ConceptCloud - Entwicklung einer Applikation zur Unterstützung von Reflexionsprozessen im Online-Lernportal Go-Lab. - Kristina Angenendt; Jeanny Bormann; Tim Donkers; Tabitha Goebel; Anna Kizina; Timm Kleemann; Lisa Michael; Hifsa Raja; Franziska Sachs; Christina Schneegass; Lisa-Maria Sinzig; Juliane Steffen; et al. (DeLFI WOrkshops, 2015)

Merging Latent Factors and Tags to Increase Interactive Control of Recommendations. - Tim Donkers; Benedikt Loepp; Jürgen Ziegler 001 (RecSys Posters, 2015)

Towards Understanding Latent Factors and User Profiles by Enhancing Matrix Factorization with Tags. - Tim Donkers; Benedikt Loepp; Jürgen Ziegler 001 (RecSys Posters, 2016)

Tag-Enhanced Collaborative Filtering for Increasing Transparency and Interactive Control. - Tim Donkers; Benedikt Loepp; Jürgen Ziegler 001 (UMAP, 2016)

Sequential User-based Recurrent Neural Network Recommendations. - Tim Donkers; Benedikt Loepp; Jürgen Ziegler 001 (RecSys, 2017)

Explaining Recommendations by Means of User Reviews. - Tim Donkers; Benedikt Loepp; Jürgen Ziegler 001 (IUI Workshops, 2018)

Trust-related Effects of Expertise and Similarity Cues in Human-Generated Recommendations. - Johannes Kunkel; Tim Donkers; Catalin-Mihai Barbu; Jürgen Ziegler 001 (IUI Workshops, 2018)

Impact of item consumption on assessment of recommendations in user studies. - Benedikt Loepp; Tim Donkers; Timm Kleemann; Jürgen Ziegler 001 (RecSys, 2018)

Argumentation-Based Explanations in Recommender Systems: Conceptual Framework and Empirical Results. - Sidra Naveed; Tim Donkers; Jürgen Ziegler 001 (UMAP (Adjunct Publication), 2018)

Let Me Explain: Impact of Personal and Impersonal Explanations on Trust in Recommender Systems. - Johannes Kunkel; Tim Donkers; Lisa Michael; Catalin-Mihai Barbu; Jürgen Ziegler 001 (CHI, 2019)

Impact of Consuming Suggested Items on the Assessment of Recommendations in User Studies on Recommender Systems. - Benedikt Loepp; Tim Donkers; Timm Kleemann; Jürgen Ziegler 001 (IJCAI, 2019)

Interactive recommending with Tag-Enhanced Matrix Factorization (TagMF). - Benedikt Loepp; Tim Donkers; Timm Kleemann; Jürgen Ziegler 001 (Int. J. Hum. Comput. Stud., 2019)

Explaining recommendations by means of aspect-based transparent memories. - Tim Donkers; Timm Kleemann; Jürgen Ziegler 001 (IUI, 2020)

Effects of Argumentative Explanation Types on the Perception of Review-Based Recommendations. - Diana C. Hernandez-Bocanegra; Tim Donkers; Jürgen Ziegler 001 (UMAP (Adjunct Publication), 2020)

Leveraging Arguments in User Reviews for Generating and Explaining Recommendations. - Tim Donkers; Jürgen Ziegler 001 (Datenbank-Spektrum, 2020)

The Dual Echo Chamber: Modeling Social Media Polarization for Interventional Recommending. - Tim Donkers; Jürgen Ziegler 001 (RecSys, 2021)

Meta-Intents in Conversational Recommender Systems. - Yuan Ma; Tim Donkers; Timm Kleemann; Jürgen Ziegler 001 (KaRS@RecSys, 2022)

An Instrument for measuring users' meta-intents. - Yuan Ma; Tim Donkers; Timm Kleemann; Jürgen Ziegler 001 (CHIIR, 2023)

De-sounding echo chambers: Simulation-based analysis of polarization dynamics in social networks. - Tim Donkers; Jürgen Ziegler 001 (Online Soc. Networks Media, 2023)

Harnessing Latent Space Semantics for Enhanced Interpretability of Recommender Systems in Item Retrieval and Online Communication Dynamics. - Tim Donkers (2024)

From explanations to human-AI co-evolution: charting trajectories towards future user-centric AI. - Jürgen Ziegler 001; Tim Donkers (i-com, 2024)

Understanding Online Polarization Through Human-Agent Interaction in a Synthetic LLM-Based Social Network. - Tim Donkers; Jürgen Ziegler 001 (ICWSM, 2025)

Human-Agent Interaction in Synthetic Social Networks: A Framework for Studying Online Polarization. - Tim Donkers; Jürgen Ziegler 001 (CoRR, 2025)