Dietmar Jannach
Title
Cited by
Cited by
Year
Recommender systems: an introduction
D Jannach, M Zanker, A Felfernig, G Friedrich
Cambridge University Press, 2010
16292010
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. ACM 257, 0
559*
Consistency-based diagnosis of configuration knowledge bases
A Felfernig, G Friedrich, D Jannach, M Stumptner
Artificial Intelligence 152 (2), 213-234, 2004
2342004
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
2222000
Conceptual modeling for configuration of mass-customizable products
A Felfernig, G Friedrich, D Jannach
Artificial Intelligence in Engineering 15 (2), 165-176, 2001
2102001
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
2012006
Sequence-aware recommender systems
M Quadrana, P Cremonesi, D Jannach
ACM Computing Surveys (CSUR) 51 (4), 1-36, 2018
1882018
Automated generation of music playlists: Survey and experiments
G Bonnin, D Jannach
ACM Computing Surveys (CSUR) 47 (2), 1-35, 2014
1832014
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
1732017
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
1722014
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
1492003
Are we really making much progress? A worrying analysis of recent neural recommendation approaches
MF Dacrema, P Cremonesi, D Jannach
Proceedings of the 13th ACM Conference on Recommender Systems, 101-109, 2019
1422019
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
1272012
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
1172013
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
1082015
Recommender systems - beyond matrix completion
D Jannach, P Resnick, A Tuzhilin, M Zanker
Communications of the ACM 59 (11), 94-102, 2016
1072016
Future research issues in IT and tourism
H Werthner, A Alzua-Sorzabal, L Cantoni, A Dickinger, U Gretzel, ...
Information Technology & Tourism 15 (1), 1-15, 2015
1072015
A systematic review and taxonomy of explanations in decision support and recommender systems
I Nunes, D Jannach
User Modeling and User-Adapted Interaction 27 (3-5), 393-444, 2017
1052017
Evaluation of session-based recommendation algorithms
M Ludewig, D Jannach
User Modeling and User-Adapted Interaction 28 (4-5), 331-390, 2018
1042018
What recommenders recommend: an analysis of recommendation biases and possible countermeasures
D Jannach, L Lerche, I Kamehkhosh, M Jugovac
User Modeling and User-Adapted Interaction 25 (5), 427-491, 2015
1012015
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