| 2026 | AAAI | Choosing Abstraction Levels for Model-Based Software Debugging: A Theoretical and Empirical Analysis for Spreadsheet Programs (Abstract Reprint). | Patrick Rodler, Birgit Hofer, Dietmar Jannach, Iulia Nica, Franz Wotawa |
| 2026 | SAC | Do Users Prefer Personality-Aligned Explanations? A Generative OCEAN Approach to Recommender Systems. | Gabrielle Alves, Dietmar Jannach, Luan Soares de Souza, Marcelo Garcia Manzato |
| 2025 | ECIR | Checky, the Paper-Submission Checklist Generator for Authors, Reviewers and LLMs. | Joeran Beel, Bela Gipp, Dietmar Jannach, Alan Said, Lukas Wegmeth, Tobias Vente |
| 2025 | ECIR | Evaluating Sequential Recommendations in the Wild: A Case Study on Offline Accuracy, Click Rates, and Consumption. | Anastasiia Klimashevskaia, Snorre Alvsvg, Christoph Trattner, Alain D. Starke, Astrid Tessem, Dietmar Jannach |
| 2025 | RecSys | RecSys Challenge 2025: Universal Behavioral Profiles for Recommender Systems. | Jacek Dabrowski, Maria Janicka, Lukasz Sienkiewicz, Gergely Stomfai, Dietmar Jannach, Francesco Barile, Marco Polignano, Claudio Pomo, Abhishek Srivastava |
| 2025 | RecSys | Towards Personality-Aware Explanations for Music Recommendations Using Generative AI. | Gabrielle Alves, Dietmar Jannach, Luan Soares de Souza, Marcelo Garcia Manzato |
| 2025 | RecSys | Do We Really Need Specialization? Evaluating Generalist Text Embeddings for Zero-Shot Recommendation and Search. | Matteo Attimonelli, Alessandro De Bellis, Claudio Pomo, Dietmar Jannach, Eugenio Di Sciascio, Tommaso Di Noia |
| 2025 | RecSys | Balanced Public Service Media Recommendation Trade-offs with a Light Carbon Footprint. | Marcel Hauck, Michael Huber, Juri Diels, David Wittenberg, Dietmar Jannach |
| 2025 | RecSys | First International Workshop on Data Quality-Aware Multimodal Recommendation (DaQuaMRec). | Claudio Pomo, Dietmar Jannach, Yubin Kim, Daniele Malitesta, Alberto Carlo Maria Mancino, Julian J. McAuley, Alessandro B. Melchiorre, Shah Nawaz |
| 2025 | RecSys | "We Share Our Code Online": Why This Is Not Enough to Ensure Reproducibility and Progress in Recommender Systems Research. | Faisal Shehzad, Timo Breuer, Maria Maistro, Dietmar Jannach |
| 2025 | RecSys | Revisiting the Performance of Graph Neural Networks for Session-based Recommendation. | Faisal Shehzad, Dietmar Jannach |
| 2025 | RecSys | Beyond Visit Trajectories: Enhancing POI Recommendation via LLM-Augmented Text and Image Representations. | Zehui Wang, Wolfram Hpken, Dietmar Jannach |
| 2025 | SIGIR | Reassessing the Effectiveness of Reinforcement Learning based Recommender Systems for Sequential Recommendation. | Dilina Chandika Rajapakse, Dietmar Jannach |
| 2025 | SIGIR | A Worrying Reproducibility Study of Intent-Aware Recommendation Models. | Faisal Shehzad, Maurizio Ferrari Dacrema, Dietmar Jannach |
| 2024 | DX | Summary of "Randomized Problem-Relaxation Solving for Over-Constrained Schedules" (Extended Abstract). | Patrick Rodler, Erich Teppan, Dietmar Jannach |
| 2024 | ECIR | Performance Comparison of Session-Based Recommendation Algorithms Based on GNNs. | Faisal Shehzad, Dietmar Jannach |
