Simulation and Validation of an Integrated Markets Model. - Brian Sallans; Alexander Pfister; Alexandros Karatzoglou; Georg Dorffner (J. Artif. Soc. Soc. Simul., 2003)

Step size-adapted online support vector learning. - Alexandros Karatzoglou; S. V. N. Vishwanathan; Nicol N. Schraudolph; Alexander J. Smola (ISSPA, 2005)

Text Clustering with String Kernels in R. - Alexandros Karatzoglou; Ingo Feinerer (GfKl, 2006)

COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking . - Markus Weimer; Alexandros Karatzoglou; Quoc V. Le; Alexander J. Smola (NIPS, 2007)

Nonparametric Distribution Analysis for Text Mining. - Alexandros Karatzoglou; Ingo Feinerer; Kurt Hornik (GfKl, 2008)

Improving Maximum Margin Matrix Factorization. - Markus Weimer; Alexandros Karatzoglou; Alexander J. Smola (ECML/PKDD (1), 2008)

Adaptive collaborative filtering. - Markus Weimer; Alexandros Karatzoglou; Alexander J. Smola (RecSys, 2008)

Maximum margin matrix factorization for code recommendation. - Markus Weimer; Alexandros Karatzoglou; Marcel Bruch (RecSys, 2009)

Collaborative Preference Learning. - Alexandros Karatzoglou; Markus Weimer (Preference Learning, 2010)

Quantile Matrix Factorization for Collaborative Filtering. - Alexandros Karatzoglou; Markus Weimer (EC-Web, 2010)

Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering. - Alexandros Karatzoglou; Xavier Amatriain; Linas Baltrunas; Nuria Oliver (RecSys, 2010)

Kernel-based machine learning for fast text mining in R. - Alexandros Karatzoglou; Ingo Feinerer (Comput. Stat. Data Anal., 2010)

Collaborative Filtering on a Budget. - Alexandros Karatzoglou; Alexander J. Smola; Markus Weimer (AISTATS, 2010)

Towards a psychographic user model from mobile phone usage. - Rodrigo de Oliveira; Alexandros Karatzoglou; Pedro Concejero Cerezo; Ana Armenta Lopez de Vicuña; Nuria Oliver (CHI Extended Abstracts, 2011)

Collaborative temporal order modeling. - Alexandros Karatzoglou (RecSys, 2011)

Apprentissage et Factorisation pour la Recommandation. - Julien Delporte; Stéphane Canu; Alexandros Karatzoglou (AAFD, 2012)

Climbing the app wall: enabling mobile app discovery through context-aware recommendations. - Alexandros Karatzoglou; Linas Baltrunas; Karen Church; Matthias Böhmer 001 (CIKM, 2012)

CLiMF: learning to maximize reciprocal rank with collaborative less-is-more filtering. - Yue Shi 002; Alexandros Karatzoglou; Linas Baltrunas; Martha A. Larson; Nuria Oliver; Alan Hanjalic (RecSys, 2012)

TFMAP: optimizing MAP for top-n context-aware recommendation. - Yue Shi 002; Alexandros Karatzoglou; Linas Baltrunas; Martha A. Larson; Alan Hanjalic; Nuria Oliver (SIGIR, 2012)

Multiple Outcome Supervised Latent Dirichlet Allocation for Expert Discovery in Online Forums. - José San Pedro; Alexandros Karatzoglou (AAAI (Late-Breaking Developments), 2013)

GAPfm: optimal top-n recommendations for graded relevance domains. - Yue Shi 002; Alexandros Karatzoglou; Linas Baltrunas; Martha A. Larson; Alan Hanjalic (CIKM, 2013)

Event Detection in Communication and Transportation Data. - Joachim Neumann; Manqi Zao; Alexandros Karatzoglou; Nuria Oliver (IbPRIA, 2013)

CLiMF: Collaborative Less-Is-More Filtering. - Yue Shi 002; Alexandros Karatzoglou; Linas Baltrunas; Martha A. Larson; Nuria Oliver; Alan Hanjalic (IJCAI, 2013)

Socially Enabled Preference Learning from Implicit Feedback Data. - Julien Delporte; Alexandros Karatzoglou; Tomasz Matuszczyk; Stéphane Canu (ECML/PKDD (2), 2013)

