Persuasive Recommendation: Serial Position Effects in Knowledge-Based Recommender Systems. - Alexander Felfernig; Gerhard Friedrich; Bartosz Gula; Martin Hitz; Thomas Kruggel; Gerhard Leitner; Rudolf Melcher; D. Riepan; S. Strauss; Erich Teppan; Oliver Vitouch (PERSUASIVE, 2007)

Knowledge-Based Recommender Technologies for Marketing and Sales. - Alexander Felfernig; Erich Teppan; Bartosz Gula (Int. J. Pattern Recognit. Artif. Intell., 2007)

Knowledge representations for the interactive selling of financial services. - Alexander Felfernig; Klaus Isak; Gerold Kreutler; Thomas Kruggel; Erich Teppan (Inf. Syst. E Bus. Manag., 2007)

Intelligent debugging and repair of utility constraint sets in knowledge-based recommender applications. - Alexander Felfernig; Erich Teppan; Gerhard Friedrich; Klaus Isak (IUI, 2008)

Persuasion in Knowledge-Based Recommendation. - Alexander Felfernig; Bartosz Gula; Gerhard Leitner; Marco Maier; Rudolf Melcher; Erich Teppan (PERSUASIVE, 2008)

Implications of psychological phenomenons for recommender systems. - Erich Christian Teppan (RecSys, 2008)

User Acceptance of Knowledge-based Recommenders. - Alexander Felfernig; Erich Teppan; Bartosz Gula (Personalization Techniques and Recommender Systems, 2008)

Utility-Based Repair of Inconsistent Requirements. - Alexander Felfernig; Markus Mairitsch; Monika Mandl; Monika Schubert; Erich Teppan (IEA/AIE, 2009)

Calculating Decoy Items in Utility-Based Recommendation. - Erich Christian Teppan; Alexander Felfernig (IEA/AIE, 2009)

Plausible Repairs for Inconsistent Requirements. - Alexander Felfernig; Gerhard Friedrich; Monika Schubert; Monika Mandl; Markus Mairitsch; Erich Teppan (IJCAI, 2009)

Minimization of Product Utility Estimation Errors in Recommender Result Set Evaluations. - Erich Christian Teppan; Alexander Felfernig (Web Intelligence, 2009)

Asymmetric Dominance- and Compromise Effects in the Financial Services Domain. - Erich Christian Teppan; Alexander Felfernig (CEC, 2009)

Der Asymmetrische Dominanzeffekt und seine Bedeutung für E-Tourismus-Plattformen. - Erich Christian Teppan; Alexander Felfernig (Wirtschaftsinformatik (2), 2009)

Automated debugging of recommender user interface descriptions. - Alexander Felfernig; Gerhard Friedrich; Klaus Isak; Kostyantyn M. Shchekotykhin; Erich Teppan; Dietmar Jannach (Appl. Intell., 2009)

Impacts of decoy elements on result set evaluations in knowledge-based recommendation. - Erich Christian Teppan; Alexander Felfernig (Int. J. Adv. Intell. Paradigms, 2009)

Efficient Explanations for Inconsistent Constraint Sets. - Alexander Felfernig; Monika Schubert; Monika Mandl; Gerhard Friedrich; Erich Teppan (ECAI, 2010)

Adaptive Utility-Based Recommendation. - Alexander Felfernig; Monika Mandl; Stefan Schippel; Monika Schubert; Erich Teppan (IEA/AIE (1), 2010)

Impacts of Decoy Effects on the Decision Making Ability. - Erich Christian Teppan; Gerhard Friedrich; Alexander Felfernig (CEC, 2010)

Consumer decision making in knowledge-based recommendation. - Monika Mandl; Alexander Felfernig; Erich Teppan; Monika Schubert (J. Intell. Inf. Syst., 2011)

QuickPup: A Heuristic Backtracking Algorithm for the Partner Units Configuration Problem. - Erich Christian Teppan; Gerhard Friedrich; Andreas A. Falkner (IAAI, 2012)

