Dietmar Jannach
TitleCited byYear
Recommender systems: an introduction
D Jannach, M Zanker, A Felfernig, G Friedrich
Cambridge University Press, 2010
Beyond accuracy: evaluating recommender systems by coverage and serendipity
M Ge, C Delgado-Battenfeld, D Jannach
Proceedings of the fourth ACM conference on Recommender systems, 257-260, 2010
Consistency-based diagnosis of configuration knowledge bases
A Felfernig, G Friedrich, D Jannach, M Stumptner
Artificial Intelligence 152 (2), 213-234, 2004
UML as domain specific language for the construction of knowledge-based configuration systems
A Felfernig, GE Friedrich, D Jannach
International Journal of Software Engineering and Knowledge Engineering 10†…, 2000
Conceptual modeling for configuration of mass-customizable products
A Felfernig, G Friedrich, D Jannach
Artificial Intelligence in Engineering 15 (2), 165-176, 2001
An integrated environment for the development of knowledge-based recommender applications
A Felfernig, G Friedrich, D Jannach, M Zanker
International Journal of Electronic Commerce 11 (2), 11-34, 2006
Recommender systems, an introduction
D Jannach, M Zanker, A Felfernig, G Friedrich
Hardback (November 2010), 2011
A framework for the development of personalized, distributed web-based configuration systems
L Ardissono, A Felfernig, G Friedrich, A Goy, D Jannach, G Petrone, ...
Ai Magazine 24 (3), 93-93, 2003
Automated generation of music playlists: Survey and experiments
G Bonnin, D Jannach
ACM Computing Surveys (CSUR) 47 (2), 26, 2015
How should I explain? A comparison of different explanation types for recommender systems
F Gedikli, D Jannach, M Ge
International Journal of Human-Computer Studies 72 (4), 367-382, 2014
Accuracy improvements for multi-criteria recommender systems
D Jannach, Z Karakaya, F Gedikli
Proceedings of the 13th ACM conference on electronic commerce, 674-689, 2012
What recommenders recommend–an analysis of accuracy, popularity, and sales diversity effects
D Jannach, L Lerche, F Gedikli, G Bonnin
International Conference on User Modeling, Adaptation, and Personalization†…, 2013
A case study on the effectiveness of recommendations in the mobile internet
D Jannach, K Hegelich
Proceedings of the third ACM conference on Recommender systems, 205-208, 2009
A knowledge-based framework for multimedia adaptation
D Jannach, K Leopold, C Timmerer, H Hellwagner
Applied Intelligence 24 (2), 109-125, 2006
Clustering-and regression-based multi-criteria collaborative filtering with incremental updates
M Nilashi, D Jannach, O bin Ibrahim, N Ithnin
Information Sciences 293, 235-250, 2015
Configuration knowledge representations for Semantic Web applications
A Felfernig, G Friedrich, D Jannach, M Stumptner, M Zanker
Ai Edam 17 (1), 31-50, 2003
When recurrent neural networks meet the neighborhood for session-based recommendation
D Jannach, M Ludewig
Proceedings of the Eleventh ACM Conference on Recommender Systems, 306-310, 2017
Finding preferred query relaxations in content-based recommenders
D Jannach
Intelligent techniques and tools for novel system architectures, 81-97, 2008
Sequence-aware recommender systems
M Quadrana, P Cremonesi, D Jannach
ACM Computing Surveys (CSUR) 51 (4), 66, 2018
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
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Articles 1–20