	`ed.`	Proceedings of the 2nd Workshop on Deep Learning for Recommender Systems, DLRS@RecSys 2017, Como, Italy, August 27, 2017 DLRS@RecSys Balázs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Sander Dieleman, Bracha Shapira, Domonkos Tikk
2017	J	`jnl`	Recurrent Neural Networks with Top-k Gains for Session-based Recommendations. CoRR Balázs Hidasi, Alexandros Karatzoglou
2016	—	`conf`	A Genetic Algorithm to Discover Flexible Motifs with Support. ICDM Workshops Joan Serrà, Aleksandar Matic, Josep Lluís Arcos, Alexandros Karatzoglou
2016	A*	`conf`	Collaborative Filtering Bandits. SIGIR Shuai Li, Alexandros Karatzoglou, Claudio Gentile
2016	J	`jnl`	Graph Clustering Bandits for Recommendation. CoRR Shuai Li, Claudio Gentile, Alexandros Karatzoglou
2016	J	`jnl`	Online Context-Dependent Clustering in Recommendations based on Exploration-Exploitation Algorithms. CoRR Shuai Li, Claudio Gentile, Alexandros Karatzoglou, Giovanni Zappella
2016	A	`conf`	Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations. RecSys Balázs Hidasi, Massimo Quadrana, Alexandros Karatzoglou, Domonkos Tikk
2016	—	`ed.`	Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, DLRS@RecSys 2016, Boston, MA, USA, September 15, 2016 DLRS@RecSys Alexandros Karatzoglou, Balázs Hidasi, Domonkos Tikk, Oren Sar Shalom, Haggai Roitman, Bracha Shapira, Lior Rokach
2016	A	`conf`	RecSys'16 Workshop on Deep Learning for Recommender Systems (DLRS). RecSys Alexandros Karatzoglou, Balázs Hidasi, Domonkos Tikk, Oren Sar Shalom, Haggai Roitman, Bracha Shapira, Lior Rokach
2016	A*	`conf`	Session-based Recommendations with Recurrent Neural Networks. ICLR (Poster) Balázs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, Domonkos Tikk
2016	A	`conf`	The Contextual Turn: from Context-Aware to Context-Driven Recommender Systems. RecSys Roberto Pagano, Paolo Cremonesi, Martha A. Larson, Balázs Hidasi, Domonkos Tikk, Alexandros Karatzoglou, Massimo Quadrana
2015	J	`jnl`	A genetic algorithm to discover flexible motifs with support. CoRR Joan Serrà, Aleksandar Matic, Josep Lluís Arcos, Alexandros Karatzoglou
2015	J	`jnl`	Data-Dependent Clustering in Exploration-Exploitation Algorithms. CoRR Shuai Li, Claudio Gentile, Alexandros Karatzoglou, Giovanni Zappella
2015	J	`jnl`	Frappe: Understanding the Usage and Perception of Mobile App Recommendations In-The-Wild. CoRR Linas Baltrunas, Karen Church, Alexandros Karatzoglou, Nuria Oliver
2015	—	`conf`	Recommendation with the Right Slice: Speeding Up Collaborative Filtering with Factorization Machines. RecSys Posters Babak Loni, Martha A. Larson, Alexandros Karatzoglou, Alan Hanjalic
2014	A	`conf`	CARS2: Learning Context-aware Representations for Context-aware Recommendations. CIKM Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic
2014	A	`conf`	Coverage, redundancy and size-awareness in genre diversity for recommender systems. RecSys Saúl Vargas, Linas Baltrunas, Alexandros Karatzoglou, Pablo Castells
2014	A*	`conf`	Gaussian process factorization machines for context-aware recommendations. SIGIR Trung V. Nguyen, Alexandros Karatzoglou, Linas Baltrunas
2014	A	`conf`	Overview of ACM RecSys CrowdRec 2014 workshop: crowdsourcing and human computation for recommender systems. RecSys Martha A. Larson, Paolo Cremonesi, Alexandros Karatzoglou
2014	A	`conf`	Question recommendation for collaborative question answering systems with RankSLDA. RecSys José San Pedro, Alexandros Karatzoglou
2014	—	`conf`	User-Item Reciprocity in Recommender Systems: Incentivizing the Crowd. UMAP Workshops Alan Said, Martha A. Larson, Domonkos Tikk, Paolo Cremonesi, Alexandros Karatzoglou, Frank Hopfgartner, Roberto Turrin, Joost Geurts
2013	A*	`conf`	CLiMF: Collaborative Less-Is-More Filtering. IJCAI Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Nuria Oliver, Alan Hanjalic
