Publications

Patrick Rodler, Fatima Elichanova: Do We Really Sample Right In Model-Based Diagnosis? . DX-2020 Conference Proceedings, 2020, S. 1 - 8.

Dietmar Jannach, Michael Jugovac: Measuring the Business Value of Recommender Systems. ACM Transactions on Management Information Systems (TMIS), Association for Computing Machinery (ACM), 10, New York, 2019, S. 1 - 23.

Claudia Steinberger, Joachim Frießer: SEMANTICAL ENRICHMENT OF WEB USER INTERFACES IN THE CROWD. IADIS International Journal on WWW/Internet, International Association for Development of the Information Society (IADIS), 17, Lisbon, 2019, S. 56 - 70.

Gabriel de Souza P. Moreira, Dietmar Jannach, Adilson Marques da Cunha: Contextual Hybrid Session-based News Recommendation with Recurrent Neural Networks. IEEE Access, IEEE, 7, Piscataway (NJ), 2019, S. 169185 - 169203.

Claudia Steinberger, Joachim Frießer: Why and How to Capture the Semantics of Web User Interfaces. 18th International Conference on WWW/INTERNET 2019, International Association for Development of the Information Society (IADIS), Lisbon, 2019, S. 35 - 42.

Patrick Rodler, Michael Eichholzer: On the Usefulness of Different Expert Question Types for Fault Localization in Ontologies. 30th Int’l Workshop on Principles of Diagnosis (DX’19), 2019, S. 1 - 8.

Patrick Rodler: Reuse, Reduce and Recycle: Adapting Reiter’s HS-Tree to Sequential Diagnosis. 30th Int’l Workshop on Principles of Diagnosis (DX’19), 2019, S. 1 - 8.

Patrick Koch, Konstantin Schekotihin, Dietmar Jannach, Birgit Gertraud Hofer, Franz Wotawa: Metric-based Fault Prediction for Spreadsheets. IEEE Transactions on Software Engineering, IEEE, 2019,

Oren Sar Shalom, Dietmar Jannach, Ido Guy: Proceedings of the 1st Workshop on the Impact of Recommender Systemsco-located with 13th ACM Conference on Recommender Systems (ACM RecSys 2019). CEUR Workshop Proceedings (CEUR-WS.org), Aachen, 2019,

Christoph Trattner, Dietmar Jannach: Learning to Recommend Similar Items from Human Judgements. User Modeling and User-Adapted Interaction, Springer Verlag GmbH, Berlin, Heidelberg, New York, 2019, S. 1 - 49.

Dietmar Jannach, Oren Sar Shalom, Joseph A. Konstan: Towards More Impactful Recommender Systems Research. Proceedings of the 1st Workshop on the Impact of Recommender Systemsco-located with 13th ACM Conference on Recommender Systems (ACM RecSys 2019), CEUR Workshop Proceedings (CEUR-WS.org), Aachen, 2019,

Malte Ludewig, Dietmar Jannach: Learning to rank hotels for search and recommendation from session-based interaction logs and meta data. RecSys Challenge '19: Proceedings of the Workshop on ACM Recommender Systems Challenge, Association for Computing Machinery (ACM), 2019, S. 1 - 5.

Maurizio Ferrari Dacrema, Paolo Cremonesi, Dietmar Jannach: Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches. RecSys '19: Proceedings of the 13th ACM Conference on Recommender Systems, Association for Computing Machinery (ACM), New York, 2019, S. 101 - 109.

Gabriel de Souza P. Moreira, Dietmar Jannach, Adilson Marques da Cunha: On the Importance of News Content Representation in Hybrid Neural Session-based Recommender Systems. 9th International Workshop on News Recommendation and Analytics (INRA 2019), CEUR Workshop Proceedings (CEUR-WS.org), Aachen, 2019,

Dietmar Jannach, Michael Jugovac, Ingrid Nunes: Explanations and User Control in Recommender Systems. Proceedings of the 23rd International Workshop on Personalization and Recommendation on the Web and Beyond - ABIS 2019, Association for Computing Machinery (ACM), New York, 2019, S. 31

Dietmar Jannach, Michael Jugovac, Ingrid Nunes: Explanations and User Control in Recommender Systems. Personalized Human-Computer Interaction, De Gruyter, Berlin/Boston, 2019, S. 133 - 156.

