Lukas Lerche
Lukas Lerche
Univserity Library, TU Dortmund
Verified email at - Homepage
Cited by
Cited by
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, 427-491, 2015
What recommenders recommend–an analysis of accuracy, popularity, and sales diversity effects
D Jannach, L Lerche, F Gedikli, G Bonnin
User Modeling, Adaptation, and Personalization: 21th Internationalá…, 2013
Session-based item recommendation in e-commerce: on short-term intents, reminders, trends and discounts
D Jannach, M Ludewig, L Lerche
User Modeling and User-Adapted Interaction 27, 351-392, 2017
Adaptation and evaluation of recommendations for short-term shopping goals
D Jannach, L Lerche, M Jugovac
Proceedings of the 9th ACM Conference on Recommender Systems, 211-218, 2015
Recommending based on implicit feedback
D Jannach, L Lerche, M Zanker
Social information access: systems and technologies, 510-569, 2018
Using graded implicit feedback for bayesian personalized ranking
L Lerche, D Jannach
Proceedings of the 8th ACM Conference on Recommender systems, 353-356, 2014
Efficient optimization of multiple recommendation quality factors according to individual user tendencies
M Jugovac, D Jannach, L Lerche
Expert Systems with Applications 81, 321-331, 2017
Beyond" hitting the hits" Generating coherent music playlist continuations with the right tracks
D Jannach, L Lerche, I Kamehkhosh
Proceedings of the 9th ACM Conference on Recommender Systems, 187-194, 2015
On the value of reminders within e-commerce recommendations
L Lerche, D Jannach, M Ludewig
Proceedings of the 2016 Conference on User Modeling Adaptation andá…, 2016
Leveraging multi-dimensional user models for personalized next-track music recommendation
D Jannach, I Kamehkhosh, L Lerche
Proceedings of the symposium on applied computing, 1635-1642, 2017
Supporting the design of machine learning workflows with a recommendation system
D Jannach, M Jugovac, L Lerche
ACM Transactions on Interactive Intelligent Systems (TiiS) 6 (1), 1-35, 2016
Item familiarity as a possible confounding factor in user-centric recommender systems evaluation
D Jannach, L Lerche, M Jugovac
i-com 14 (1), 29-39, 2015
Personalized Next-Track Music Recommendation with Multi-dimensional Long-Term Preference Signals.
I Kamehkhosh, D Jannach, L Lerche
UMAP (Extended Proceedings), 2016
Using implicit feedback for recommender systems: characteristics, applications, and challenges
L Lerche
Adaptive recommendation-based modeling support for data analysis workflows
D Jannach, M Jugovac, L Lerche
Proceedings of the 20th International Conference on Intelligent Userá…, 2015
Item Familiarity Effects in User-Centric Evaluations of Recommender Systems.
D Jannach, L Lerche, M Jugovac
RecSys Posters, 2015
Re-ranking recommendations based on predicted short-term interests-a protocol and first experiment
D Jannach, L Lerche, M Gdaniec
Workshops at the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013
Offline performance vs. subjective quality experience: a case study in video game recommendation
D Jannach, L Lerche
Proceedings of the Symposium on Applied Computing, 1649-1654, 2017
Empfehlungssysteme, automatische Erzeugung von Wiedergabelisten und Musikdatenbanken
D Jannach, L Lerche, G Bonnin
Handbuch Funktionale Musik: Psychologie–Technik–Anwendungsgebiete, 121-157, 2017
Perspektiven in der Offline-Evaluation von Empfehlungsalgorithmen
D Jannach, L Lerche
HMD Praxis der Wirtschaftsinformatik 50, 34-44, 2013
The system can't perform the operation now. Try again later.
Articles 1–20