Benedikt Loepp

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 33

Top Topics

Recommender Systems

Top Venues

MuC (Workshopband)

Mensch & Computer Workshopband

Mensch & Computer

Publications

Benedikt Loepp
Multi-list interfaces for recommender systems: survey and future directions. Frontiers Big Data 6 (2024)
Benedikt Loepp, Jürgen Ziegler
Exploring the Potential of Generative AI for Augmenting Choice-Based Preference Elicitation in Recommender Systems. UMAP (Adjunct Publication) (2024)
Benedikt Loepp, Jürgen Ziegler
How Users Ride the Carousel: Exploring the Design of Multi-List Recommender Interfaces From a User Perspective. RecSys (2023)
Daniel Buschek, Julian Frommel, Hanna Hauptmann, Hendrik Heuer, Benedikt Loepp
UCAI 2023: Workshop on User-Centered Artificial Intelligence. MuC (Workshopband) (2023)
Timm Kleemann, Benedikt Loepp, Jürgen Ziegler
Towards Multi-Method Support for Product Search and Recommending. UMAP (Adjunct Publication) (2022)
Benedikt Loepp
Recommender Systems Alone Are Not Everything: Towards a Broader Perspective in the Evaluation of Recommender Systems. Perspectives@RecSys (2022)
Daniel Buschek, Hanna Hauptmann, Hendrik Heuer, Benedikt Loepp, Andreas Riener, Enes Yigitbas
UCAI 2022: Workshop on User-Centered Artificial Intelligence. MuC (Workshopband) (2022)
Daniel Buschek, Benedikt Loepp, Hanna Hauptmann, Wolfgang Wörndl
UCAI 2021:Workshop on User-Centered Artificial Intelligence. MuC (Workshopband) (2021)
Daniel Buschek, Benedikt Loepp, Jürgen Ziegler
Editorial. i-com 19 (3) (2021)
Benedikt Loepp
On the Convergence of Intelligent Decision Aids. MuC (Workshopband) (2021)
Timm Kleemann, Magdalena Wagner, Benedikt Loepp, Jürgen Ziegler
Modeling User Interaction at the Convergence of Filtering Mechanisms, Recommender Algorithms and Advisory Components. Mensch und Computer (2021)
Sidra Naveed, Benedikt Loepp, Jürgen Ziegler
On the Use of Feature-based Collaborative Explanations: An Empirical Comparison of Explanation Styles. UMAP (Adjunct Publication) (2020)
Mirjam Augstein, Daniel Buschek, Eelco Herder, Benedikt Loepp, Enes Yigitbas, Jürgen Ziegler
UCAI 2020: Workshop on User-Centered Artificial Intelligence. Mensch & Computer Workshopband (2020)
Benedikt Loepp, Jürgen Ziegler
Measuring the Impact of Recommender Systems - A Position Paper on Item Consumption in User Studies. ImpactRS@RecSys (2019)
Johannes Kunkel, Benedikt Loepp, Esther Dolff, Jürgen Ziegler
LittleMissFits: Ein Game-With-A-Purpose zur Evaluierung subjektiver Verständlichkeit von latenten Faktoren in Empfehlungssystemen. Mensch & Computer Workshopband (2019)
Benedikt Loepp, Tim Donkers, Timm Kleemann, Jürgen Ziegler
). Int. J. Hum. Comput. Stud. 121 (2019)
Benedikt Loepp, Tim Donkers, Timm Kleemann, Jürgen Ziegler
Impact of Consuming Suggested Items on the Assessment of Recommendations in User Studies on Recommender Systems. IJCAI (2019)
Benedikt Loepp, Jürgen Ziegler
Towards interactive recommending in model-based collaborative filtering systems. RecSys (2019)
Johannes Kunkel, Benedikt Loepp, Jürgen Ziegler
Understanding Latent Factors Using a GWAP. CoRR (2018)
Benedikt Loepp, Tim Donkers, Timm Kleemann, Jürgen Ziegler
Impact of item consumption on assessment of recommendations in user studies. RecSys (2018)
Tim Donkers, Benedikt Loepp, Jürgen Ziegler
Explaining Recommendations by Means of User Reviews. IUI Workshops (2018)
Johannes Kunkel, Benedikt Loepp, Jürgen Ziegler
Ein Online-Spiel zur Benennung latenter Faktoren in Empfehlungssystemen. Mensch & Computer (2018)
Tim Donkers, Benedikt Loepp, Jürgen Ziegler
Sequential User-based Recurrent Neural Network Recommendations. RecSys (2017)
Kai Biefang, Johannes Kunkel, Benedikt Loepp, Jürgen Ziegler
Eine Sandbox zur physisch-virtuellen Exploration von Ausgrabungsstätten. Mensch & Computer Workshopband (2017)
Johannes Kunkel, Benedikt Loepp, Jürgen Ziegler
A 3D Item Space Visualization for Presenting and Manipulating User Preferences in Collaborative Filtering. IUI (2017)
Jan Feuerbach, Benedikt Loepp, Catalin-Mihai Barbu, Jürgen Ziegler
Enhancing an Interactive Recommendation System with Review-based Information Filtering. IntRS@RecSys (2017)
Benedikt Loepp, Catalin-Mihai Barbu, Jürgen Ziegler
Interactive Recommending: Framework, State of Research and Future Challenges. EnCHIReS@EICS (2016)
Tim Donkers, Benedikt Loepp, Jürgen Ziegler
Tag-Enhanced Collaborative Filtering for Increasing Transparency and Interactive Control. UMAP (2016)
Tim Donkers, Benedikt Loepp, Jürgen Ziegler
Towards Understanding Latent Factors and User Profiles by Enhancing Matrix Factorization with Tags. RecSys Posters (2016)
Johannes Kunkel, Benedikt Loepp, Jürgen Ziegler
3D-Visualisierung zur Eingabe von Präferenzen in Empfehlungssystemen. Mensch & Computer (2015)
Benedikt Loepp, Katja Herrmanny, Jürgen Ziegler
Merging Interactive Information Filtering and Recommender Algorithms - Model and Concept Demonstrator. i-com 14 (1) (2015)
Benedikt Loepp, Katja Herrmanny, Jürgen Ziegler
Blended Recommending: Integrating Interactive Information Filtering and Algorithmic Recommender Techniques. CHI (2015)
Tim Donkers, Benedikt Loepp, Jürgen Ziegler
Merging Latent Factors and Tags to Increase Interactive Control of Recommendations. RecSys Posters (2015)
Benedikt Loepp, Tim Hussein, Jürgen Ziegler
Choice-based preference elicitation for collaborative filtering recommender systems. CHI (2014)
Benedikt Loepp, Jürgen Ziegler
Komplexe Präferenzprofile für intermodale Navigation. Mensch & Computer Workshopband (2014)
Katja Herrmanny, Sandra Schering, Ralf Berger, Benedikt Loepp, Timo Günter, Tim Hussein, Jürgen Ziegler
MyMovieMixer: Ein hybrider Recommender mit visuellem Bedienkonzept. Mensch & Computer (2014)
Benedikt Loepp, Tim Hussein, Jürgen Ziegler
Interaktive Empfehlungsgenerierung mit Hilfe latenter Produktfaktoren. Mensch & Computer (2013)