Learning to rank for recommender systems. - Alexandros Karatzoglou; Linas Baltrunas; Yue Shi 002 (RecSys, 2013)

xCLiMF: optimizing expected reciprocal rank for data with multiple levels of relevance. - Yue Shi 002; Alexandros Karatzoglou; Linas Baltrunas; Martha A. Larson; Alan Hanjalic (RecSys, 2013)

CARS2: Learning Context-aware Representations for Context-aware Recommendations. - Yue Shi 002; Alexandros Karatzoglou; Linas Baltrunas; Martha A. Larson; Alan Hanjalic (CIKM, 2014)

Overview of ACM RecSys CrowdRec 2014 workshop: crowdsourcing and human computation for recommender systems. - Martha A. Larson; Paolo Cremonesi; Alexandros Karatzoglou (RecSys, 2014)

Question recommendation for collaborative question answering systems with RankSLDA. - José San Pedro; Alexandros Karatzoglou (RecSys, 2014)

Coverage, redundancy and size-awareness in genre diversity for recommender systems. - Saúl Vargas; Linas Baltrunas; Alexandros Karatzoglou; Pablo Castells (RecSys, 2014)

Gaussian process factorization machines for context-aware recommendations. - Trung V. Nguyen; Alexandros Karatzoglou; Linas Baltrunas (SIGIR, 2014)

User-Item Reciprocity in Recommender Systems: Incentivizing the Crowd. - Alan Said; Martha A. Larson; Domonkos Tikk; Paolo Cremonesi; Alexandros Karatzoglou; Frank Hopfgartner; Roberto Turrin; Joost Geurts (UMAP Workshops, 2014)

Recommendation with the Right Slice: Speeding Up Collaborative Filtering with Factorization Machines. - Babak Loni; Martha A. Larson; Alexandros Karatzoglou; Alan Hanjalic (RecSys Posters, 2015)

Frappe: Understanding the Usage and Perception of Mobile App Recommendations In-The-Wild. - Linas Baltrunas; Karen Church; Alexandros Karatzoglou; Nuria Oliver (CoRR, 2015)

Data-Dependent Clustering in Exploration-Exploitation Algorithms. - Shuai Li 011; Claudio Gentile; Alexandros Karatzoglou; Giovanni Zappella (CoRR, 2015)

A Genetic Algorithm to Discover Flexible Motifs with Support. - Joan Serrà; Aleksandar Matic; Josep Lluís Arcos; Alexandros Karatzoglou (ICDM Workshops, 2016)

Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations. - Balázs Hidasi; Massimo Quadrana; Alexandros Karatzoglou; Domonkos Tikk (RecSys, 2016)

RecSys'16 Workshop on Deep Learning for Recommender Systems (DLRS). - Alexandros Karatzoglou; Balázs Hidasi; Domonkos Tikk; Oren Sar Shalom; Haggai Roitman; Bracha Shapira; Lior Rokach (RecSys, 2016)

The Contextual Turn: from Context-Aware to Context-Driven Recommender Systems. - Roberto Pagano; Paolo Cremonesi; Martha A. Larson; Balázs Hidasi; Domonkos Tikk; Alexandros Karatzoglou; Massimo Quadrana (RecSys, 2016)

Collaborative Filtering Bandits. - Shuai Li 011; Alexandros Karatzoglou; Claudio Gentile (SIGIR, 2016)

Session-based Recommendations with Recurrent Neural Networks. - Balázs Hidasi; Alexandros Karatzoglou; Linas Baltrunas; Domonkos Tikk (ICLR (Poster), 2016)

Graph Clustering Bandits for Recommendation. - Shuai Li 011; Claudio Gentile; Alexandros Karatzoglou (CoRR, 2016)

Online Context-Dependent Clustering in Recommendations based on Exploration-Exploitation Algorithms. - Shuai Li 011; Claudio Gentile; Alexandros Karatzoglou; Giovanni Zappella (CoRR, 2016)

Hot or Not? Forecasting Cellular Network Hot Spots Using Sector Performance Indicators. - Joan Serrà; Ilias Leontiadis; Alexandros Karatzoglou; Konstantina Papagiannaki (ICDE, 2017)

