Dietmar Jannach

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 177

Top Venues

CoRR

RecSys

User Model. User Adapt. Interact.

UMAP

Publications

Laurens Rook, Markus Zanker, Dietmar Jannach
Are We Losing Interest in Context-Aware Recommender Systems? UMAP (Adjunct Publication) (2024)
Dietmar Jannach, Markus Zanker
A Survey on Intent-aware Recommender Systems. CoRR (2024)
Faisal Shehzad, Dietmar Jannach
Performance Comparison of Session-Based Recommendation Algorithms Based on GNNs. ECIR (4) (2024)
Adil Mukhtar, Dietmar Jannach, Franz Wotawa
Investigating Reproducibility in Deep Learning-Based Software Fault Prediction. CoRR (2024)
Yashar Deldjoo, Dietmar Jannach, Alejandro Bellogín, Alessandro Difonzo, Dario Zanzonelli
Fairness in recommender systems: research landscape and future directions. User Model. User Adapt. Interact. 34 (1) (2024)
Artun Boz, Wouter Zorgdrager, Zoe Kotti, Jesse Harte, Panos Louridas, Dietmar Jannach, Marios Fragkoulis
Improving Sequential Recommendations with LLMs. CoRR (2024)
Gabrielle Alves, Dietmar Jannach, Rodrigo Ferrari de Souza, Marcelo Garcia Manzato
User Perception of Fairness-Calibrated Recommendations. UMAP (2024)
Ahtsham Manzoor, Samuel C. Ziegler, Klaus Maria Pirker Garcia, Dietmar Jannach
ChatGPT as a Conversational Recommender System: A User-Centric Analysis. UMAP (2024)
Josef Bauer, Dietmar Jannach
Hybrid session-aware recommendation with feature-based models. User Model. User Adapt. Interact. 34 (3) (2024)
Nicholas Diakopoulos, Christoph Trattner, Dietmar Jannach, Irene Costera Meijer, Enrico Motta
Leveraging Professional Ethics for Responsible AI. Commun. ACM 67 (2) (2024)
Jin Li, Shoujin Wang, Qi Zhang, Longbing Cao, Fang Chen, Xiuzhen Zhang, Dietmar Jannach, Charu C. Aggarwal
Causal Learning for Trustworthy Recommender Systems: A Survey. CoRR (2024)
Dietmar Jannach, Himan Abdollahpouri
A survey on multi-objective recommender systems. Frontiers Big Data 6 (2024)
Alvise De Biasio, Dietmar Jannach, Nicolò Navarin
Model-based approaches to profit-aware recommendation. Expert Syst. Appl. 249 (2024)
Alvise De Biasio, Nicolò Navarin, Dietmar Jannach
Economic recommender systems - a systematic review. Electron. Commer. Res. Appl. 63 (2024)
Gabrielle Alves, Dietmar Jannach, Rodrigo Ferrari de Souza, Daniela E. Damian, Marcelo Garcia Manzato
Digitally nudging users to explore off-profile recommendations: here be dragons. User Model. User Adapt. Interact. 34 (2) (2024)
Jesse Harte, Wouter Zorgdrager, Panos Louridas, Asterios Katsifodimos, Dietmar Jannach, Marios Fragkoulis
Leveraging Large Language Models for Sequential Recommendation. RecSys (2023)
Anastasiia Klimashevskaia, Mehdi Elahi, Dietmar Jannach, Lars Skjærven, Astrid Tessem, Christoph Trattner
Evaluating The Effects of Calibrated Popularity Bias Mitigation: A Field Study. RecSys (2023)
Veronika Bogina, Tsvi Kuflik, Dietmar Jannach, Mária Bieliková, Michal Kompan, Christoph Trattner
Considering temporal aspects in recommender systems: a survey. User Model. User Adapt. Interact. 33 (1) (2023)
Faisal Shehzad, Dietmar Jannach