Malte Ludewig, Dietmar Jannach: User-Centric Evaluation of Session-Based Recommendations for an Automated Radio Station. RecSys '19: Proceedings of the 13th ACM Conference on Recommender Systems, Association for Computing Machinery (ACM), New York, 2019, S. 516 - 520.

Patrick Rodler, Michael Eichholzer: How You Ask Matters: A Simple Expert Questioning Approach for Efficient Ontology Fault Localization. CEUR Workshop Proceedings, CEUR Workshop Proceedings (CEUR-WS.org), 2518, Aachen, 2019,

Malte Ludewig, Noemi Mauro, Sara Latifi Alavijeh, Dietmar Jannach: Performance Comparison of Neural and Non-Neural Approaches to Session-based Recommendation. RecSys '19: Proceedings of the 13th ACM Conference on Recommender Systems, Association for Computing Machinery (ACM), New York, 2019, S. 426 - 466.

Claudia Steinberger, Judith Michael: Using Semantic Markup to Boost Context Awareness for Assistive Systems. Smart Assisted Living, Springer, Berlin, 2019, S. 227 - 246.

Patrick Rodler: Towards Optimizing Reiter's HS-Tree for Sequential Diagnosis. http://arxiv.org/, 2019,

Patrick Rodler, Michael Eichholzer: On the Usefulness of Different Expert Question Types for Fault Localization in Ontologies. Advances and Trends in Artificial Intelligence. From Theory to Practice, Springer, 11606, Berlin, 2019, S. 360 - 375.

Markus Zanker, Laurens Rook, Dietmar Jannach: Measuring the Impact of Online Personalisation: Past, Present and Future. International Journal of Human-Computer Studies, Academic Press / Elsevier, 131, Oxford, 2019, S. 160 - 168.

George Angelos Papadopoulos, George Samaras, Stephan Weibelzahl, Dietmar Jannach, Olga C. Santos: ACM UMAP’19 Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization . ACM - New York, New York, NY, 2019,

Iman Kamehkhosh, Geoffray Bonnin, Dietmar Jannach: Effects of Recommendations on the Playlist Creation Behavior of Users. User Modeling and User-Adapted Interaction, Springer Verlag GmbH, Berlin, Heidelberg, New York, 2019, S. 1 - 38.

Dietmar Jannach, Konstantin Schekotihin, Philipp Fleiß, Patrick Rodler: Are Query-Based Ontology Debuggers Really Helping Knowledge Engineers?. Knowledge-Based Systems, Elsevier, 179, 2019, S. 92 - 107.

Pasquale Lops, Dietmar Jannach, Cataldo Musto, Toine Bogers, Marijn Koolen: User Modeling and User-Adapted Interaction (UMUAI). Springer Nature, 6, Berlin und London, 2019,

Christian Kop: 43. WI-MAW-Rundbrief (Gesellschaft für Informatik GI). Köllen Druck+Verlag GmbH, 25, Bonn, 2019,

Patrick Rodler, Michael Eichholzer: A New Expert Questioning Approach to More Efficient Fault Localization in Ontologies. http://arxiv.org/, 2019,

Pasquale Lops, Dietmar Jannach, Cataldo Musto, Toine Bogers, Marijn Koolen: Trends in content-based recommendation. User Modeling and User-Adapted Interaction, Springer Verlag GmbH, 29, Berlin, Heidelberg, New York, 2019, S. 239 - 249.

Dietmar Jannach, Iman Kamehkhosh, Geoffray Bonnin: Music Recommendations. Collaborative Recommendations: Algorithms, Practical Challenges and Applications, World Scientific Publishing, Singapore, 2019, S. 481 - 518.

Dietmar Jannach, Markus Zanker: Collaborative Filtering: Matrix Completion and Session-BasedRecommendation Tasks. Collaborative Recommendations: Algorithms, Practical Challenges and Applications, World Scientific Publishing, Singapore, 2019, S. 1 - 34.

Sören Köcher, Michael Jugovac, Dietmar Jannach, Hartmut H. Holzmüller: New Hidden Persuaders: An Investigation of Attribute-Level Anchoring Effects of Product Recommendations. Journal of Retailing, Elsevier, 2018, S. 1 - 18.

Mozhgan Karimi, Dietmar Jannach, Michael Jugovac: News Recommender Systems - Survey and Roads Ahead. Information Processing and Management, Elsevier, 54, 2018, S. 1203 - 1227.

Malte Ludewig, Iman Kamehkhosh, Nick Landia, Dietmar Jannach: Effective Nearest-Neighbor Music Recommendations. Proceedings of the ACM RecSys Challenge 2018 Workshop at ACM RecSys 2018, ACM New York, 2018, S. 1 - 6.