Compact Embedding of Binary-coded Inputs and Outputs using Bloom Filters. - Joan Serrà; Alexandros Karatzoglou (ICLR (Workshop), 2017)

On Context-Dependent Clustering of Bandits. - Claudio Gentile; Shuai Li 011; Purushottam Kar; Alexandros Karatzoglou; Giovanni Zappella; Evans Etrue (ICML, 2017)

DLRS 2017: Second Workshop on Deep Learning for Recommender Systems. - Balázs Hidasi; Alexandros Karatzoglou; Oren Sar Shalom; Sander Dieleman; Bracha Shapira; Domonkos Tikk (RecSys, 2017)

Deep Learning for Recommender Systems. - Alexandros Karatzoglou; Balázs Hidasi (RecSys, 2017)

Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks. - Massimo Quadrana; Alexandros Karatzoglou; Balázs Hidasi; Paolo Cremonesi (RecSys, 2017)

Getting Deep Recommenders Fit: Bloom Embeddings for Sparse Binary Input/Output Networks. - Joan Serrà; Alexandros Karatzoglou (RecSys, 2017)

Towards a Universal Neural Network Encoder for Time Series. - Joan Serrà; Santiago Pascual; Alexandros Karatzoglou (CCIA, 2018)

Recurrent Neural Networks with Top-k Gains for Session-based Recommendations. - Balázs Hidasi; Alexandros Karatzoglou (CIKM, 2018)

Collaborative Filtering Method for Handling Diverse and Repetitive User-Item Interactions. - Oren Sar Shalom; Haggai Roitman; Amihood Amir; Alexandros Karatzoglou (HT, 2018)

Overcoming Catastrophic Forgetting with Hard Attention to the Task. - Joan Serrà; Didac Suris; Marius Miron; Alexandros Karatzoglou (ICML, 2018)

A Word is Worth a Thousand Ratings: Augmenting Ratings using Reviews for Collaborative Filtering. - Oren Sar Shalom; Guy Uziel; Alexandros Karatzoglou; Amir Kantor (ICTIR, 2018)

DLRS 2018: third workshop on deep learning for recommender systems. - Balázs Hidasi; Alexandros Karatzoglou; Oren Sar Shalom; Bracha Shapira; Domonkos Tikk; Flavian Vasile; Sander Dieleman (RecSys, 2018)

RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising. - David Rohde; Stephen Bonner; Travis Dunlop; Flavian Vasile; Alexandros Karatzoglou (CoRR, 2018)

A Simple but Hard-to-Beat Baseline for Session-based Recommendations. - Fajie Yuan; Alexandros Karatzoglou; Ioannis Arapakis; Joemon M. Jose; Xiangnan He 001 (CoRR, 2018)

A Simple Convolutional Generative Network for Next Item Recommendation. - Fajie Yuan; Alexandros Karatzoglou; Ioannis Arapakis; Joemon M. Jose; Xiangnan He 001 (WSDM, 2019)

Self-Supervised Reinforcement Learning for Recommender Systems. - Xin Xin 003; Alexandros Karatzoglou; Ioannis Arapakis; Joemon M. Jose (SIGIR, 2020)

Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation. - Fajie Yuan; Xiangnan He 001; Alexandros Karatzoglou; Liguang Zhang (SIGIR, 2020)

Parameter-Efficient Transfer from Sequential Behaviors for User Profiling and Recommendation. - Fajie Yuan; Xiangnan He 001; Alexandros Karatzoglou; Liguang Zhang (CoRR, 2020)

Graph Highway Networks. - Xin Xin 003; Alexandros Karatzoglou; Ioannis Arapakis; Joemon M. Jose (CoRR, 2020)

Disentangling Preference Representations for Recommendation Critiquing with ß-VAE. - Preksha Nema; Alexandros Karatzoglou; Filip Radlinski (CIKM, 2021)

On Interpretation and Measurement of Soft Attributes for Recommendation. - Krisztian Balog; Filip Radlinski; Alexandros Karatzoglou (SIGIR, 2021)

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 (SIGIR, 2021)

