Alexandros Karatzoglou

According to our database, Alexandros Karatzoglou authored at least 76 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling.

Jie Wang, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose

CoRR, 2024

2023

Investigating Action-Space Generalization in Reinforcement Learning for Recommendation Systems.

Abhishek Naik, Bo Chang, Alexandros Karatzoglou, Martin Mladenov, Ed H. Chi, Minmin Chen

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Latent User Intent Modeling for Sequential Recommenders.

Bo Chang, Alexandros Karatzoglou, Yuyan Wang, Can Xu, Ed H. Chi, Minmin Chen

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

2022

Supervised Advantage Actor-Critic for Recommender Systems.

Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

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

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective.

Xin Xin, Tiago Pimentel, Alexandros Karatzoglou, Pengjie Ren, Konstantina Christakopoulou, Zhaochun Ren

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Enhancing Top-N Item Recommendations by Peer Collaboration.

Yang Sun, Fajie Yuan, Min Yang, Alexandros Karatzoglou, Li Shen, Xiaoyan Zhao

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

Enhancing Top-N Item Recommendations by Peer Collaboration.

Yang Sun, Fajie Yuan, Min Yang, Alexandros Karatzoglou, Shen Li, Xiaoyan Zhao

CoRR, 2021

Graph Convolutional Embeddings for Recommender Systems.

Paula Gómez Duran, Alexandros Karatzoglou, Jordi Vitrià, Xin Xin, Ioannis Arapakis

IEEE Access, 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

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

On Interpretation and Measurement of Soft Attributes for Recommendation.

Krisztian Balog, Filip Radlinski, Alexandros Karatzoglou

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Disentangling Preference Representations for Recommendation Critiquing with ß-VAE.

Preksha Nema, Alexandros Karatzoglou, Filip Radlinski

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

One Person, One Model, One World: Learning Continual User Representation without Forgetting.

Fajie Yuan, Guoxiao Zhang, Alexandros Karatzoglou, Xiangnan He, Joemon M. Jose, Beibei Kong, Yudong Li

CoRR, 2020

Graph Highway Networks.

Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose

CoRR, 2020

Parameter-Efficient Transfer from Sequential Behaviors for User Profiling and Recommendation.

Fajie Yuan, Xiangnan He, Alexandros Karatzoglou, Liguang Zhang

CoRR, 2020

Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation.

Fajie Yuan, Xiangnan He, Alexandros Karatzoglou, Liguang Zhang

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Self-Supervised Reinforcement Learning for Recommender Systems.

Xin Xin, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

2019

A Simple Convolutional Generative Network for Next Item Recommendation.

Fajie Yuan, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose, Xiangnan He

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

2018

A Simple but Hard-to-Beat Baseline for Session-based Recommendations.

Fajie Yuan, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose, Xiangnan He

CoRR, 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

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

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

A Word is Worth a Thousand Ratings: Augmenting Ratings using Reviews for Collaborative Filtering.

Oren Sar Shalom, Guy Uziel, Alexandros Karatzoglou, Amir Kantor

Proceedings of the 2018 ACM SIGIR International Conference on Theory of Information Retrieval, 2018

Overcoming Catastrophic Forgetting with Hard Attention to the Task.

Joan Serrà, Didac Suris, Marius Miron, Alexandros Karatzoglou

Proceedings of the 35th International Conference on Machine Learning, 2018

Collaborative Filtering Method for Handling Diverse and Repetitive User-Item Interactions.

Oren Sar Shalom, Haggai Roitman, Amihood Amir, Alexandros Karatzoglou

Proceedings of the 29th on Hypertext and Social Media, 2018

Recurrent Neural Networks with Top-k Gains for Session-based Recommendations.

Balázs Hidasi, Alexandros Karatzoglou

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Towards a Universal Neural Network Encoder for Time Series.

Joan Serrà, Santiago Pascual, Alexandros Karatzoglou

Proceedings of the Artificial Intelligence Research and Development, 2018

2017

Getting Deep Recommenders Fit: Bloom Embeddings for Sparse Binary Input/Output Networks.