Malte Ludewig, Dietmar Jannach: Evaluation of session-based recommendation algorithms. User Modeling and User-Adapted Interaction, Springer Verlag GmbH, 28, Berlin, Heidelberg, New York, 2018, S. 331 - 390.

Michael Jugovac, Dietmar Jannach, Mozhgan Karimi: Streamingrec: a framework for benchmarking stream-based news recommenders. RecSys '18 Proceedings of the 12th ACM Conference on Recommender Systems , ACM New York, 2018, S. 269 - 273.

Massimo Quadrana, Paolo Cremonesi, Dietmar Jannach: Sequence-Aware Recommender Systems. ACM Computing Surveys (CSUR), 51, 2018, S. 1 - 36.

Dietmar Jannach: Keynote: Session-based Recommendation - Challenges and Recent Advances. Proceedings of the 41st German Conference on Artificial Intelligence, Springer, 11117, Berlin, 2018, S. 3 - 11.

Michael Jugovac, Ingrid Nunes, Dietmar Jannach: Investigating the Decision-Making Behavior of Maximizers and Satisficers in the Presence of Recommendations. Proceedings of the 2018 Conference on User Modeling Adaptation and Personalization (UMAP 2018), ACM New York, 2018, S. 279 - 283.

Patrick Walter Koch, Konstantin Schekotihin, Dietmar Jannach, Birgit Hofer, Franz Wotawa, Thomas Schmitz: Combining spreadsheet smells for improved fault prediction. ICSE-NIER '18 Proceedings of the 40th International Conference on Software Engineering: New Ideas and Emerging Results, ACM New York, 2018, S. 25 - 28.

Heinrich C. Mayr, Judith Michael, Volodymyr Shekhovtsov, Ranapathige Suneth Pubudu Ranasinghe, Claudia Steinberger: A Model Centered Perspective on Software-Intensive Systems. Proceedings of the 9th International Workshop on Enterprise Modeling and Information Systems Architectures (EMISA 2018) , 2018, S. 58 - 64.

Dietmar Jannach, Lukas Lerche, Markus Zanker: Recommending Based on Implicit Feedback. Social Information Access, Springer, Berlin, 2018, S. 510 - 569.

Konstantin Schekotihin, Dietmar Jannach, Thomas Schmitz: Parallel Model-Based Diagnosis. Handbook of Parallel Constraint Reasoning, Springer, Berlin, 2018, S. 547 - 580.

Iman Kamehkhosh, Dietmar Jannach, Geoffray Bonnin: How Automated Recommendations Affect the Playlist Creation Behavior of Users. Proceedings of the Workshop on Intelligent Music Interfaces for Listening and Creation at IUI 2018, 2068, 2018, S. 1 - 6.

Claudia Steinberger, Judith Michael: Towards Cognitive Assisted Living 3.0. 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), IEEE, Piscataway (NJ), 2018, S. 687 - 692.

Malte Ludewig, Dietmar Jannach: Could You Play That Song Again? – Reminding Users of Their Favorite Tracks Through Recommendations. Proceedings of the WSDM 2018 Cup Workshop, WSDM’18 Cup, Los Angeles, 2018, S. 1 - 5.

Josef Bauer, Dietmar Jannach: Optimal Pricing in E-Commerce Based on Sparse and Noisy Data. Decision Support Systems, Elsevier, 106, 2018, S. 53 - 63.

Judith Michael, Claudia Steinberger, Vladimir A. Shekhovtsov, Fadi Al Machot, Ranapathige Suneth Pubudu Ranasinghe, Gert Morak: The HBMS Story. Enterprise Modelling and Information Systems Architectures, 13, 2018, S. 345 - 370.

Patrick Koch, Konstantin Schekotihin, Dietmar Jannach, Birgit Hofer, Franz Wotawa: Combining spreadsheet smells for improved fault prediction. . Proceedings of the 40th International Conference on Software Engineering, ACM Digital Library, New York, NY, 2018, S. 25 - 28.

Judith Michael, Claudia Steinberger: Context Modeling for Active Assistance. Proceedings of the ER Forum 2017 and the ER 2017 Demo Track co-located with the 36th International Conference on Conceptual Modelling (ER 2017), CEUR Workshop Proceedings (CEUR-WS.org), Aachen, 2017, S. 221 - 234.