Lukas Lerche

Publication Activity (10 Years)

Years Active: 2013-2017
Publications (10 Years): 14

Top Topics

Music Recommendation

Recommender Systems

Individual User

Implicit Feedback

Top Venues

User Model. User Adapt. Interact.

Publications

Dietmar Jannach, Iman Kamehkhosh, Lukas Lerche
Leveraging multi-dimensional user models for personalized next-track music recommendation. SAC (2017)
Dietmar Jannach, Malte Ludewig, Lukas Lerche
Session-based item recommendation in e-commerce: on short-term intents, reminders, trends and discounts. User Model. User Adapt. Interact. 27 (3-5) (2017)
Michael Jugovac, Dietmar Jannach, Lukas Lerche
Efficient optimization of multiple recommendation quality factors according to individual user tendencies. Expert Syst. Appl. 81 (2017)
Dietmar Jannach, Lukas Lerche
Offline performance vs. subjective quality experience: a case study in video game recommendation. SAC (2017)
Dietmar Jannach, Michael Jugovac, Lukas Lerche
Supporting the Design of Machine Learning Workflows with a Recommendation System. ACM Trans. Interact. Intell. Syst. 6 (1) (2016)
Iman Kamehkhosh, Dietmar Jannach, Lukas Lerche
Personalized Next-Track Music Recommendation with Multi-dimensional Long-Term Preference Signals. UMAP (Extended Proceedings) (2016)
Lukas Lerche, Dietmar Jannach, Malte Ludewig
On the Value of Reminders within E-Commerce Recommendations. UMAP (2016)
Lukas Lerche
Implizites Feedback in Empfehlungssystemen. Ausgezeichnete Informatikdissertationen (2016)
Dietmar Jannach, Lukas Lerche, Michael Jugovac
Item Familiarity Effects in User-Centric Evaluations of Recommender Systems. RecSys Posters (2015)
Dietmar Jannach, Michael Jugovac, Lukas Lerche
Adaptive Recommendation-based Modeling Support for Data Analysis Workflows. IUI (2015)
Dietmar Jannach, Lukas Lerche, Michael Jugovac
Adaptation and Evaluation of Recommendations for Short-term Shopping Goals. RecSys (2015)
Dietmar Jannach, Lukas Lerche, Iman Kamehkhosh
Beyond "Hitting the Hits": Generating Coherent Music Playlist Continuations with the Right Tracks. RecSys (2015)
Dietmar Jannach, Lukas Lerche, Iman Kamehkhosh, Michael Jugovac
What recommenders recommend: an analysis of recommendation biases and possible countermeasures. User Model. User Adapt. Interact. 25 (5) (2015)
Dietmar Jannach, Lukas Lerche, Michael Jugovac
Item Familiarity as a Possible Confounding Factor in User-Centric Recommender Systems Evaluation. i-com 14 (1) (2015)
Lukas Lerche, Dietmar Jannach
Using graded implicit feedback for bayesian personalized ranking. RecSys (2014)
Dietmar Jannach, Lukas Lerche
Perspektiven in der Offline-Evaluation von Empfehlungsalgorithmen. HMD Prax. Wirtsch. 293 (2013)
Dietmar Jannach, Lukas Lerche, Fatih Gedikli, Geoffray Bonnin
What Recommenders Recommend - An Analysis of Accuracy, Popularity, and Sales Diversity Effects. UMAP (2013)