Dietmar Jannach
Researcher Next ID · RN-038390
Researcher · Computer Science
Klagenfurt, Norway
- Works count
- 442
- Citation count
- 14,827
- H-index
- 58
- i10-index
- 182
Research interests
Publications
Fairness in recommender systems: research landscape and future directions
User Modeling and User-Adapted Interaction · 2023 · 10.1007/s11257-023-09364-z
Multistakeholder recommendation: Survey and research directions
User Modeling and User-Adapted Interaction · 2020 · 10.1007/s11257-019-09256-1
Empirical analysis of session-based recommendation algorithms
User Modeling and User-Adapted Interaction · 2020 · 10.1007/s11257-020-09277-1
Measuring the impact of online personalisation: Past, present and future
International Journal of Human-Computer Studies · 2019 · 10.1016/j.ijhcs.2019.06.006
Trends in content-based recommendation
User Modeling and User-Adapted Interaction · 2019 · 10.1007/s11257-019-09231-w
News recommender systems – Survey and roads ahead
Information Processing & Management · 2018 · 10.1016/j.ipm.2018.04.008
Sequence-Aware Recommender Systems
ACM Computing Surveys · 2018 · https://doi.org/10.1145/3190616
Evaluation of session-based recommendation algorithms
User Modeling and User-Adapted Interaction · 2018 · 10.1007/s11257-018-9209-6
Session-based item recommendation in e-commerce: on short-term intents, reminders, trends and discounts
User Modeling and User-Adapted Interaction · 2017 · 10.1007/s11257-017-9194-1
Interacting with Recommenders—Overview and Research Directions
ACM Transactions on Interactive Intelligent Systems · 2017 · 10.1145/3001837
A systematic review and taxonomy of explanations in decision support and recommender systems
User Modeling and User-Adapted Interaction · 2017 · 10.1007/s11257-017-9195-0
When Recurrent Neural Networks meet the Neighborhood for Session-Based Recommendation
Journal · 2017 · https://doi.org/10.1145/3109859.3109872
Recommendation quality, transparency, and website quality for trust-building in recommendation agents
Electronic Commerce Research and Applications · 2016 · 10.1016/j.elerap.2016.09.003
Recommender systems — beyond matrix completion
Communications of the ACM · 2016 · 10.1145/2891406
Recommendations with a Purpose
· 2016 · 10.1145/2959100.2959186
What recommenders recommend: an analysis of recommendation biases and possible countermeasures
User Modeling and User-Adapted Interaction · 2015 · 10.1007/s11257-015-9165-3
Future research issues in IT and tourism
Information Technology & Tourism · 2015 · 10.1007/s40558-014-0021-9
How should I explain? A comparison of different explanation types for recommender systems
International Journal of Human-Computer Studies · 2014 · 10.1016/j.ijhcs.2013.12.007
Automated Generation of Music Playlists: Survey and Experiments
ACM Computing Surveys · 2014 · 10.1145/2652481
Recommender Systems: An Introduction
Journal · 2010
Recommender Systems: An Introduction
Journal · 2010
Beyond accuracy
Journal · 2010 · https://doi.org/10.1145/1864708.1864761
Recommender Systems
Cambridge University Press eBooks · 2010 · https://doi.org/10.1017/cbo9780511763113
Recommender Systems
Cambridge University Press eBooks · 2010 · https://doi.org/10.1017/cbo9780511763113
An Integrated Environment for the Development of Knowledge-Based Recommender Applications
International Journal of Electronic Commerce · 2006 · 10.2753/jec1086-4415110201
Consistency-based diagnosis of configuration knowledge bases
Artificial Intelligence · 2003 · 10.1016/s0004-3702(03)00117-6
UML AS DOMAIN SPECIFIC LANGUAGE FOR THE CONSTRUCTION OF KNOWLEDGE-BASED CONFIGURATION SYSTEMS
International Journal of Software Engineering and Knowledge Engineering · 2000 · 10.1142/s0218194000000249
Current projects
No projects listed.