Lukas Lerche

18 papers A 6Misc 2Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2018 — ch.
Recommending Based on Implicit Feedback.
Social Information Access
Dietmar Jannach, Lukas Lerche, Markus Zanker
2017 J jnl
Efficient optimization of multiple recommendation quality factors according to individual user tendencies.
Expert Syst. Appl.
Michael Jugovac, Dietmar Jannach, Lukas Lerche
2017 Misc conf
Leveraging multi-dimensional user models for personalized next-track music recommendation.
SAC
Dietmar Jannach, Iman Kamehkhosh, Lukas Lerche
2017 Misc conf
Offline performance vs. subjective quality experience: a case study in video game recommendation.
SAC
Dietmar Jannach, Lukas Lerche
2017 J jnl
Session-based item recommendation in e-commerce: on short-term intents, reminders, trends and discounts.
User Model. User Adapt. Interact.
Dietmar Jannach, Malte Ludewig, Lukas Lerche
2016 — ch.
Implizites Feedback in Empfehlungssystemen.
Ausgezeichnete Informatikdissertationen
Lukas Lerche
2016 A conf
On the Value of Reminders within E-Commerce Recommendations.
UMAP
Lukas Lerche, Dietmar Jannach, Malte Ludewig
2016 — conf
Personalized Next-Track Music Recommendation with Multi-dimensional Long-Term Preference Signals.
UMAP (Extended Proceedings)
Iman Kamehkhosh, Dietmar Jannach, Lukas Lerche
2016 J jnl
Supporting the Design of Machine Learning Workflows with a Recommendation System.
ACM Trans. Interact. Intell. Syst.
Dietmar Jannach, Michael Jugovac, Lukas Lerche
2015 A conf
Adaptation and Evaluation of Recommendations for Short-term Shopping Goals.
RecSys
Dietmar Jannach, Lukas Lerche, Michael Jugovac
2015 A conf
Adaptive Recommendation-based Modeling Support for Data Analysis Workflows.
IUI
Dietmar Jannach, Michael Jugovac, Lukas Lerche
2015 A conf
Beyond "Hitting the Hits": Generating Coherent Music Playlist Continuations with the Right Tracks.
RecSys
Dietmar Jannach, Lukas Lerche, Iman Kamehkhosh
2015 — conf
Item Familiarity Effects in User-Centric Evaluations of Recommender Systems.
RecSys Posters
Dietmar Jannach, Lukas Lerche, Michael Jugovac
2015 J jnl
Item Familiarity as a Possible Confounding Factor in User-Centric Recommender Systems Evaluation.
i-com
Dietmar Jannach, Lukas Lerche, Michael Jugovac
2015 J jnl
What recommenders recommend: an analysis of recommendation biases and possible countermeasures.
User Model. User Adapt. Interact.
Dietmar Jannach, Lukas Lerche, Iman Kamehkhosh, Michael Jugovac
2014 A conf
Using graded implicit feedback for bayesian personalized ranking.
RecSys
Lukas Lerche, Dietmar Jannach
2013 J jnl
Perspektiven in der Offline-Evaluation von Empfehlungsalgorithmen.
HMD Prax. Wirtsch.
Dietmar Jannach, Lukas Lerche
2013 A conf
What Recommenders Recommend - An Analysis of Accuracy, Popularity, and Sales Diversity Effects.
UMAP
Dietmar Jannach, Lukas Lerche, Fatih Gedikli, Geoffray Bonnin