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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.

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. and Lerche, L.: "Offline Performance vs. Subjective Quality Experience: A Case Study in Video Game Recommendation". In: ACM Symposium on Applied Computing (ACM SAC 2017). Marrakesh, Morocco, 2017

Keywords: Recommender Systems, Offline-Online Study

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 Zanker, M.: "Recommending based on Implicit Feedback". In: Social Information Access. Brusilovsky, P. and He, D. (Eds.), Springer, 2018

Keywords: Recommender Systems, Implicit Feedback

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

Jannach, D. and Lerche, L.: "Perspektiven in der Offline-Evaluation von Empfehlungsalgorithmen". HMD - Praxis der Wirtschaftsinformatik, Vol. 50(5). 2013, pp. 34-44

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