| 2026 | SIGIR | Differentiable Semantic ID for Generative Recommendation. | Junchen Fu, Xuri Ge, Alexandros Karatzoglou, Ioannis Arapakis, Suzan Verberne, Joemon M. Jose, Zhaochun Ren |
| 2025 | ICLR | Seeing Eye to AI: Human Alignment via Gaze-Based Response Rewards for Large Language Models. | ngela Lpez-Cardona, Carlos Segura, Alexandros Karatzoglou, Sergi Abadal, Ioannis Arapakis |
| 2025 | WWW | The 1st EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval. | Junchen Fu, Xuri Ge, Xin Xin, Haitao Yu, Yue Feng, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose |
| 2025 | WSDM | Large Language Model driven Policy Exploration for Recommender Systems. | Jie Wang, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose |
| 2024 | CIKM | Sparks of Surprise: Multi-objective Recommendations with Hierarchical Decision Transformers for Diversity, Novelty, and Serendipity. | Jie Wang, Alexandros Karatzoglou, Ioannis Arapakis, Xin Xin, Xuri Ge, Joemon M. Jose |
| 2024 | SIGIR | IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT. | Junchen Fu, Xuri Ge, Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Jie Wang, Joemon M. Jose |
| 2024 | SIGIR | Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling. | Jie Wang, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose |
| 2023 | WWW | Latent User Intent Modeling for Sequential Recommenders. | Bo Chang, Alexandros Karatzoglou, Yuyan Wang, Can Xu, Ed H. Chi, Minmin Chen |
| 2023 | WWW | Investigating Action-Space Generalization in Reinforcement Learning for Recommendation Systems. | Abhishek Naik, Bo Chang, Alexandros Karatzoglou, Martin Mladenov, Ed H. Chi, Minmin Chen |
| 2022 | SIGIR | Enhancing Top-N Item Recommendations by Peer Collaboration. | Yang Sun, Fajie Yuan, Min Yang, Alexandros Karatzoglou, Li Shen, Xiaoyan Zhao |
| 2022 | SIGIR | Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective. | Xin Xin, Tiago Pimentel, Alexandros Karatzoglou, Pengjie Ren, Konstantina Christakopoulou, Zhaochun Ren |
| 2022 | WSDM | Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning. | Dusan Stamenkovic, Alexandros Karatzoglou, Ioannis Arapakis, Xin Xin, Kleomenis Katevas |
| 2022 | WSDM | Supervised Advantage Actor-Critic for Recommender Systems. | Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose |
| 2021 | CIKM | Disentangling Preference Representations for Recommendation Critiquing with -VAE. | Preksha Nema, Alexandros Karatzoglou, Filip Radlinski |
| 2021 | SIGIR | On Interpretation and Measurement of Soft Attributes for Recommendation. | Krisztian Balog, Filip Radlinski, Alexandros Karatzoglou |
| 2021 | SIGIR | One Person, One Model, One World: Learning Continual User Representation without Forgetting. | Fajie Yuan, Guoxiao Zhang, Alexandros Karatzoglou, Joemon M. Jose, Beibei Kong, Yudong Li |
| 2020 | SIGIR | Self-Supervised Reinforcement Learning for Recommender Systems. | Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose |
| 2020 | SIGIR | Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation. | Fajie Yuan, Xiangnan He, Alexandros Karatzoglou, Liguang Zhang |
| 2019 | WSDM | A Simple Convolutional Generative Network for Next Item Recommendation. | Fajie Yuan, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose, Xiangnan He |
| 2018 | CIKM | Recurrent Neural Networks with Top-k Gains for Session-based Recommendations. | Balzs Hidasi, Alexandros Karatzoglou |
| 2018 | ICML | Overcoming Catastrophic Forgetting with Hard Attention to the Task. | Joan Serr, Didac Suris, Marius Miron, Alexandros Karatzoglou |
| 2018 | ICTIR | A Word is Worth a Thousand Ratings: Augmenting Ratings using Reviews for Collaborative Filtering. | Oren Sar Shalom, Guy Uziel, Alexandros Karatzoglou, Amir Kantor |
| 2018 | RecSys | DLRS 2018: third workshop on deep learning for recommender systems. | Balzs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Bracha Shapira, Domonkos Tikk, Flavian Vasile, Sander Dieleman |
| 2017 | ICDE | Hot or Not? Forecasting Cellular Network Hot Spots Using Sector Performance Indicators. | Joan Serr, Ilias Leontiadis, Alexandros Karatzoglou, Konstantina Papagiannaki |
| 2017 | ICLR | Compact Embedding of Binary-coded Inputs and Outputs using Bloom Filters. | Joan Serr, Alexandros Karatzoglou |
| 2017 | ICML | On Context-Dependent Clustering of Bandits. | Claudio Gentile, Shuai Li, Purushottam Kar, Alexandros Karatzoglou, Giovanni Zappella, Evans Etrue |
