Alexandros Karatzoglou

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 57

Top Topics

Reinforcement Learning

Collaborative Filtering

Recommender Systems

Top Venues

Publications

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)
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)
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 (2024)
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 (2024)
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)
Bo Chang, Alexandros Karatzoglou, Yuyan Wang, Can Xu, Ed H. Chi, Minmin Chen
Latent User Intent Modeling for Sequential Recommenders. WWW (Companion Volume) (2023)
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)
Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose
Supervised Advantage Actor-Critic for Recommender Systems. WSDM (2022)
Yang Sun, Fajie Yuan, Min Yang, Alexandros Karatzoglou, Li Shen, Xiaoyan Zhao
Enhancing Top-N Item Recommendations by Peer Collaboration. SIGIR (2022)
Xin Xin, Tiago Pimentel, Alexandros Karatzoglou, Pengjie Ren, Konstantina Christakopoulou, Zhaochun Ren
Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective. CoRR (2022)
Bo Chang, Alexandros Karatzoglou, Yuyan Wang, Can Xu, Ed H. Chi, Minmin Chen
Latent User Intent Modeling for Sequential Recommenders. CoRR (2022)
Xin Xin, Tiago Pimentel, Alexandros Karatzoglou, Pengjie Ren, Konstantina Christakopoulou, Zhaochun Ren
Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective. SIGIR (2022)
Krisztian Balog, Filip Radlinski, Alexandros Karatzoglou
On Interpretation and Measurement of Soft Attributes for Recommendation. SIGIR (2021)
Yang Sun, Fajie Yuan, Min Yang, Alexandros Karatzoglou, Shen Li, Xiaoyan Zhao
Enhancing Top-N Item Recommendations by Peer Collaboration. CoRR (2021)
Krisztian Balog, Filip Radlinski, Alexandros Karatzoglou
On Interpretation and Measurement of Soft Attributes for Recommendation. CoRR (2021)
Preksha Nema, Alexandros Karatzoglou, Filip Radlinski
Disentangling Preference Representations for Recommendation Critiquing with ß-VAE. CIKM (2021)
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 (2021)
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)
Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose
Supervised Advantage Actor-Critic for Recommender Systems. CoRR (2021)
Paula Gómez Duran, Alexandros Karatzoglou, Jordi Vitrià, Xin Xin, Ioannis Arapakis
Graph Convolutional Embeddings for Recommender Systems. CoRR (2021)
Paula Gómez Duran, Alexandros Karatzoglou, Jordi Vitrià, Xin Xin, Ioannis Arapakis
Graph Convolutional Embeddings for Recommender Systems. IEEE Access 9 (2021)
Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose
Self-Supervised Reinforcement Learning for Recommender Systems. CoRR (2020)
Fajie Yuan, Xiangnan He, Alexandros Karatzoglou, Liguang Zhang
Parameter-Efficient Transfer from Sequential Behaviors for User Profiling and Recommendation. CoRR (2020)
Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose
Graph Highway Networks. CoRR (2020)
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 (2020)
Fajie Yuan, Xiangnan He, Alexandros Karatzoglou, Liguang Zhang
Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation. SIGIR (2020)
Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose
Self-Supervised Reinforcement Learning for Recommender Systems. SIGIR (2020)
Fajie Yuan, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose, Xiangnan He
A Simple Convolutional Generative Network for Next Item Recommendation. WSDM (2019)
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)
Joan Serrà, Dídac Surís, Marius Miron, Alexandros Karatzoglou
Overcoming catastrophic forgetting with hard attention to the task. CoRR (2018)
Balázs Hidasi, Alexandros Karatzoglou
Recurrent Neural Networks with Top-k Gains for Session-based Recommendations. CIKM (2018)
Joan Serrà, Didac Suris, Marius Miron, Alexandros Karatzoglou
Overcoming Catastrophic Forgetting with Hard Attention to the Task. ICML (2018)
