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Erich Teppan
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Consumer decision making in knowledge-based recommendation
M Mandl, A Felfernig, E Teppan, M Schubert
Journal of Intelligent Information Systems 37, 1-22, 2011
1132011
Industrial applications of answer set programming
A Falkner, G Friedrich, K Schekotihin, R Taupe, EC Teppan
KI-Künstliche Intelligenz 32 (2), 165-176, 2018
1042018
A short survey of recommendation technologies in travel and tourism
A Felfernig, S Gordea, D Jannach, E Teppan, M Zanker
OEGAI journal 25 (7), 17-22, 2007
1042007
Plausible repairs for inconsistent requirements
A Felfernig, G Friedrich, M Schubert, M Mandl, M Mairitsch, E Teppan
Twenty-First International Joint Conference on Artificial Intelligence, 2009
1032009
Persuasive recommendation: serial position effects in knowledge-based recommender systems
A Felfernig, G Friedrich, B Gula, M Hitz, T Kruggel, G Leitner, R Melcher, ...
Persuasive Technology: Second International Conference on Persuasive …, 2007
842007
Knowledge-based recommender technologies for marketing and sales
A Felfernig, E Teppan, B Gula
International journal of pattern recognition and artificial intelligence 21 …, 2007
822007
Persuasion in knowledge-based recommendation
A Felfernig, B Gula, G Leitner, M Maier, R Melcher, E Teppan
Persuasive Technology: Third International Conference, PERSUASIVE 2008, Oulu …, 2008
642008
Automated debugging of recommender user interface descriptions
A Felfernig, G Friedrich, K Isak, K Shchekotykhin, E Teppan, D Jannach
Applied Intelligence 31, 1-14, 2009
372009
Industrial size job shop scheduling tackled by present day CP solvers
G Da Col, EC Teppan
Principles and Practice of Constraint Programming: 25th International …, 2019
362019
Decision biases in recommender systems
EC Teppan, M Zanker
Journal of Internet Commerce 14 (2), 255-275, 2015
362015
Intelligent debugging and repair of utility constraint sets in knowledge-based recommender applications
A Felfernig, E Teppan, G Friedrich, K Isak
Proceedings of the 13th international conference on Intelligent user …, 2008
302008
Minimization of decoy effects in recommender result sets
EC Teppan, A Felfernig
Web Intelligence and Agent Systems: An International Journal 10 (4), 385-395, 2012
292012
Asymmetric dominance-and compromise effects in the financial services domain
EC Teppan, A Felfernig
2009 IEEE conference on commerce and enterprise computing, 57-64, 2009
28*2009
Utility-based repair of inconsistent requirements
A Felfernig, M Mairitsch, M Mandl, M Schubert, E Teppan
Next-Generation Applied Intelligence: 22nd International Conference on …, 2009
272009
Quickpup: A heuristic backtracking algorithm for the partner units configuration problem
E Teppan, G Friedrich, A Falkner
Proceedings of the AAAI Conference on Artificial Intelligence 26 (2), 2329-2334, 2012
262012
A dominance model for the calculation of decoy products in recommendation environments
A Felfernig, B Gula, G Leitner, M Maier, R Melcher, S Schippel, E Teppan
AISB 2008 symposium on persuasive technology, 43-50, 2008
252008
Google vs IBM: A constraint solving challenge on the job-shop scheduling problem
G Da Col, E Teppan
arXiv preprint arXiv:1909.08247, 2019
242019
Impacts of decoy elements on result set evaluations in knowledge-based recommendation
EC Teppan, A Felfernig
International Journal of Advanced Intelligence Paradigms 1 (3), 358-373, 2009
192009
Minimization of product utility estimation errors in recommender result set evaluations
EC Teppan, A Felfernig
Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web …, 2009
172009
Calculating decoy items in utility-based recommendation
EC Teppan, A Felfernig
International Conference on Industrial, Engineering and Other Applications …, 2009
172009
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