| 2024 | QRS | Investigating Reproducibility in Deep Learning-Based Software Fault Prediction. | Adil Mukhtar, Dietmar Jannach, Franz Wotawa |
| 2023 | RecSys | Leveraging Large Language Models for Sequential Recommendation. | Jesse Harte, Wouter Zorgdrager, Panos Louridas, Asterios Katsifodimos, Dietmar Jannach, Marios Fragkoulis |
| 2023 | RecSys | Evaluating The Effects of Calibrated Popularity Bias Mitigation: A Field Study. | Anastasiia Klimashevskaia, Mehdi Elahi, Dietmar Jannach, Lars Skjrven, Astrid Tessem, Christoph Trattner |
| 2023 | RecSys | Everyone's a Winner! On Hyperparameter Tuning of Recommendation Models. | Faisal Shehzad, Dietmar Jannach |
| 2023 | WWW | Semi-supervised Adversarial Learning for Complementary Item Recommendation. | Koby Bibas, Oren Sar Shalom, Dietmar Jannach |
| 2023 | SIGIR | Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning. | Siyu Wang, Xiaocong Chen, Dietmar Jannach, Lina Yao |
| 2022 | CIKM | Collaborative Image Understanding. | Koby Bibas, Oren Sar Shalom, Dietmar Jannach |
| 2022 | CIKM | Towards a theoretical formalization of conversational recommendation. | Tommaso Di Noia, Francesco Maria Donini, Dietmar Jannach, Fedelucio Narducci, Claudio Pomo |
| 2022 | RecSys | Multi-Objective Recommendation: Overview and Challenges. | Dietmar Jannach |
| 2022 | RecSys | Streaming Session-Based Recommendation: When Graph Neural Networks meet the Neighborhood. | Sara Latifi, Dietmar Jannach |
| 2022 | RecSys | INFACT: An Online Human Evaluation Framework for Conversational Recommendation. | Ahtsham Manzoor, Dietmar Jannach |
| 2022 | RecSys | INSPIRED2: An Improved Dataset for Sociable Conversational Recommendation. | Ahtsham Manzoor, Dietmar Jannach |
| 2021 | KR | Randomized Problem-Relaxation Solving for Over-Constrained Schedules. | Patrick Rodler, Erich Teppan, Dietmar Jannach |
| 2021 | RecSys | Semi-Automated Identification of News Story Chains: A New Dataset and Entity-based Labeling Method. | Fatih Gedikli, Anne Stockem Novo, Dietmar Jannach |
| 2021 | RecSys | Generation-based vs. Retrieval-based Conversational Recommendation: A User-Centric Comparison. | Ahtsham Manzoor, Dietmar Jannach |
| 2021 | WSDM | A Black-Box Attack Model for Visually-Aware Recommender Systems. | Rami Cohen, Oren Sar Shalom, Dietmar Jannach, Amihood Amir |
| 2020 | CIKM | Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems. | Maurizio Ferrari Dacrema, Federico Parroni, Paolo Cremonesi, Dietmar Jannach |
| 2020 | IJCAI | Methodological Issues in Recommender Systems Research (Extended Abstract). | Maurizio Ferrari Dacrema, Paolo Cremonesi, Dietmar Jannach |
| 2020 | RecSys | Exploring Longitudinal Effects of Session-based Recommendations. | Andres Ferraro, Dietmar Jannach, Xavier Serra |
| 2020 | RecSys | End-to-End Learning for Conversational Recommendation: A Long Way to Go? | Dietmar Jannach, Ahtsham Manzoor |
| 2020 | RecSys | Why Are Deep Learning Models Not Consistently Winning Recommender Systems Competitions Yet?: A Position Paper. | Dietmar Jannach, Gabriel de Souza Pereira Moreira, Even Oldridge |
| 2020 | RecSys | Second Workshop on the Impact of Recommender Systems at ACM RecSys '20. | Oren Sar Shalom, Dietmar Jannach, Joseph A. Konstan |