Graph Convolutional Embeddings for Recommender Systems. - Paula Gómez Duran; Alexandros Karatzoglou; Jordi Vitrià; Xin Xin 003; Ioannis Arapakis (IEEE Access, 2021)

Enhancing Top-N Item Recommendations by Peer Collaboration. - Yang Sun; Fajie Yuan; Min Yang 007; Alexandros Karatzoglou; Shen Li; Xiaoyan Zhao 005 (CoRR, 2021)

Enhancing Top-N Item Recommendations by Peer Collaboration. - Yang Sun; Fajie Yuan; Min Yang 007; Alexandros Karatzoglou; Li Shen 008; Xiaoyan Zhao 005 (SIGIR, 2022)

Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective. - Xin Xin 003; Tiago Pimentel; Alexandros Karatzoglou; Pengjie Ren; Konstantina Christakopoulou; Zhaochun Ren (SIGIR, 2022)

Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning. - Dusan Stamenkovic; Alexandros Karatzoglou; Ioannis Arapakis; Xin Xin 003; Kleomenis Katevas (WSDM, 2022)

Supervised Advantage Actor-Critic for Recommender Systems. - Xin Xin 003; Alexandros Karatzoglou; Ioannis Arapakis; Joemon M. Jose (WSDM, 2022)

Latent User Intent Modeling for Sequential Recommenders. - Bo Chang 002; Alexandros Karatzoglou; Yuyan Wang; Can Xu; Ed H. Chi; Minmin Chen (WWW (Companion Volume), 2023)

Investigating Action-Space Generalization in Reinforcement Learning for Recommendation Systems. - Abhishek Naik; Bo Chang 002; Alexandros Karatzoglou; Martin Mladenov; Ed H. Chi; Minmin Chen (WWW (Companion Volume), 2023)

Sparks of Surprise: Multi-objective Recommendations with Hierarchical Decision Transformers for Diversity, Novelty, and Serendipity. - Jie Wang 072; Alexandros Karatzoglou; Ioannis Arapakis; Xin Xin 003; Xuri Ge; Joemon M. Jose (CIKM, 2024)

IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT. - Junchen Fu; Xuri Ge; Xin Xin 003; Alexandros Karatzoglou; Ioannis Arapakis; Jie Wang 072; Joemon M. Jose (SIGIR, 2024)

Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling. - Jie Wang 072; Alexandros Karatzoglou; Ioannis Arapakis; Joemon M. Jose (SIGIR, 2024)

PERSOMA: PERsonalized SOft ProMpt Adapter Architecture for Personalized Language Prompting. - Liam Hebert; Krishna Sayana; Ambarish Jash; Alexandros Karatzoglou; Sukhdeep S. Sodhi; Sumanth Doddapaneni; Yanli Cai; Dima Kuzmin (CoRR, 2024)

Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation. - Junchen Fu; Xuri Ge; Xin Xin 003; Alexandros Karatzoglou; Ioannis Arapakis; Kaiwen Zheng; Yongxin Ni; Joemon M. Jose (CoRR, 2024)

Seeing Eye to AI: Human Alignment via Gaze-Based Response Rewards for Large Language Models. - Ángela López-Cardona; Carlos Segura; Alexandros Karatzoglou; Sergi Abadal; Ioannis Arapakis (ICLR, 2025)

Large Language Model driven Policy Exploration for Recommender Systems. - Jie Wang 072; Alexandros Karatzoglou; Ioannis Arapakis; Joemon M. Jose (WSDM, 2025)

The 1st EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval. - Junchen Fu; Xuri Ge; Xin Xin 003; Haitao Yu 003; Yue Feng 002; Alexandros Karatzoglou; Ioannis Arapakis; Joemon M. Jose (WWW (Companion Volume), 2025)

Hyperbolic Residual Quantization: Discrete Representations for Data with Latent Hierarchies. - Piotr Piekos; Subhradeep Kayal; Alexandros Karatzoglou (CoRR, 2025)

Beyond Accuracy: Decision Transformers for Reward-Driven Multi-Objective Recommendations. - Jie Wang 072; Alexandros Karatzoglou; Ioannis Arapakis; Joemon M. Jose; Xuri Ge (IEEE Trans. Knowl. Data Eng., 2025)