Lukas Lerche

According to our database, Lukas Lerche authored at least 18 papers between 2013 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

Recommending Based on Implicit Feedback.

Dietmar Jannach, Lukas Lerche, Markus Zanker

Proceedings of the Social Information Access - Systems and Technologies, 2018

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

Efficient optimization of multiple recommendation quality factors according to individual user tendencies.

Michael Jugovac, Dietmar Jannach, Lukas Lerche

Expert Syst. Appl., 2017

Offline performance vs. subjective quality experience: a case study in video game recommendation.

Dietmar Jannach, Lukas Lerche

Proceedings of the Symposium on Applied Computing, 2017

Leveraging multi-dimensional user models for personalized next-track music recommendation.

Dietmar Jannach, Iman Kamehkhosh, Lukas Lerche

Proceedings of the Symposium on Applied Computing, 2017

2016

Supporting the Design of Machine Learning Workflows with a Recommendation System.

Dietmar Jannach, Michael Jugovac, Lukas Lerche

ACM Trans. Interact. Intell. Syst., 2016

On the Value of Reminders within E-Commerce Recommendations.

Lukas Lerche, Dietmar Jannach, Malte Ludewig

Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

Personalized Next-Track Music Recommendation with Multi-dimensional Long-Term Preference Signals.

Iman Kamehkhosh, Dietmar Jannach, Lukas Lerche

Proceedings of the Late-breaking Results, 2016

Implizites Feedback in Empfehlungssystemen.

Lukas Lerche

Proceedings of the Ausgezeichnete Informatikdissertationen 2016, 2016

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

Item Familiarity as a Possible Confounding Factor in User-Centric Recommender Systems Evaluation.

Dietmar Jannach, Lukas Lerche, Michael Jugovac

i-com, 2015

Beyond "Hitting the Hits": Generating Coherent Music Playlist Continuations with the Right Tracks.

Dietmar Jannach, Lukas Lerche, Iman Kamehkhosh

Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Item Familiarity Effects in User-Centric Evaluations of Recommender Systems.

Dietmar Jannach, Lukas Lerche, Michael Jugovac

Proceedings of the Poster Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Adaptation and Evaluation of Recommendations for Short-term Shopping Goals.

Dietmar Jannach, Lukas Lerche, Michael Jugovac

Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Adaptive Recommendation-based Modeling Support for Data Analysis Workflows.

Dietmar Jannach, Michael Jugovac, Lukas Lerche

Proceedings of the 20th International Conference on Intelligent User Interfaces, 2015

2014

Using graded implicit feedback for bayesian personalized ranking.

Lukas Lerche, Dietmar Jannach

Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

2013

Perspektiven in der Offline-Evaluation von Empfehlungsalgorithmen.

Dietmar Jannach, Lukas Lerche

HMD Prax. Wirtsch., 2013

What Recommenders Recommend - An Analysis of Accuracy, Popularity, and Sales Diversity Effects.

Dietmar Jannach, Lukas Lerche, Fatih Gedikli, Geoffray Bonnin

Proceedings of the User Modeling, Adaptation, and Personalization, 2013