| 2020 | SIGIR | ECOM'20: The SIGIR 2020 Workshop on eCommerce. | Dietmar Jannach, Surya Kallumadi, Tracy Holloway King, Weihua Luo, Shervin Malmasi |
| 2019 | RecSys | Are we really making much progress? A worrying analysis of recent neural recommendation approaches. | Maurizio Ferrari Dacrema, Paolo Cremonesi, Dietmar Jannach |
| 2019 | RecSys | Towards More Impactful Recommender Systems Research. | Dietmar Jannach, Oren Sar Shalom, Joseph A. Konstan |
| 2019 | RecSys | User-centric evaluation of session-based recommendations for an automated radio station. | Malte Ludewig, Dietmar Jannach |
| 2019 | RecSys | Learning to rank hotels for search and recommendation from session-based interaction logs and meta data. | Malte Ludewig, Dietmar Jannach |
| 2019 | RecSys | Performance comparison of neural and non-neural approaches to session-based recommendation. | Malte Ludewig, Noemi Mauro, Sara Latifi, Dietmar Jannach |
| 2019 | RecSys | On the Importance of News Content Representation in Hybrid Neural Session-based Recommender Systems. | Gabriel de Souza Pereira Moreira, Dietmar Jannach, Adilson Marques da Cunha |
| 2019 | RecSys | First workshop on the impact of recommender systems at ACM RecSys 2019. | Oren Sar Shalom, Dietmar Jannach, Ido Guy |
| 2019 | WWW | Tutorial: Sequence-Aware Recommender Systems. | Massimo Quadrana, Dietmar Jannach, Paolo Cremonesi |
| 2018 | ICSE | Combining spreadsheet smells for improved fault prediction. | Patrick W. Koch, Konstantin Schekotihin, Dietmar Jannach, Birgit Hofer, Franz Wotawa, Thomas Schmitz |
| 2018 | IUI | How Automated Recommendations Affect the Playlist Creation Behavior of Users. | Iman Kamehkhosh, Dietmar Jannach, Geoffray Bonnin |
| 2018 | KI | Keynote: Session-Based Recommendation - Challenges and Recent Advances. | Dietmar Jannach |
| 2018 | RecSys | Streamingrec: a framework for benchmarking stream-based news recommenders. | Michael Jugovac, Dietmar Jannach, Mozhgan Karimi |
| 2018 | RecSys | Effective Nearest-Neighbor Music Recommendations. | Malte Ludewig, Iman Kamehkhosh, Nick Landia, Dietmar Jannach |
| 2017 | FlAIRS | Investigating Personalized Search in E-Commerce. | Dietmar Jannach, Malte Ludewig |
| 2017 | IUI | Interacting with Recommender Systems. | Dietmar Jannach, Ingrid Nunes, Michael Jugovac |
| 2017 | RecSys | Challenges of Session-Aware Recommendation in E-Commerce. | Dietmar Jannach |
| 2017 | RecSys | Interacting with Recommenders. | Dietmar Jannach |
| 2017 | RecSys | When Recurrent Neural Networks meet the Neighborhood for Session-Based Recommendation. | Dietmar Jannach, Malte Ludewig |
| 2017 | RecSys | A Comparison of Frequent Pattern Techniques and a Deep Learning Method for Session-Based Recommendation. | Iman Kamehkhosh, Dietmar Jannach, Malte Ludewig |
| 2017 | SAC | Leveraging multi-dimensional user models for personalized next-track music recommendation. | Dietmar Jannach, Iman Kamehkhosh, Lukas Lerche |
| 2017 | SAC | Determining characteristics of successful recommendations from log data: a case study. | Dietmar Jannach, Malte Ludewig |
| 2017 | SAC | Offline performance vs. subjective quality experience: a case study in video game recommendation. | Dietmar Jannach, Lukas Lerche |