Re-configuring Legacy Instances of the Partner Units Problem. - Erich Christian Teppan (ICTAI, 2012)

Minimization of decoy effects in recommender result sets. - Erich Christian Teppan; Alexander Felfernig (Web Intell. Agent Syst., 2012)

Declarative Heuristics in Constraint Satisfaction. - Erich Christian Teppan; Gerhard Friedrich (ICTAI, 2013)

The Partner Units Configuration Problem. - Erich Christian Teppan; Gerhard Friedrich (CoRR, 2013)

Representing Production Scheduling with Constraint Answer Set Programming. - Gerhard Friedrich; Melanie Frühstück; Vera Mersheeva; Anna Ryabokon; Maria Sander; Andreas Starzacher; Erich Teppan (OR, 2014)

Heuristic Constraint Answer Set Programming. - Erich Christian Teppan; Gerhard Friedrich (ECAI, 2016)

Declarative Decomposition and Dispatching for Large-Scale Job-Shop Scheduling. - Giacomo Da Col; Erich Christian Teppan (KI, 2016)

Influence of ASP Language Constructs on the Performance of State-of-the-Art Solvers. - Richard Taupe; Erich Teppan (KI, 2016)

Tractability frontiers of the partner units configuration problem. - Erich Christian Teppan; Gerhard Friedrich; Georg Gottlob (J. Comput. Syst. Sci., 2016)

On the complexity of the partner units decision problem. - Erich Christian Teppan (Artif. Intell., 2017)

Automatic Generation of Dispatching Rules for Large Job Shops by Means of Genetic Algorithms. - Erich Teppan; Giacomo Da Col (CIMA@ICTAI, 2018)

Dispatching Rules Revisited-A Large Scale Job Shop Scheduling Experiment. - Erich Christian Teppan (SSCI, 2018)

Industrial Applications of Answer Set Programming. - Andreas A. Falkner; Gerhard Friedrich; Konstantin Schekotihin; Richard Taupe; Erich Christian Teppan (Künstliche Intell., 2018)

Industrial Size Job Shop Scheduling Tackled by Present Day CP Solvers. - Giacomo Da Col; Erich Christian Teppan (CP, 2019)

Google vs IBM: A Constraint Solving Challenge on the Job-Shop Scheduling Problem. - Giacomo Da Col; Erich Teppan (ICLP Technical Communications, 2019)

Exploiting Answer Set Programming for Building explainable Recommendations. - Erich Teppan; Markus Zanker (ISMIS, 2020)

The Scheduling Job-Set Optimization Problem: A Model-Based Diagnosis Approach. - Patrick Rodler; Erich Teppan (CoRR, 2020)

Randomized Problem-Relaxation Solving for Over-Constrained Schedules. - Patrick Rodler; Erich Teppan; Dietmar Jannach (KR, 2021)

Large-Scale Benchmarks for the Job Shop Scheduling Problem. - Giacomo Da Col; Erich Teppan (CoRR, 2021)

Symbolic Artificial Intelligence Methods for Prescriptive Analytics. - Gerhard Friedrich; Martin Gebser; Erich Christian Teppan (Digital Transformation, 2022)

Sensor-Based Moisture Prediction for Flat Roofs. - Giacomo Da Col; Eva Eggeling; Marco A. Hudelist; Christoph Schinko; Christof Surtmann; Erich Teppan (PAIS@ECAI, 2022)

Types of Flexible Job Shop Scheduling: A Constraint Programming Experiment. - Erich Christian Teppan (ICAART (3), 2022)

Pursuing the Optimal CP Model: A Batch Scheduling Case Study. - Giacomo Da Col; Erich Teppan (IntelliSys (1), 2023)

Summary of "Randomized Problem-Relaxation Solving for Over-Constrained Schedules" (Extended Abstract). - Patrick Rodler; Erich Teppan; Dietmar Jannach (DX, 2024)