Everyone's a Winner! On Hyperparameter Tuning of Recommendation Models. RecSys (2023)
Christine Bauer, Ben Carterette, Nicola Ferro, Norbert Fuhr, Joeran Beel, Timo Breuer, Charles L. A. Clarke, Anita Crescenzi, Gianluca Demartini, Giorgio Maria Di Nunzio, Laura Dietz, Guglielmo Faggioli, Bruce Ferwerda, Maik Fröbe, Matthias Hagen, Allan Hanbury, Claudia Hauff, Dietmar Jannach, Noriko Kando, Evangelos Kanoulas, Bart P. Knijnenburg, Udo Kruschwitz, Meijie Li, Maria Maistro, Lien Michiels, Andrea Papenmeier, Martin Potthast, Paolo Rosso, Alan Said, Philipp Schaer, Christin Seifert, Damiano Spina, Benno Stein, Nava Tintarev, Julián Urbano, Henning Wachsmuth, Martijn C. Willemsen, Justin Zobel
Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education. SIGIR Forum 57 (1) (2023)
Dietmar Jannach
Evaluating conversational recommender systems. Artif. Intell. Rev. 56 (3) (2023)
Li Chen, Dietmar Jannach
ACM Transactions on Recommender Systems: Inaugural Issue Editorial. Trans. Recomm. Syst. 1 (1) (2023)
Alvise De Biasio, Nicolò Navarin, Dietmar Jannach
Economic Recommender Systems - A Systematic Review. CoRR (2023)
Faisal Shehzad, Dietmar Jannach
Performance Comparison of Session-based Recommendation Algorithms based on GNNs. CoRR (2023)
Ahtsham Manzoor, Wanling Cai, Dietmar Jannach
Factors Influencing the Perceived Meaningfulness of System Responses in Conversational Recommendation. IntRS@RecSys (2023)
Anastasiia Klimashevskaia, Dietmar Jannach, Mehdi Elahi, Christoph Trattner
A Survey on Popularity Bias in Recommender Systems. CoRR (2023)
Koby Bibas, Oren Sar Shalom, Dietmar Jannach
Semi-supervised Adversarial Learning for Complementary Item Recommendation. WWW (2023)
Adil Mukhtar, Birgit Hofer, Dietmar Jannach, Franz Wotawa
Explaining software fault predictions to spreadsheet users. J. Syst. Softw. 201 (2023)
Dietmar Jannach
Sequential and Session-based Recommendation: Past, Present, Future. ORSUM@RecSys (2023)
Eduardo Witter dos Santos, Ingrid Nunes, Dietmar Jannach
Team-related Features in Code Review Prediction Models. CoRR (2023)
Zehui Wang, Wolfram Höpken, Dietmar Jannach
A Survey on Point-of-Interest Recommendations Leveraging Heterogeneous Data. CoRR (2023)
Mathias Jesse, Christine Bauer, Dietmar Jannach
Intra-list similarity and human diversity perceptions of recommendations: the details matter. User Model. User Adapt. Interact. 33 (4) (2023)
Xiaocong Chen, Siyu Wang, Julian J. McAuley, Dietmar Jannach, Lina Yao
On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems. CoRR (2023)
Jesse Harte, Wouter Zorgdrager, Panos Louridas, Asterios Katsifodimos, Dietmar Jannach, Marios Fragkoulis
Leveraging Large Language Models for Sequential Recommendation. CoRR (2023)
Siyu Wang, Xiaocong Chen, Dietmar Jannach, Lina Yao
Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning. CoRR (2023)
Pablo Castells, Dietmar Jannach
Recommender Systems: A Primer. CoRR (2023)
Koby Bibas, Oren Sar Shalom, Dietmar Jannach
Semi-supervised Adversarial Learning for Complementary Item Recommendation. CoRR (2023)
Siyu Wang, Xiaocong Chen, Dietmar Jannach, Lina Yao