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)
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 (2018)
Oren Sar Shalom, Haggai Roitman, Amihood Amir, Alexandros Karatzoglou
Collaborative Filtering Method for Handling Diverse and Repetitive User-Item Interactions. HT (2018)
Joan Serrà, Santiago Pascual, Alexandros Karatzoglou
Towards a Universal Neural Network Encoder for Time Series. CCIA (2018)
Fajie Yuan, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose, Xiangnan He
A Simple but Hard-to-Beat Baseline for Session-based Recommendations. CoRR (2018)
Joan Serrà, Santiago Pascual, Alexandros Karatzoglou
Towards a universal neural network encoder for time series. CoRR (2018)
Claudio Gentile, Shuai Li, Purushottam Kar, Alexandros Karatzoglou, Giovanni Zappella, Evans Etrue
On Context-Dependent Clustering of Bandits. ICML (2017)
Massimo Quadrana, Alexandros Karatzoglou, Balázs Hidasi, Paolo Cremonesi
Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks. RecSys (2017)
Joan Serrà, Alexandros Karatzoglou
Getting deep recommenders fit: Bloom embeddings for sparse binary input/output networks. CoRR (2017)
Joan Serrà, Ilias Leontiadis, Alexandros Karatzoglou, Konstantina Papagiannaki
Hot or Not? Forecasting Cellular Network Hot Spots Using Sector Performance Indicators. ICDE (2017)
Massimo Quadrana, Alexandros Karatzoglou, Balázs Hidasi, Paolo Cremonesi
Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks. CoRR (2017)
Balázs Hidasi, Alexandros Karatzoglou
Recurrent Neural Networks with Top-k Gains for Session-based Recommendations. CoRR (2017)
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)
Alexandros Karatzoglou, Balázs Hidasi
Deep Learning for Recommender Systems. RecSys (2017)
Joan Serrà, Alexandros Karatzoglou
Getting Deep Recommenders Fit: Bloom Embeddings for Sparse Binary Input/Output Networks. RecSys (2017)
Joan Serrà, Ilias Leontiadis, Alexandros Karatzoglou, Konstantina Papagiannaki
Hot or not? Forecasting cellular network hot spots using sector performance indicators. CoRR (2017)
Joan Serrà, Alexandros Karatzoglou
Compact Embedding of Binary-coded Inputs and Outputs using Bloom Filters. ICLR (Workshop) (2017)
Shuai Li, Alexandros Karatzoglou, Claudio Gentile
Collaborative Filtering Bandits. SIGIR (2016)
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)
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)
Balázs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, Domonkos Tikk
Session-based Recommendations with Recurrent Neural Networks. ICLR (Poster) (2016)
Joan Serrà, Aleksandar Matic, Josep Lluís Arcos, Alexandros Karatzoglou
A Genetic Algorithm to Discover Flexible Motifs with Support. ICDM Workshops (2016)
Shuai Li, Claudio Gentile, Alexandros Karatzoglou, Giovanni Zappella
Online Context-Dependent Clustering in Recommendations based on Exploration-Exploitation Algorithms. CoRR (2016)
Shuai Li, Claudio Gentile, Alexandros Karatzoglou
Graph Clustering Bandits for Recommendation. CoRR (2016)
Balázs Hidasi, Massimo Quadrana, Alexandros Karatzoglou, Domonkos Tikk
Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations. RecSys (2016)
Babak Loni, Martha A. Larson, Alexandros Karatzoglou, Alan Hanjalic
Recommendation with the Right Slice: Speeding Up Collaborative Filtering with Factorization Machines. RecSys Posters (2015)
Linas Baltrunas, Karen Church, Alexandros Karatzoglou, Nuria Oliver
Frappe: Understanding the Usage and Perception of Mobile App Recommendations In-The-Wild. CoRR (2015)
Shuai Li, Claudio Gentile, Alexandros Karatzoglou, Giovanni Zappella
Data-Dependent Clustering in Exploration-Exploitation Algorithms. CoRR (2015)
Joan Serrà, Aleksandar Matic, Josep Lluís Arcos, Alexandros Karatzoglou
A genetic algorithm to discover flexible motifs with support. CoRR (2015)
Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic
CARS2: Learning Context-aware Representations for Context-aware Recommendations. CIKM (2014)
José San Pedro, Alexandros Karatzoglou