Joan Serrà, Alexandros Karatzoglou

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks.

Massimo Quadrana, Alexandros Karatzoglou, Balázs Hidasi, Paolo Cremonesi

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Deep Learning for Recommender Systems.

Alexandros Karatzoglou, Balázs Hidasi

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

DLRS 2017: Second Workshop on Deep Learning for Recommender Systems.

Balázs Hidasi, Alexandros Karatzoglou, Oren Sar Shalom, Sander Dieleman, Bracha Shapira, Domonkos Tikk

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

On Context-Dependent Clustering of Bandits.

Claudio Gentile, Shuai Li, Purushottam Kar, Alexandros Karatzoglou, Giovanni Zappella, Evans Etrue

Proceedings of the 34th International Conference on Machine Learning, 2017

Compact Embedding of Binary-coded Inputs and Outputs using Bloom Filters.

Joan Serrà, Alexandros Karatzoglou

Proceedings of the 5th International Conference on Learning Representations, 2017

Hot or Not? Forecasting Cellular Network Hot Spots Using Sector Performance Indicators.

Joan Serrà, Ilias Leontiadis, Alexandros Karatzoglou, Konstantina Papagiannaki

Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

2016

Online Context-Dependent Clustering in Recommendations based on Exploration-Exploitation Algorithms.

Shuai Li, Claudio Gentile, Alexandros Karatzoglou, Giovanni Zappella

CoRR, 2016

Graph Clustering Bandits for Recommendation.

Shuai Li, Claudio Gentile, Alexandros Karatzoglou

CoRR, 2016

Session-based Recommendations with Recurrent Neural Networks.

Balázs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, Domonkos Tikk

Proceedings of the 4th International Conference on Learning Representations, 2016

Collaborative Filtering Bandits.

Shuai Li, Alexandros Karatzoglou, Claudio Gentile

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 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

Proceedings of the 10th ACM Conference on Recommender Systems, 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

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations.

Balázs Hidasi, Massimo Quadrana, Alexandros Karatzoglou, Domonkos Tikk

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

A Genetic Algorithm to Discover Flexible Motifs with Support.

Joan Serrà, Aleksandar Matic, Josep Lluís Arcos, Alexandros Karatzoglou

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015

Data-Dependent Clustering in Exploration-Exploitation Algorithms.

Shuai Li, Claudio Gentile, Alexandros Karatzoglou, Giovanni Zappella

CoRR, 2015

Frappe: Understanding the Usage and Perception of Mobile App Recommendations In-The-Wild.

Linas Baltrunas, Karen Church, Alexandros Karatzoglou, Nuria Oliver

CoRR, 2015

Recommendation with the Right Slice: Speeding Up Collaborative Filtering with Factorization Machines.

Babak Loni, Martha A. Larson, Alexandros Karatzoglou, Alan Hanjalic

Proceedings of the Poster Proceedings of the 9th ACM Conference on Recommender Systems, 2015

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

Proceedings of the Posters, 2014

Gaussian process factorization machines for context-aware recommendations.

Trung V. Nguyen, Alexandros Karatzoglou, Linas Baltrunas

Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

Coverage, redundancy and size-awareness in genre diversity for recommender systems.

Saúl Vargas, Linas Baltrunas, Alexandros Karatzoglou, Pablo Castells

Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Question recommendation for collaborative question answering systems with RankSLDA.

José San Pedro, Alexandros Karatzoglou

Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Overview of ACM RecSys CrowdRec 2014 workshop: crowdsourcing and human computation for recommender systems.

Martha A. Larson, Paolo Cremonesi, Alexandros Karatzoglou

Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

CARS2: Learning Context-aware Representations for Context-aware Recommendations.

Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

xCLiMF: optimizing expected reciprocal rank for data with multiple levels of relevance.

Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Learning to rank for recommender systems.