Causal Decision Transformer for Recommender Systems via Offline Reinforcement Learning. SIGIR (2023)
Ahtsham Manzoor, Dietmar Jannach
INSPIRED2: An Improved Dataset for Sociable Conversational Recommendation. CoRR (2022)
Dietmar Jannach
Multi-Objective Recommender Systems: Survey and Challenges. CoRR (2022)
Dietmar Jannach, Li Chen
Conversational Recommendation: A Grand AI Challenge. CoRR (2022)
Dietmar Jannach
Multi-Objective Recommendation: Overview and Challenges. MORS@RecSys (2022)
Tommaso Di Noia, Francesco Maria Donini, Dietmar Jannach, Fedelucio Narducci, Claudio Pomo
Conversational recommendation: Theoretical model and complexity analysis. Inf. Sci. 614 (2022)
Ahtsham Manzoor, Dietmar Jannach
INSPIRED2: An Improved Dataset for Sociable Conversational Recommendation. KaRS@RecSys (2022)
Yashar Deldjoo, Dietmar Jannach, Alejandro Bellogín, Alessandro Difonzo, Dario Zanzonelli
A Survey of Research on Fair Recommender Systems. CoRR (2022)
Tommaso Di Noia, Francesco Maria Donini, Dietmar Jannach, Fedelucio Narducci, Claudio Pomo
Towards a theoretical formalization of conversational recommendation. CIKM Workshops (2022)
Adil Mukhtar, Birgit Hofer, Dietmar Jannach, Franz Wotawa, Konstantin Schekotihin
Boosting Spectrum-Based Fault Localization for Spreadsheets with Product Metrics in a Learning Approach. ASE (2022)
Ahtsham Manzoor, Dietmar Jannach
Revisiting Retrieval-based Approaches for Conversational Recommender Systems. IIR (2022)
Ahtsham Manzoor, Dietmar Jannach
INFACT: An Online Human Evaluation Framework for Conversational Recommendation. CoRR (2022)
Koby Bibas, Oren Sar Shalom, Dietmar Jannach
Collaborative Image Understanding. CIKM (2022)
Dietmar Jannach, Li Chen
Conversational Recommendation: A Grand AI Challenge. AI Mag. 43 (2) (2022)
Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Dietmar Jannach, Claudio Pomo
Top-N Recommendation Algorithms: A Quest for the State-of-the-Art. UMAP (2022)
Anastasiia Klimashevskaia, Mehdi Elahi, Dietmar Jannach, Christoph Trattner, Lars Skjærven
Mitigating Popularity Bias in Recommendation: Potential and Limits of Calibration Approaches. BIAS (2022)
Ahtsham Manzoor, Dietmar Jannach
INFACT: An Online Human Evaluation Framework for Conversational Recommendation. KaRS@RecSys (2022)
Sagi Eden, Amit Livne, Oren Sar Shalom, Bracha Shapira, Dietmar Jannach
Investigating the Value of Subtitles for Improved Movie Recommendations. UMAP (2022)
Mehdi Elahi, Dietmar Jannach, Lars Skjærven, Erik Knudsen, Helle Sjøvaag, Kristian Tolonen, Øyvind Holmstad, Igor Pipkin, Eivind Throndsen, Agnes Stenbom, Eivind Fiskerud, Adrian Oesch, Loek Vredenberg, Christoph Trattner
Towards responsible media recommendation. AI Ethics 2 (1) (2022)
Vito Walter Anelli, Alejandro Bellogín, Tommaso Di Noia, Dietmar Jannach, Claudio Pomo
Top-N Recommendation Algorithms: A Quest for the State-of-the-Art. CoRR (2022)
Dietmar Jannach, Pearl Pu, Francesco Ricci, Markus Zanker
Recommender Systems: Trends and Frontiers. AI Mag. 43 (2) (2022)
Sara Latifi, Dietmar Jannach
Streaming Session-Based Recommendation: When Graph Neural Networks meet the Neighborhood. RecSys (2022)