| 2016 | IJCAI | Efficient Sequential Model-Based Fault-Localization with Partial Diagnoses. | Kostyantyn M. Shchekotykhin, Thomas Schmitz, Dietmar Jannach |
| 2016 | RecSys | Recommendations with a Purpose. | Dietmar Jannach, Gediminas Adomavicius |
| 2016 | RecSys | Investigating Mere-Presence Effects of Recommendations on the Consumer Choice Process. | Sren Kcher, Dietmar Jannach, Michael Jugovac, Hartmut H. Holzmller |
| 2015 | AAAI | Parallelized Hitting Set Computation for Model-Based Diagnosis. | Dietmar Jannach, Thomas Schmitz, Kostyantyn M. Shchekotykhin |
| 2015 | IJCAI | MergeXplain: Fast Computation of Multiple Conflicts for Diagnosis. | Kostyantyn M. Shchekotykhin, Dietmar Jannach, Thomas Schmitz |
| 2015 | ICSE | Using Calculation Fragments for Spreadsheet Testing and Debugging. | Dietmar Jannach, Thomas Schmitz |
| 2015 | IUI | Adaptive Recommendation-based Modeling Support for Data Analysis Workflows. | Dietmar Jannach, Michael Jugovac, Lukas Lerche |
| 2015 | RecSys | Adaptation and Evaluation of Recommendations for Short-term Shopping Goals. | Dietmar Jannach, Lukas Lerche, Michael Jugovac |
| 2015 | RecSys | Item Familiarity Effects in User-Centric Evaluations of Recommender Systems. | Dietmar Jannach, Lukas Lerche, Michael Jugovac |
| 2015 | RecSys | Beyond "Hitting the Hits": Generating Coherent Music Playlist Continuations with the Right Tracks. | Dietmar Jannach, Lukas Lerche, Iman Kamehkhosh |
| 2015 | SAFEProcess | A Divide-And-Conquer-Method for Computing Multiple Conflicts for Diagnosis. | Kostyantyn M. Shchekotykhin, Dietmar Jannach, Thomas Schmitz |
| 2014 | RecSys | Recommendation-based modeling support for data mining processes. | Dietmar Jannach, Simon Fischer |
| 2014 | RecSys | The sixth ACM RecSys workshop on recommender systems and the social web. | Dietmar Jannach, Jill Freyne, Werner Geyer, Ido Guy, Andreas Hotho, Bamshad Mobasher |
| 2014 | RecSys | Analyzing the Characteristics of Shared Playlists for Music Recommendation. | Dietmar Jannach, Iman Kamehkhosh, Geoffray Bonnin |
| 2014 | RecSys | Using graded implicit feedback for bayesian personalized ranking. | Lukas Lerche, Dietmar Jannach |
| 2013 | ENASE | Toward an Integrated Framework for Declarative and Interactive Spreadsheet Debugging. | Dietmar Jannach, Arash Baharloo, David Williamson |
| 2013 | RecSys | The fifth ACM RecSys workshop on recommender systems and the social web. | Bamshad Mobasher, Dietmar Jannach, Werner Geyer, Jill Freyne, Andreas Hotho, Sarabjot Singh Anand, Ido Guy |
| 2012 | ENTER | Recommending Hotels based on Multi-Dimensional Customer Ratings. | Dietmar Jannach, Fatih Gedikli, Zeynep Karakaya, Oliver Juwig |
| 2012 | RecSys | 4th ACM RecSys workshop on recommender systems and the social web. | Bamshad Mobasher, Dietmar Jannach, Werner Geyer, Andreas Hotho |
| 2011 | IJCAI | Placing High-Diversity Items in Top-N Recommendation Lists. | Mouzhi Ge, Fatih Gedikli, Dietmar Jannach |
| 2010 | RecSys | Recommending based on rating frequencies. | Fatih Gedikli, Dietmar Jannach |
| 2010 | RecSys | Beyond accuracy: evaluating recommender systems by coverage and serendipity. | Mouzhi Ge, Carla Delgado-Battenfeld, Dietmar Jannach |