Alexandros Karatzoglou, Linas Baltrunas, Yue Shi

Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Socially Enabled Preference Learning from Implicit Feedback Data.

Julien Delporte, Alexandros Karatzoglou, Tomasz Matuszczyk, Stéphane Canu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

CLiMF: Collaborative Less-Is-More Filtering.

Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Nuria Oliver, Alan Hanjalic

Proceedings of the IJCAI 2013, 2013

Event Detection in Communication and Transportation Data.

Joachim Neumann, Manqi Zao, Alexandros Karatzoglou, Nuria Oliver

Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013

GAPfm: optimal top-n recommendations for graded relevance domains.

Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Multiple Outcome Supervised Latent Dirichlet Allocation for Expert Discovery in Online Forums.

José San Pedro, Alexandros Karatzoglou

Proceedings of the Late-Breaking Developments in the Field of Artificial Intelligence, 2013

2012

TFMAP: optimizing MAP for top-n context-aware recommendation.

Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, Martha A. Larson, Alan Hanjalic, Nuria Oliver

Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

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

Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

Climbing the app wall: enabling mobile app discovery through context-aware recommendations.

Alexandros Karatzoglou, Linas Baltrunas, Karen Church, Matthias Böhmer

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Apprentissage et Factorisation pour la Recommandation.

Julien Delporte, Stéphane Canu, Alexandros Karatzoglou

Proceedings of the Apprentissage Artificiel et Fouille de Données, 2012

2011

Collaborative temporal order modeling.

Alexandros Karatzoglou

Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

Towards a psychographic user model from mobile phone usage.

Rodrigo de Oliveira, Alexandros Karatzoglou, Pedro Concejero Cerezo, Ana Armenta Lopez de Vicuña, Nuria Oliver

Proceedings of the International Conference on Human Factors in Computing Systems, 2011

2010

Collaborative Filtering on a Budget.

Alexandros Karatzoglou, Alexander J. Smola, Markus Weimer

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Kernel-based machine learning for fast text mining in R.

Alexandros Karatzoglou, Ingo Feinerer

Comput. Stat. Data Anal., 2010

Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering.

Alexandros Karatzoglou, Xavier Amatriain, Linas Baltrunas, Nuria Oliver

Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

Quantile Matrix Factorization for Collaborative Filtering.

Alexandros Karatzoglou, Markus Weimer

Proceedings of the E-Commerce and Web Technologies, 11th International Conference, 2010

Collaborative Preference Learning.

Alexandros Karatzoglou, Markus Weimer

Proceedings of the Preference Learning., 2010

2009

Maximum margin matrix factorization for code recommendation.

Markus Weimer, Alexandros Karatzoglou, Marcel Bruch

Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

2008

Improving maximum margin matrix factorization.

Markus Weimer, Alexandros Karatzoglou, Alexander J. Smola

Mach. Learn., 2008

Adaptive collaborative filtering.

Markus Weimer, Alexandros Karatzoglou, Alexander J. Smola

Proceedings of the 2008 ACM Conference on Recommender Systems, 2008

Nonparametric Distribution Analysis for Text Mining.

Alexandros Karatzoglou, Ingo Feinerer, Kurt Hornik

Proceedings of the Advances in Data Analysis, Data Handling and Business Intelligence, 2008

2007

COFI RANK - Maximum Margin Matrix Factorization for Collaborative Ranking .

Markus Weimer, Alexandros Karatzoglou, Quoc V. Le, Alexander J. Smola

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2006

Text Clustering with String Kernels in R.

Alexandros Karatzoglou, Ingo Feinerer

Proceedings of the Advances in Data Analysis, 2006

2005

Step size-adapted online support vector learning.

Alexandros Karatzoglou, S. V. N. Vishwanathan, Nicol N. Schraudolph, Alexander J. Smola

Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005

2003

Simulation and Validation of an Integrated Markets Model.

Brian Sallans, Alexander Pfister, Alexandros Karatzoglou, Georg Dorffner

J. Artif. Soc. Soc. Simul., 2003