Sara Latifi, Dietmar Jannach, Andrés Ferraro
Sequential recommendation: A study on transformers, nearest neighbors and sampled metrics. Inf. Sci. 609 (2022)
Koby Bibas, Oren Sar Shalom, Dietmar Jannach
Collaborative Image Understanding. CoRR (2022)
Dietmar Jannach
Evaluating Conversational Recommender Systems. CoRR (2022)
Ahtsham Manzoor, Dietmar Jannach
Towards retrieval-based conversational recommendation. Inf. Syst. 109 (2022)
Adil Mukhtar, Birgit Hofer, Dietmar Jannach, Franz Wotawa
Spreadsheet debugging: The perils of tool over-reliance. J. Syst. Softw. 184 (2022)
Christoph Trattner, Dietmar Jannach, Enrico Motta, Irene Costera Meijer, Nicholas Diakopoulos, Mehdi Elahi, Andreas L. Opdahl, Bjørnar Tessem, Njål Borch, Morten Fjeld, Lilja Øvrelid, Koenraad De Smedt, Hallvard Moe
Responsible media technology and AI: challenges and research directions. AI Ethics 2 (4) (2022)
Nada Ghanem, Stephan Leitner, Dietmar Jannach
Balancing consumer and business value of recommender systems: A simulation-based analysis. Electron. Commer. Res. Appl. 55 (2022)
Nada Ghanem, Stephan Leitner, Dietmar Jannach
Balancing Consumer and Business Value of Recommender Systems: A Simulation-based Analysis. CoRR (2022)
Dietmar Jannach, Pearl Pu, Francesco Ricci, Markus Zanker
Recommender Systems: Past, Present, Future. AI Mag. 42 (3) (2021)
Josef Bauer, Dietmar Jannach
Improved Customer Lifetime Value Prediction With Sequence-To-Sequence Learning and Feature-Based Models. ACM Trans. Knowl. Discov. Data 15 (5) (2021)
Karin Hodnigg, Christian Macho, Martin Pinzger, Dietmar Jannach
Comprehending Spreadsheets: Which Strategies do Users Apply? ICPC (2021)
Rami Cohen, Oren Sar Shalom, Dietmar Jannach, Amihood Amir
A Black-Box Attack Model for Visually-Aware Recommender Systems. WSDM (2021)
Paolo Cremonesi, Dietmar Jannach
Progress in Recommender Systems Research: Crisis? What Crisis? AI Mag. 42 (3) (2021)
Fatih Gedikli, Anne Stockem Novo, Dietmar Jannach
Semi-Automated Identification of News Story Chains: A New Dataset and Entity-based Labeling Method. INRA@RecSys (2021)
Dietmar Jannach, Mathias Jesse, Michael Jugovac, Christoph Trattner
Exploring Multi-List User Interfaces for Similar-Item Recommendations. UMAP (2021)
Tommaso Di Noia, Francesco M. Donini, Dietmar Jannach, Fedelucio Narducci, Claudio Pomo
Conversational Recommendation: Theoretical Model and Complexity Analysis. CoRR (2021)
Dietmar Jannach, Ahtsham Manzoor, Wanling Cai, Li Chen
A Survey on Conversational Recommender Systems. ACM Comput. Surv. 54 (5) (2021)
Birgit Hofer, Dietmar Jannach, Patrick W. Koch, Konstantin Schekotihin, Franz Wotawa
Product metrics for spreadsheets - A systematic review. J. Syst. Softw. 175 (2021)
Mathias Jesse, Dietmar Jannach
Explorations in Digital Nudging for Online Food Choices. PACIS (2021)
Maurizio Ferrari Dacrema, Simone Boglio, Paolo Cremonesi, Dietmar Jannach
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research. ACM Trans. Inf. Syst. 39 (2) (2021)
Ahtsham Manzoor, Dietmar Jannach
Towards Retrieval-based Conversational Recommendation. CoRR (2021)
