/home/lerche/~
home page of Lukas Lerche

Here you can find my publications and software that I wrote.
Code
Recommender101 is a lightweight and easy-to-use framework written in Java to carry out offline experiments for Recommender Systems (RS). It provides the user with various metrics and common evaluation strategies as well as some example recommenders and a dataset. The framework is easily extensible and allows the user to implement own recommenders and metrics.
Publications
Jannach, D., Ludewig, M. and Lerche, L.: "Session-based Item Recommendation in E-Commerce: On Short-Term Intents, Reminders, Trends, and Discounts". User-Modeling and User-Adapted Interaction, Vol. 27(3-5). Springer, 2017, pp. 351-392
Keywords: Recommender Systems, E-Commerce, Session-based Recommendation
Jugovac, M., Jannach, D. and Lerche, L.: "Efficient Optimization of Multiple Recommendation Quality Factors According to Individual User Tendencies". Expert Systems With Applications, Vol. 81. Elsevier BV, 2017, pp. 321-331
Keywords: Recommender Systems, Quality Optimization, Trade-Offs
Lerche, L.: Using Implicit Feedback for Recommender Systems: Characteristics, Applications, and Challenges, Dissertation, e-Services Research Group - Lehrstuhl Informatik XIII, TU Dortmund, 2016.
Keywords: Recommender Systems, Implicit Feedback, Short-term Recommendations, Reminding, Recommedation Biases, E-Commerce
Jannach, D., Kamehkhosh, I. and Lerche, L.: "Leveraging Multi-Dimensional User Models for Personalized Next-Track Music Recommendation". In: ACM Symposium on Applied Computing (ACM SAC 2017). Marrakesh, Morocco, 2017
Keywords: Recommender Systems, Music Recommendation
Jannach, D., Lerche, L. and Bonnin, G.: "Empfehlungssysteme, automatische Erzeugung von Wiedergabelisten und Musikdatenbanken". In: Handbuch Funktionale Musik: Psychologie - Technik - Anwendungsgebiete. Rötter, G. (Ed.), Springer, 2017, pp. 1-37
Keywords: Music, Recommender Systems
Kamehkhosh, I., Jannach, D. and Lerche, L.: "Personalized Next-Track Music Recommendation with Multi-dimensional Long-Term Preference Signals". In: Proceedings of the Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization (IFUP 2016 at UMAP 2016). Halifax, Canada, 2016
Keywords: Music Recommendation, Long-term Preferences
Lerche, L., Jannach, D. and Ludewig, M.: "On the Value of Reminders within E-Commerce Recommendations". In: Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, (UMAP 2016). Halifax, Canada, 2016. (Best Student Paper Award)
Keywords: Recommender Systems, E-Commerce, Reminding
Jannach, D., Jugovac, M. and Lerche, L.: "Supporting the Design of Machine Learning Workflows with a Recommendation System". ACM Transactions on Interactive Intelligent Systems, Vol. 6(1). Association for Computing Machinery (ACM), 2016
Keywords: Recommender Systems, Machine Learning Workflow, RapidMiner
Jannach, D., Lerche, L., Kamehkhosh, I. and Jugovac, M.: "What recommenders recommend: an analysis of recommendation biases and possible countermeasures". User Modeling and User-Adapted Interaction, Vol. 25(5). Springer Nature, 2015, pp. 427-491. (2015 James Chen Award for best UMUAI paper)
Keywords: Recommender Systems, Bias, Evaluation Methodology
Jannach, D., Lerche, L. and Jugovac, M.: "Item Familiarity as a Possible Confounding Factor in User-Centric Recommender Systems Evaluation". i-com Journal of Interactive Media, Vol. 14(1). Walter de Gruyter GmbH, 2015, pp. 29-39
Keywords: Recommender Systems, User Study, Evaluation Methodology
Jannach, D., Lerche, L. and Jugovac, M.: "Item Familiarity as a Possible Confounding Factor in User-Centric Recommender Systems Evaluation". In: Poster Proceedings of the 9th ACM Conference on Recommender Systems (RecSys 2015 Posters). Vienna, Austria, 2015
Keywords: Recommender Systems, Evaluation, User Study
Jannach, D., Lerche, L. and Jugovac, M.: "Adaptation and Evaluation of Recommendations for Short-term Shopping Goals". In: Proceedings of the 9th ACM Conference on Recommender Systems (RecSys 2015). Vienna, Austria, 2015, pp. 211-218
Keywords: Recommender Systems, Evaluation, Real-world Data, Contextualization
Jannach, D., Lerche, L. and Kamehkhosh, I.: "Beyond "Hitting the Hits" - Generating Coherent Music Playlist Continuations with the Right Tracks". In: Proceedings of the 9th ACM Conference on Recommender Systems (RecSys 2015). Vienna, Austria, 2015, pp. 187-194
Keywords: Recommender Systems, Music Playlist Generation, Evaluation
Jannach, D., Jugovac, M. and Lerche, L.: "Adaptive Recommendation-based Modeling Support for Data Analysis Workflows". In: Proceedings of the 20th International Conference on Intelligent User Interfaces (IUI 2015). Atlanta, Georgia, USA, 2015, pp. 252-262
Keywords: Recommendation, Process Modeling, RapidMiner
Lerche, L. and Jannach, D.: "Using graded implicit feedback for bayesian personalized ranking". In: Proceedings of the 8th ACM Conference on Recommender Systems (RecSys 2014). Foster City, California, USA, 2014, pp. 353-356
Keywords: Recommender Systems, Implicit feedback, Ranking
Jannach, D., Lerche, L. and Gdaniec, M.: "Re-ranking recommendations based on predicted short-term interests - A protocol and first experiment". In: Proceedings of the Workshop on Intelligent Techniques for Web Personalization and Recommender Systems (ITWP 2013 at AAAI 2013). Bellevue, Washington, USA, 2013
Keywords: Recommender Systems, Context, E-Commerce
Jannach, D., Lerche, L., Gedikli, F. and Bonnin, G.: "What Recommenders Recommend - An Analysis of Accuracy, Popularity, and Sales Diversity Effects". In: 21st Conference on User Modeling, Adaptation and Personalization (UMAP 2013). Rome, Italy, 2013, pp. 25-37
Keywords: Recommender Systems, Evaluation
Lerche, L.: Entwurf und Umsetzung von hybriden Empfehlungssystemen, Master's Thesis, e-Services Research Group - Lehrstuhl Informatik XIII, TU Dortmund, 2012.
Keywords: Recommender Systems, Evaluation
Contact
location_on Vogelpothsweg 76
location_city 44227 Dortmund
landscape Germany
email lukas.lerche@tu-dortmund.de
phone +49 231 / 755 - 4033
Imprint
location_on Vogelpothsweg 76
location_city 44227 Dortmund
landscape Germany
email lukas.lerche@tu-dortmund.de
phone +49 231 / 755 - 4033