Publications

23. Book/Series

Many authors, including Lerche, L.: "Handbuch IT in Bibliotheken". Die wichtigsten Themen zum Einsatz von IT in Bibliotheken: IT-Management, Bibliotheksmanagementsysteme, Softwareentwicklung, Metadaten..., CC-BY 3.0 DE, 2022 ongoing

Keywords: ILS, RFID, Scientific Libraries, Public Libraries

22. Journal article in b.i.t. online

Diederichs, K., Lerche, L., Ratsch, K., Utamura O., Wuttke, U.: Neues aus der Akademie der Wissensschafe: Tierische Protagonisten erklären Open Access-Publikationsdienstleistungen wissenschaftlicher Bibliotheken in einem animierten Lernvideo. b.i.t. online, Vol. 21, Issue 6, b.i.t. Verlag, 2018, pp. 471-477

Keywords: Open Access, Scientific Libraries, Publication Services

21. Journal article in UMUAI

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

20. Journal article in ESWA

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

19. Dissertation

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

18. Long paper at SAC'17

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

17. Long paper at SAC'17

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

16. Book chapter

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

15. Book chapter

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

14. Workshop paper at IFUP/UMAP'16

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

13. Long paper at UMAP'16

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

12. Journal article in TiiS

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

11. Journal article in UMUAI

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

10. Journal article in i-Com

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

9. Poster at RecSys'15

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

8. Long paper at RecSys'15

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

7. Long paper at RecSys'15

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

6. Long paper at IUI'15

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

5. Short paper at RecSys'14

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

4. Workshop paper at ITWP/AAAI'13

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

3. Long paper at UMAP'13

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

2. Journal article in HMD

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

1. Master's thesis

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