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Dietmar Jannach

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Causal Learning for Trustworthy Recommender Systems: A Survey

Feb 13, 2024
Jin Li, Shoujin Wang, Qi Zhang, Longbing Cao, Fang Chen, Xiuzhen Zhang, Dietmar Jannach, Charu C. Aggarwal

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Investigating Reproducibility in Deep Learning-Based Software Fault Prediction

Feb 08, 2024
Adil Mukhtar, Dietmar Jannach, Franz Wotawa

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Improving Sequential Recommendations with LLMs

Feb 02, 2024
Artun Boz, Wouter Zorgdrager, Zoe Kotti, Jesse Harte, Panos Louridas, Dietmar Jannach, Marios Fragkoulis

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Performance Comparison of Session-based Recommendation Algorithms based on GNNs

Dec 27, 2023
Faisal Shehzad, Dietmar Jannach

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Team-related Features in Code Review Prediction Models

Dec 11, 2023
Eduardo Witter, Ingrid Nunes, Dietmar Jannach

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Leveraging Large Language Models for Sequential Recommendation

Sep 17, 2023
Jesse Harte, Wouter Zorgdrager, Panos Louridas, Asterios Katsifodimos, Dietmar Jannach, Marios Fragkoulis

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Economic Recommender Systems -- A Systematic Review

Aug 23, 2023
Alvise De Biasio, Nicolò Navarin, Dietmar Jannach

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On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems

Aug 22, 2023
Xiaocong Chen, Siyu Wang, Julian McAuley, Dietmar Jannach, Lina Yao

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A Survey on Point-of-Interest Recommendations Leveraging Heterogeneous Data

Aug 16, 2023
Zehui Wang, Wolfram Höpken, Dietmar Jannach

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A Survey on Popularity Bias in Recommender Systems

Aug 11, 2023
Anastasiia Klimashevskaia, Dietmar Jannach, Mehdi Elahi, Christoph Trattner

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