| 2017 | RecSys | DLRS 2017: Second Workshop on Deep Learning for Recommender Systems. | Balzs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Sander Dieleman, Bracha Shapira, Domonkos Tikk |
| 2017 | RecSys | Deep Learning for Recommender Systems. | Alexandros Karatzoglou, Balzs Hidasi |
| 2017 | RecSys | Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks. | Massimo Quadrana, Alexandros Karatzoglou, Balzs Hidasi, Paolo Cremonesi |
| 2017 | RecSys | Getting Deep Recommenders Fit: Bloom Embeddings for Sparse Binary Input/Output Networks. | Joan Serr, Alexandros Karatzoglou |
| 2016 | ICDM | A Genetic Algorithm to Discover Flexible Motifs with Support. | Joan Serr, Aleksandar Matic, Josep Llus Arcos, Alexandros Karatzoglou |
| 2016 | RecSys | Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations. | Balzs Hidasi, Massimo Quadrana, Alexandros Karatzoglou, Domonkos Tikk |
| 2016 | RecSys | RecSys'16 Workshop on Deep Learning for Recommender Systems (DLRS). | Alexandros Karatzoglou, Balzs Hidasi, Domonkos Tikk, Oren Sar Shalom, Haggai Roitman, Bracha Shapira, Lior Rokach |
| 2016 | RecSys | The Contextual Turn: from Context-Aware to Context-Driven Recommender Systems. | Roberto Pagano, Paolo Cremonesi, Martha A. Larson, Balzs Hidasi, Domonkos Tikk, Alexandros Karatzoglou, Massimo Quadrana |
| 2016 | SIGIR | Collaborative Filtering Bandits. | Shuai Li, Alexandros Karatzoglou, Claudio Gentile |
| 2015 | RecSys | Recommendation with the Right Slice: Speeding Up Collaborative Filtering with Factorization Machines. | Babak Loni, Martha A. Larson, Alexandros Karatzoglou, Alan Hanjalic |
| 2014 | CIKM | CARS2: Learning Context-aware Representations for Context-aware Recommendations. | Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic |
| 2014 | RecSys | Overview of ACM RecSys CrowdRec 2014 workshop: crowdsourcing and human computation for recommender systems. | Martha A. Larson, Paolo Cremonesi, Alexandros Karatzoglou |
| 2014 | RecSys | Question recommendation for collaborative question answering systems with RankSLDA. | Jos San Pedro, Alexandros Karatzoglou |
| 2014 | RecSys | Coverage, redundancy and size-awareness in genre diversity for recommender systems. | Sal Vargas, Linas Baltrunas, Alexandros Karatzoglou, Pablo Castells |
| 2014 | SIGIR | Gaussian process factorization machines for context-aware recommendations. | Trung V. Nguyen, Alexandros Karatzoglou, Linas Baltrunas |
| 2013 | AAAI | Multiple Outcome Supervised Latent Dirichlet Allocation for Expert Discovery in Online Forums. | Jos San Pedro, Alexandros Karatzoglou |
| 2013 | CIKM | GAPfm: optimal top-n recommendations for graded relevance domains. | Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic |
| 2013 | IBPRIA | Event Detection in Communication and Transportation Data. | Joachim Neumann, Manqi Zao, Alexandros Karatzoglou, Nuria Oliver |
| 2013 | IJCAI | CLiMF: Collaborative Less-Is-More Filtering. | Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Nuria Oliver, Alan Hanjalic |
| 2013 | RecSys | Learning to rank for recommender systems. | Alexandros Karatzoglou, Linas Baltrunas, Yue Shi |
| 2013 | RecSys | xCLiMF: optimizing expected reciprocal rank for data with multiple levels of relevance. | Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic |
| 2012 | CIKM | Climbing the app wall: enabling mobile app discovery through context-aware recommendations. | Alexandros Karatzoglou, Linas Baltrunas, Karen Church, Matthias Bhmer |
| 2012 | RecSys | CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering. | Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Nuria Oliver, Alan Hanjalic |
| 2012 | SIGIR | TFMAP: optimizing MAP for top-n context-aware recommendation. | Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic, Nuria Oliver |
| 2011 | CHI | Towards a psychographic user model from mobile phone usage. | Rodrigo de Oliveira, Alexandros Karatzoglou, Pedro Concejero Cerezo, Ana Armenta Lopez de Vicua, Nuria Oliver |
| 2011 | RecSys | Collaborative temporal order modeling. | Alexandros Karatzoglou |
| 2010 | RecSys | Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering. | Alexandros Karatzoglou, Xavier Amatriain, Linas Baltrunas, Nuria Oliver |
| 2009 | RecSys | Maximum margin matrix factorization for code recommendation. | Markus Weimer, Alexandros Karatzoglou, Marcel Bruch |
| 2008 | RecSys | Adaptive collaborative filtering. | Markus Weimer, Alexandros Karatzoglou, Alexander J. Smola |