What Recommenders Recommend - An Analysis of Accuracy, Popularity, and Sales Diversity Effects. - Dietmar Jannach; Lukas Lerche; Fatih Gedikli; Geoffray Bonnin (UMAP, 2013)

Perspektiven in der Offline-Evaluation von Empfehlungsalgorithmen. - Dietmar Jannach; Lukas Lerche (HMD Prax. Wirtsch., 2013)

Using graded implicit feedback for bayesian personalized ranking. - Lukas Lerche; Dietmar Jannach (RecSys, 2014)

Adaptive Recommendation-based Modeling Support for Data Analysis Workflows. - Dietmar Jannach; Michael Jugovac; Lukas Lerche (IUI, 2015)

Adaptation and Evaluation of Recommendations for Short-term Shopping Goals. - Dietmar Jannach; Lukas Lerche; Michael Jugovac (RecSys, 2015)

Item Familiarity Effects in User-Centric Evaluations of Recommender Systems. - Dietmar Jannach; Lukas Lerche; Michael Jugovac (RecSys Posters, 2015)

Beyond "Hitting the Hits": Generating Coherent Music Playlist Continuations with the Right Tracks. - Dietmar Jannach; Lukas Lerche; Iman Kamehkhosh (RecSys, 2015)

Item Familiarity as a Possible Confounding Factor in User-Centric Recommender Systems Evaluation. - Dietmar Jannach; Lukas Lerche; Michael Jugovac (i-com, 2015)

What recommenders recommend: an analysis of recommendation biases and possible countermeasures. - Dietmar Jannach; Lukas Lerche; Iman Kamehkhosh; Michael Jugovac (User Model. User Adapt. Interact., 2015)

Implizites Feedback in Empfehlungssystemen. - Lukas Lerche (Ausgezeichnete Informatikdissertationen, 2016)

Personalized Next-Track Music Recommendation with Multi-dimensional Long-Term Preference Signals. - Iman Kamehkhosh; Dietmar Jannach; Lukas Lerche (UMAP (Extended Proceedings), 2016)

On the Value of Reminders within E-Commerce Recommendations. - Lukas Lerche; Dietmar Jannach; Malte Ludewig (UMAP, 2016)

Supporting the Design of Machine Learning Workflows with a Recommendation System. - Dietmar Jannach; Michael Jugovac; Lukas Lerche (ACM Trans. Interact. Intell. Syst., 2016)

Leveraging multi-dimensional user models for personalized next-track music recommendation. - Dietmar Jannach; Iman Kamehkhosh; Lukas Lerche (SAC, 2017)

Offline performance vs. subjective quality experience: a case study in video game recommendation. - Dietmar Jannach; Lukas Lerche (SAC, 2017)

Efficient optimization of multiple recommendation quality factors according to individual user tendencies. - Michael Jugovac; Dietmar Jannach; Lukas Lerche (Expert Syst. Appl., 2017)

Session-based item recommendation in e-commerce: on short-term intents, reminders, trends and discounts. - Dietmar Jannach; Malte Ludewig; Lukas Lerche (User Model. User Adapt. Interact., 2017)

Recommending Based on Implicit Feedback. - Dietmar Jannach; Lukas Lerche; Markus Zanker (Social Information Access, 2018)