2013	Misc	`conf`	Event Detection in Communication and Transportation Data. IbPRIA Joachim Neumann, Manqi Zao, Alexandros Karatzoglou, Nuria Oliver
2013	J	`jnl`	GAPfm: Optimal Top-N Recommendations for Graded Relevance Domains. CoRR Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic
2013	A	`conf`	GAPfm: optimal top-n recommendations for graded relevance domains. CIKM Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic
2013	A	`conf`	Learning to rank for recommender systems. RecSys Alexandros Karatzoglou, Linas Baltrunas, Yue Shi
2013	—	`conf`	Multiple Outcome Supervised Latent Dirichlet Allocation for Expert Discovery in Online Forums. AAAI (Late-Breaking Developments) José San Pedro, Alexandros Karatzoglou
2013	—	`conf`	Socially Enabled Preference Learning from Implicit Feedback Data. ECML/PKDD (2) Julien Delporte, Alexandros Karatzoglou, Tomasz Matuszczyk, Stéphane Canu
2013	A	`conf`	xCLiMF: optimizing expected reciprocal rank for data with multiple levels of relevance. RecSys Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic
2012	—	`conf`	Apprentissage et Factorisation pour la Recommandation. AAFD Julien Delporte, Stéphane Canu, Alexandros Karatzoglou
2012	A	`conf`	CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering. RecSys Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Nuria Oliver, Alan Hanjalic
2012	A	`conf`	Climbing the app wall: enabling mobile app discovery through context-aware recommendations. CIKM Alexandros Karatzoglou, Linas Baltrunas, Karen Church, Matthias Böhmer
2012	A*	`conf`	TFMAP: optimizing MAP for top-n context-aware recommendation. SIGIR Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic, Nuria Oliver
2011	A	`conf`	Collaborative temporal order modeling. RecSys Alexandros Karatzoglou
2011	—	`conf`	Towards a psychographic user model from mobile phone usage. CHI Extended Abstracts Rodrigo de Oliveira, Alexandros Karatzoglou, Pedro Concejero Cerezo, Ana Armenta Lopez de Vicuña, Nuria Oliver
2010	A	`conf`	Collaborative Filtering on a Budget. AISTATS Alexandros Karatzoglou, Alexander J. Smola, Markus Weimer
2010	—	`ch.`	Collaborative Preference Learning. Preference Learning Alexandros Karatzoglou, Markus Weimer
2010	J	`jnl`	Kernel-based machine learning for fast text mining in R. Comput. Stat. Data Anal. Alexandros Karatzoglou, Ingo Feinerer
2010	A	`conf`	Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering. RecSys Alexandros Karatzoglou, Xavier Amatriain, Linas Baltrunas, Nuria Oliver
2010	—	`conf`	Quantile Matrix Factorization for Collaborative Filtering. EC-Web Alexandros Karatzoglou, Markus Weimer
2009	A	`conf`	Maximum margin matrix factorization for code recommendation. RecSys Markus Weimer, Alexandros Karatzoglou, Marcel Bruch
2008	A	`conf`	Adaptive collaborative filtering. RecSys Markus Weimer, Alexandros Karatzoglou, Alexander J. Smola
2008	—	`conf`	Improving Maximum Margin Matrix Factorization. ECML/PKDD (1) Markus Weimer, Alexandros Karatzoglou, Alexander J. Smola
2008	J	`jnl`	Improving maximum margin matrix factorization. Mach. Learn. Markus Weimer, Alexandros Karatzoglou, Alexander J. Smola
2008	—	`conf`	Nonparametric Distribution Analysis for Text Mining. GfKl Alexandros Karatzoglou, Ingo Feinerer, Kurt Hornik
2007	—	`conf`	COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking . NIPS Markus Weimer, Alexandros Karatzoglou, Quoc V. Le, Alexander J. Smola
2006	—	`conf`	Text Clustering with String Kernels in R. GfKl Alexandros Karatzoglou, Ingo Feinerer
2005	—	`conf`	Step size-adapted online support vector learning. ISSPA Alexandros Karatzoglou, S. V. N. Vishwanathan, Nicol N. Schraudolph, Alexander J. Smola
2003	J	`jnl`	Simulation and Validation of an Integrated Markets Model. J. Artif. Soc. Soc. Simul. Brian Sallans, Alexander Pfister, Alexandros Karatzoglou, Georg Dorffner