Interacting with Recommender Systems Dietmar Jannach Department of Computer Science TU Dortmund, Germany dietmar.jannach@tu-dortmund.de ABSTRACT BIO Even though one of the roots of recommender systems lies in the Dietmar Jannach is a full pro- field of human computer interaction, most of today’s academic re- fessor of Computer Science at search focuses on algorithmic aspects of such systems, for example, TU Dortmund, Germany, where on predicting the relevance of items for individual users. At the he heads the e-service research same time, also in many practical applications only limited means group of the department. His re- are provided for users to interact with the recommendation system, search focus is on applying ar- e.g., to provide feedback on the system-generated suggestions. tificial intelligence technology The chosen user interface of a recommender can however have to practical application with a a significant impact on its effectiveness and success in practice. special focus on recommender Research on how to build more interactive, intelligent user inter- systems. In 2003, he co-founded faces for recommenders, while not sparse, is somewhat scattered a technology startup company across different research subfields. Based on a recent survey work that focused on adaptive interac- [2], this talk1 aims to provide an overview of existing works on tive selling solutions. Dietmar Jannach is the author of numerous user interaction aspects of recommender systems. The talk covers scientific publications in different fields of AI and one of the authors both aspects of how user preferences can be acquired and how of the textbook “Recommender Systems - An Introduction”. recommendation results can be presented and explained to users, with the goal of increasing the acceptance and effectiveness of such systems. Furthermore, various examples of real-world systems that implement advanced interaction mechanisms are discussed in the talk. ACM Reference format: Dietmar Jannach. 2017. Interacting with Recommender Systems. Joint Work- shop on Interfaces and Human Decision Making for Recommender Systems, Como, Italy, August 27, 2017, 1 pages. REFERENCES [1] Dietmar Jannach, Ingrid Nunes, and Michael Jugovac. 2017. Interacting with Rec- ommender Systems (Extended Abstract). In Proceedings of the 22nd International Conference on Intelligent User Interfaces (IUI 2017 Companion Volume). Limassol, Cyprus, 25–27. DOI:https://doi.org/10.1145/3030024.3030027 [2] Michael Jugovac and Dietmar Jannach. forthcoming. Interacting with Recom- menders - Overview and Research Directions. ACM Transactions on Intelligent Interactive Systems (ACM TiiS) (forthcoming). 1 The presentation is based on a tutorial on the topic presented at ACM IUI ’17 [1] Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, Como, Italy 2017. Copyright for the individual papers remains with the authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.