Alexandros Karatzoglou

2025

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Large Language Model driven Policy Exploration for Recommender Systems.
Jie Wang|Alexandros Karatzoglou|Ioannis Arapakis|Joemon M. Jose
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025
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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
Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025

2024

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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
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
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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
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024
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Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling.
Jie Wang|Alexandros Karatzoglou|Ioannis Arapakis|Joemon M. Jose
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024

2023

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Latent User Intent Modeling for Sequential Recommenders.
Bo Chang|Alexandros Karatzoglou|Yuyan Wang|Can Xu|Ed H. Chi|Minmin Chen
Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023
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Investigating Action-Space Generalization in Reinforcement Learning for Recommendation Systems.
Abhishek Naik|Bo Chang|Alexandros Karatzoglou|Martin Mladenov|Ed H. Chi|Minmin Chen
Companion Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023

2022

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Enhancing Top-N Item Recommendations by Peer Collaboration.
Yang Sun|Fajie Yuan|Min Yang|Alexandros Karatzoglou|Li Shen|Xiaoyan Zhao
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022
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Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective.
Xin Xin|Tiago Pimentel|Alexandros Karatzoglou|Pengjie Ren|Konstantina Christakopoulou|Zhaochun Ren
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022
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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
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022
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Supervised Advantage Actor-Critic for Recommender Systems.
Xin Xin|Alexandros Karatzoglou|Ioannis Arapakis|Joemon M. Jose
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022

2021

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Disentangling Preference Representations for Recommendation Critiquing with ß-VAE.
Preksha Nema|Alexandros Karatzoglou|Filip Radlinski
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021
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On Interpretation and Measurement of Soft Attributes for Recommendation.
Krisztian Balog|Filip Radlinski|Alexandros Karatzoglou
SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021
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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 '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021

2020

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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, SIGIR 2020, Virtual Event, China, July 25-30, 2020
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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, SIGIR 2020, Virtual Event, China, July 25-30, 2020

2019

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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, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019

2018

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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, CIKM 2018, Torino, Italy, October 22-26, 2018
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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, ICTIR 2018, Tianjin, China, September 14-17, 2018

2016

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Collaborative Filtering Bandits.
Shuai Li|Alexandros Karatzoglou|Claudio Gentile
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, SIGIR 2016, Pisa, Italy, July 17-21, 2016

2014

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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, CIKM 2014, Shanghai, China, November 3-7, 2014
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Gaussian process factorization machines for context-aware recommendations.
Trung V. Nguyen|Alexandros Karatzoglou|Linas Baltrunas
The 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '14, Gold Coast , QLD, Australia - July 06 - 11, 2014

2013

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GAPfm: optimal top-n recommendations for graded relevance domains.
Yue Shi|Alexandros Karatzoglou|Linas Baltrunas|Martha A. Larson|Alan Hanjalic
22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013

2012

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Climbing the app wall: enabling mobile app discovery through context-aware recommendations.
Alexandros Karatzoglou|Linas Baltrunas|Karen Church|Matthias Böhmer
21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012
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TFMAP: optimizing MAP for top-n context-aware recommendation.
Yue Shi|Alexandros Karatzoglou|Linas Baltrunas|Martha A. Larson|Alan Hanjalic|Nuria Oliver
The 35th International ACM SIGIR conference on research and development in Information Retrieval, SIGIR '12, Portland, OR, USA, August 12-16, 2012