| 2010 | WISE | Neighborhood-Restricted Mining and Weighted Application of Association Rules for Recommenders. | Fatih Gedikli, Dietmar Jannach |
| 2009 | IJCAI | Effectiveness of Different Recommender Algorithms in the Mobile Internet: A Case Study. | Kolja Hegelich, Dietmar Jannach |
| 2009 | RecSys | Workshop on recommender systems and the social web. | Dietmar Jannach, Werner Geyer, Casey Dugan, Jill Freyne, Sarabjot S. Anand, Bamshad Mobasher, Alfred Kobsa |
| 2009 | RecSys | A case study on the effectiveness of recommendations in the mobile internet. | Dietmar Jannach, Kolja Hegelich |
| 2008 | ICDM | xCrawl: A High-Recall Crawling Method for Web Mining. | Kostyantyn M. Shchekotykhin, Dietmar Jannach, Gerhard Friedrich |
| 2008 | SEKE | Knowledge-based System Development with Scripting Technology: A Recommender System Example. | Dietmar Jannach |
| 2007 | ENTER | Developing a Conversational Travel Advisor with ADVISOR SUITE. | Dietmar Jannach, Markus Zanker, Markus Jessenitschnig, Oskar Seidler |
| 2007 | IJCAI | Handling Alternative Activities in Resource-Constrained Project Scheduling Problems. | Jrgen Kuster, Dietmar Jannach, Gerhard Friedrich |
| 2006 | KI | Techniques for Fast Query Relaxation in Content-Based Recommender Systems. | Dietmar Jannach |
| 2004 | ECAI | ADVISOR SUITE - A Knowledge-Based Sales Advisory-System. | Dietmar Jannach |
| 2004 | ICWE | Advisor Suite: A Tool for Rapid Development of Maintainable Online Sales Advisory Systems. | Dietmar Jannach, Gerold Kreutler |
| 2004 | SEKE | Building on-line sales assistance systems with ADVISOR SUITE. | Dietmar Jannach, Gerold Kreutler |
| 2004 | WISE | A Knowledge-Based Framework for the Rapid Development of Conversational Recommenders. | Dietmar Jannach, Gerold Kreutler |
| 2004 | WISE | Toward Semantic Web Services for Multimedia Adaptation. | Dietmar Jannach, Klaus Leopold, Christian Timmerer, Hermann Hellwagner |
| 2002 | ECAI | Personalising On-Line Configuration of Products and Services. | Liliana Ardissono, Alexander Felfernig, Gerhard Friedrich, Anna Goy, Dietmar Jannach, Markus Meyer, Giovanna Petrone, Ralph Schfer, Wilken Schuetz, Markus Zanker |
| 2002 | ECAI | A Framework for Rapid Development of Advanced Web-based Configurator Applications. | Liliana Ardissono, Alexander Felfernig, Gerhard Friedrich, Dietmar Jannach, Markus Zanker, Ralph Schfer |
| 2002 | EKAW | Acquiring Configuration Knowledge Bases in the Semantic Web Using UML. | Alexander Felfernig, Gerhard Friedrich, Dietmar Jannach, Markus Stumptner, Markus Zanker |
| 2001 | KI | Hierarchical Diagnosis of Large Configurator Knowledge Bases. | Alexander Felfernig, Gerhard Friedrich, Dietmar Jannach, Markus Stumptner, Markus Zanker |
| 2001 | KI | Towards Distributed Configuration. | Alexander Felfernig, Gerhard Friedrich, Dietmar Jannach, Markus Zanker |
| 2000 | ECAI | Consistency-Based Diagnosis of Configuration Knowledge Bases. | Alexander Felfernig, Gerhard Friedrich, Dietmar Jannach, Markus Stumptner |
| 2000 | EKAW | Integrating Knowledge-Based Configuration Systems by Sharing Functional Architectures. | Alexander Felfernig, Gerhard Friedrich, Dietmar Jannach, Markus Zanker |