Question recommendation for collaborative question answering systems with RankSLDA. RecSys (2014)
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)
Martha A. Larson, Paolo Cremonesi, Alexandros Karatzoglou
Overview of ACM RecSys CrowdRec 2014 workshop: crowdsourcing and human computation for recommender systems. RecSys (2014)
Trung V. Nguyen, Alexandros Karatzoglou, Linas Baltrunas
Gaussian process factorization machines for context-aware recommendations. SIGIR (2014)
Saúl Vargas, Linas Baltrunas, Alexandros Karatzoglou, Pablo Castells
Coverage, redundancy and size-awareness in genre diversity for recommender systems. RecSys (2014)
Julien Delporte, Alexandros Karatzoglou, Tomasz Matuszczyk, Stéphane Canu
Socially Enabled Preference Learning from Implicit Feedback Data. ECML/PKDD (2) (2013)
Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic
GAPfm: optimal top-n recommendations for graded relevance domains. CIKM (2013)
Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic
GAPfm: Optimal Top-N Recommendations for Graded Relevance Domains. CoRR (2013)
José San Pedro, Alexandros Karatzoglou
Multiple Outcome Supervised Latent Dirichlet Allocation for Expert Discovery in Online Forums. AAAI (Late-Breaking Developments) (2013)
Alexandros Karatzoglou, Linas Baltrunas, Yue Shi
Learning to rank for recommender systems. RecSys (2013)
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)
Joachim Neumann, Manqi Zao, Alexandros Karatzoglou, Nuria Oliver
Event Detection in Communication and Transportation Data. IbPRIA (2013)
Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Nuria Oliver, Alan Hanjalic
CLiMF: Collaborative Less-Is-More Filtering. IJCAI (2013)
Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic, Nuria Oliver
TFMAP: optimizing MAP for top-n context-aware recommendation. SIGIR (2012)
Julien Delporte, Stéphane Canu, Alexandros Karatzoglou
Apprentissage et Factorisation pour la Recommandation. AAFD (2012)
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)
Alexandros Karatzoglou, Linas Baltrunas, Karen Church, Matthias Böhmer
Climbing the app wall: enabling mobile app discovery through context-aware recommendations. CIKM (2012)
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)
Alexandros Karatzoglou
Collaborative temporal order modeling. RecSys (2011)
Alexandros Karatzoglou, Ingo Feinerer
Kernel-based machine learning for fast text mining in R. Comput. Stat. Data Anal. 54 (2) (2010)
Alexandros Karatzoglou, Alexander J. Smola, Markus Weimer
Collaborative Filtering on a Budget. AISTATS (2010)
Alexandros Karatzoglou, Markus Weimer
Quantile Matrix Factorization for Collaborative Filtering. EC-Web (2010)
Alexandros Karatzoglou, Xavier Amatriain, Linas Baltrunas, Nuria Oliver
Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering. RecSys (2010)
Markus Weimer, Alexandros Karatzoglou, Marcel Bruch
Maximum margin matrix factorization for code recommendation. RecSys (2009)
Markus Weimer, Alexandros Karatzoglou, Alexander J. Smola
Improving maximum margin matrix factorization. Mach. Learn. 72 (3) (2008)
Alexandros Karatzoglou, Ingo Feinerer, Kurt Hornik
Nonparametric Distribution Analysis for Text Mining. GfKl (2008)
Markus Weimer, Alexandros Karatzoglou, Alexander J. Smola
Adaptive collaborative filtering. RecSys (2008)
Markus Weimer, Alexandros Karatzoglou, Alexander J. Smola
Improving Maximum Margin Matrix Factorization. ECML/PKDD (1) (2008)
Markus Weimer, Alexandros Karatzoglou, Quoc V. Le, Alexander J. Smola
COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking . NIPS (2007)
Alexandros Karatzoglou, Ingo Feinerer
Text Clustering with String Kernels in R. GfKl (2006)
Alexandros Karatzoglou, S. V. N. Vishwanathan, Nicol N. Schraudolph, Alexander J. Smola
Step size-adapted online support vector learning. ISSPA (2005)
Brian Sallans, Alexander Pfister, Alexandros Karatzoglou, Georg Dorffner
Simulation and Validation of an Integrated Markets Model. J. Artif. Soc. Soc. Simul. 6 (4) (2003)