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Tim Donkers
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2020 – today
- 2024
- [b1]Tim Donkers:
Harnessing Latent Space Semantics for Enhanced Interpretability of Recommender Systems in Item Retrieval and Online Communication Dynamics. University of Duisburg-Essen, Germany, 2024 - [j4]Jürgen Ziegler
, Tim Donkers:
From explanations to human-AI co-evolution: charting trajectories towards future user-centric AI. i-com 23(2): 263-272 (2024) - 2023
- [j3]Tim Donkers
De-sounding echo chambers: Simulation-based analysis of polarization dynamics in social networks. Online Soc. Networks Media 37-38: 100275 (2023) - [c16]Yuan Ma
An Instrument for measuring users' meta-intents. CHIIR 2023: 290-302 - 2022
- [c15]Yuan Ma, Tim Donkers, Timm Kleemann, Jürgen Ziegler:
Meta-Intents in Conversational Recommender Systems. KaRS@RecSys 2022: 81-90 - 2021
- [c14]Tim Donkers, Jürgen Ziegler:
The Dual Echo Chamber: Modeling Social Media Polarization for Interventional Recommending. RecSys 2021: 12-22 - 2020
- [j2]Tim Donkers, Jürgen Ziegler
Leveraging Arguments in User Reviews for Generating and Explaining Recommendations. Datenbank-Spektrum 20(2): 181-187 (2020) - [c13]Tim Donkers, Timm Kleemann
Explaining recommendations by means of aspect-based transparent memories. IUI 2020: 166-176 - [c12]Diana C. Hernandez-Bocanegra, Tim Donkers, Jürgen Ziegler:
Effects of Argumentative Explanation Types on the Perception of Review-Based Recommendations. UMAP (Adjunct Publication) 2020: 219-225
2010 – 2019
- 2019
- [j1]Benedikt Loepp
Interactive recommending with Tag-Enhanced Matrix Factorization (TagMF). Int. J. Hum. Comput. Stud. 121: 21-41 (2019) - [c11]Johannes Kunkel, Tim Donkers, Lisa Michael, Catalin-Mihai Barbu, Jürgen Ziegler:
Let Me Explain: Impact of Personal and Impersonal Explanations on Trust in Recommender Systems. CHI 2019: 487 - [c10]Benedikt Loepp
Impact of Consuming Suggested Items on the Assessment of Recommendations in User Studies on Recommender Systems. IJCAI 2019: 6201-6205 - 2018
- [c9]Tim Donkers, Benedikt Loepp, Jürgen Ziegler:
Explaining Recommendations by Means of User Reviews. IUI Workshops 2018 - [c8]Johannes Kunkel, Tim Donkers, Catalin-Mihai Barbu, Jürgen Ziegler:
Trust-related Effects of Expertise and Similarity Cues in Human-Generated Recommendations. IUI Workshops 2018 - [c7]Benedikt Loepp
Impact of item consumption on assessment of recommendations in user studies. RecSys 2018: 49-53 - [c6]Sidra Naveed, Tim Donkers, Jürgen Ziegler:
Argumentation-Based Explanations in Recommender Systems: Conceptual Framework and Empirical Results. UMAP (Adjunct Publication) 2018: 293-298 - 2017
- [c5]Tim Donkers, Benedikt Loepp
Sequential User-based Recurrent Neural Network Recommendations. RecSys 2017: 152-160 - 2016
- [c4]Tim Donkers, Benedikt Loepp, Jürgen Ziegler:
Towards Understanding Latent Factors and User Profiles by Enhancing Matrix Factorization with Tags. RecSys Posters 2016 - [c3]Tim Donkers, Benedikt Loepp
Tag-Enhanced Collaborative Filtering for Increasing Transparency and Interactive Control. UMAP 2016: 169-173 - 2015
- [c2]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, Sven Manske, Tobias Hecking, Heinz Ulrich Hoppe:
ConceptCloud - Entwicklung einer Applikation zur Unterstützung von Reflexionsprozessen im Online-Lernportal Go-Lab. DeLFI WOrkshops 2015: 132-135 - [c1]Tim Donkers, Benedikt Loepp, Jürgen Ziegler:
Merging Latent Factors and Tags to Increase Interactive Control of Recommendations. RecSys Posters 2015
Coauthor Index
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