Patrick W. Koch, Konstantin Schekotihin, Dietmar Jannach, Birgit Hofer, Franz Wotawa
Metric-Based Fault Prediction for Spreadsheets. IEEE Trans. Software Eng. 47 (10) (2021)
Malte Ludewig, Noemi Mauro, Sara Latifi, Dietmar Jannach
Empirical analysis of session-based recommendation algorithms. User Model. User Adapt. Interact. 31 (1) (2021)
Ahtsham Manzoor, Dietmar Jannach
Generation-based vs. Retrieval-based Conversational Recommendation: A User-Centric Comparison. RecSys (2021)
Sara Latifi, Noemi Mauro, Dietmar Jannach
Session-aware recommendation: A surprising quest for the state-of-the-art. Inf. Sci. 573 (2021)
Gediminas Adomavicius, Dietmar Jannach, Stephan Leitner, Jingjing Zhang
Understanding Longitudinal Dynamics of Recommender Systems with Agent-Based Modeling and Simulation. CoRR (2021)
Patrick Rodler, Erich Teppan, Dietmar Jannach
Randomized Problem-Relaxation Solving for Over-Constrained Schedules. KR (2021)
Rami Cohen, Oren Sar Shalom, Dietmar Jannach, Amihood Amir
A Black-Box Attack Model for Visually-Aware Recommender Systems. CoRR (2020)
Sara Latifi, Noemi Mauro, Dietmar Jannach
Session-aware Recommendation: A Surprising Quest for the State-of-the-art. CoRR (2020)
Oren Sar Shalom, Dietmar Jannach, Joseph A. Konstan
Second Workshop on the Impact of Recommender Systems at ACM RecSys '20. RecSys (2020)
Stephan Leitner, Bartosz Gula, Dietmar Jannach, Ulrike Krieg-Holz, Friederike Wall
Infodemics: A call to action for interdisciplinary research. CoRR (2020)
Christoph Trattner, Dietmar Jannach
Learning to recommend similar items from human judgments. User Model. User Adapt. Interact. 30 (1) (2020)
Dietmar Jannach, Gabriel de Souza Pereira Moreira, Even Oldridge
Why Are Deep Learning Models Not Consistently Winning Recommender Systems Competitions Yet?: A Position Paper. RecSys Challenge (2020)
Maurizio Ferrari Dacrema, Federico Parroni, Paolo Cremonesi, Dietmar Jannach
Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems. CoRR (2020)
Gabriel de Souza Pereira Moreira, Dietmar Jannach, Adilson Marques da Cunha
Hybrid Session-based News Recommendation using Recurrent Neural Networks. CoRR (2020)
Mathias Jesse, Dietmar Jannach
Digital Nudging with Recommender Systems: Survey and Future Directions. CoRR (2020)
Dietmar Jannach, Bamshad Mobasher, Shlomo Berkovsky
Research directions in session-based and sequential recommendation. User Model. User Adapt. Interact. 30 (4) (2020)
Dietmar Jannach, Surya Kallumadi, Tracy Holloway King, Weihua Luo, Shervin Malmasi
ECOM'20: The SIGIR 2020 Workshop on eCommerce. SIGIR (2020)
Maurizio Ferrari Dacrema, Paolo Cremonesi, Dietmar Jannach
Methodological Issues in Recommender Systems Research (Extended Abstract). IJCAI (2020)
Iman Kamehkhosh, Geoffray Bonnin, Dietmar Jannach
Effects of recommendations on the playlist creation behavior of users. User Model. User Adapt. Interact. 30 (2) (2020)
Dietmar Jannach, Ahtsham Manzoor
End-to-End Learning for Conversational Recommendation: A Long Way to Go? IntRS@RecSys (2020)

Dietmar Jannach.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Dietmar Jannach