Publications related to An Instrument for measuring users’ meta-intents
Meta-Intents in Conversational Recommender Systems
Yuan, M., Donkers, T., Kleemann, T., & Jürgen, Z. (2022). Proceedings of the 4th Edition of Knowledge-Aware and Conversational Recommender Systems (KaRS) Workshop @ RecSys 2022.
Mixed-Modality Interaction in Conversational Recommender Systems
Ma, Y., Kleemann, T., & Ziegler, J. (2021). Proceedings of the 8th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, 2948, 21–37.
Leveraging Arguments in User Reviews for Generating and Explaining Recommendations
Donkers, T., & Ziegler, J. (2020). Datenbank-Spektrum, 20(2), 181–187.
Psychological User Characteristics and Meta-Intents in a Conversational Product Advisor
Ma, Y., Kleemann, T., & Ziegler, J. (2022). Proceedings of the 9th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, 3222, 18–32.
Explaining Recommendations by Means of Aspect-Based Transparent Memories
Donkers, T., Kleemann, T., & Ziegler, J. (2020). In F. Paternò & N. Oliver (Eds.), Proceedings of the 25th International Conference on Intelligent User Interfaces (pp. 166–176). The Association for Computing Machinery.
Interactive Recommending with Tag-Enhanced Matrix Factorization (TagMF)
Loepp, B., Donkers, T., Kleemann, T., & Ziegler, J. (2019). International Journal of Human Computer Studies, 121, 21–41.
Harnessing Latent Space Semantics for Enhanced Interpretability of Recommender Systems in Item Retrieval and Online Communication Dynamics
Donkers, T. (2024). [PhD thesis].
Blending Conversational Product Advisors and Faceted Filtering in a Graph-Based Approach
Kleemann, T., & Ziegler, J. (2023). In J. Abdelnour Nocera, Kristı́n Lárusdóttir Marta, H. Petrie, A. Piccinno, & M. Winckler (Eds.), Human-Computer Interaction – INTERACT 2023 : 19th IFIP TC13 International Conference, York, UK, August 28 – September 1, 2023, Proceedings, Part III (Vol. 14144, pp. 137–159). Springer Nature Switzerland.
Towards Multi-Method Support for Product Search and Recommending
Kleemann, T., Loepp, B., & Ziegler, J. (2022). Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization (UMAP ’22), 74–79.
Argumentative Explanations for Recommendations Based on Reviews
Hernandez Bocanegra, D. C. (2022). [PhD thesis, University of Duisburg-Essen].
Impact of Consuming Suggested Items on the Assessment of Recommendations in User Studies on Recommender Systems
Loepp, B., Donkers, T., Kleemann, T., & Ziegler, J. (2019). Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI ’19), 6201–6205.
Impact of Item Consumption on Assessment of Recommendations in User Studies
Loepp, B., Donkers, T., Kleemann, T., & Ziegler, J. (2018). Proceedings of the 12th ACM Conference on Recommender Systems (RecSys ’18), 49–53.
Argumentation-based explanations in recommender systems: Conceptual framework and empirical results
Naveed, S., Donkers, T., & Ziegler, J. (2018). UMAP 2018 - Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization, 293–298.
Explaining Recommendations by Means of User Reviews
Donkers, T., Loepp, B., & Ziegler, J. (2018). Proceedings of the 1st Workshop on Explainable Smart Systems (ExSS ’18).
Sequential User-based Recurrent Neural Network Recommendations
Donkers, T., Loepp, B., & Ziegler, J. (2017). Proceedings of the 11th ACM Conference on Recommender Systems (RecSys ’17), 152–160.
The Dual Echo Chamber: Modeling Social Media Polarization for Interventional Recommending
Donkers, T., & Ziegler, J. (2021). Fifteenth ACM Conference on Recommender Systems, 12–22.
Distribution sliders: Visualizing data distributions in range selection sliders
Kleemann, T., & Ziegler, J. (2020). Conference on "Mensch Und Computer", 67–78.
Effects of Argumentative Explanation Types on the Perception of Review-Based Recommendations
Hernandez-Bocanegra, D. C., Donkers, T., & Ziegler, J. (2020). Adjunct Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization (UMAP ’20 Adjunct), 219–225.
Towards Understanding Latent Factors and User Profiles by Enhancing Matrix Factorization with Tags
Donkers, T., Loepp, B., & Ziegler, J. (2016). Poster Proceedings of the 10th ACM Conference on Recommender Systems (RecSys ’16).
Merging Latent Factors and Tags to Increase Interactive Control of Recommendations
Donkers, T., Loepp, B., & Ziegler, J. (2015). Poster Proceedings of the 9th ACM Conference on Recommender Systems (RecSys ’15).
Investigating meta-intents: user interaction preferences in conversational recommender systems
Ma, Y., & Ziegler, J. (2024). User Modeling and User-Adapted Interaction, in press.
From explanations to human-AI co-evolution: Charting trajectories towards future user-centric AI
Ziegler, J., & Donkers, T. (2024). i-Com: Journal of Interactive Media, 23(2), 263–272.
The Effect of Proactive Cues on the Use of Decision Aids in Conversational Recommender Systems
Ma, Y., & Ziegler, J. (2024). In The Association for Computing Machinery (ACM) (Ed.), Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization (UMAP Adjunct ’24) (pp. 305–315). ACM.
From explanations to human-AI co-evolution: Charting trajectories towards future user-centric AI
Ziegler, J., & Donkers, T. (2024). i-Com: Journal of Interactive Media, in press.
The Effect of Proactive Cues on the Use of Decision Aids in Conversational Recommender Systems
Ma, Y., & Ziegler, J. (2024). Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization.
De-sounding echo chambers: Simulation-based analysis of polarization dynamics in social networks
Donkers, T., & Ziegler, J. (2023). Online Social Networks and Media, 37-38.
An Interactive Hybrid Approach to Generate Explainable and Controllable Recommendations
Naveed, S. (2021). [PhD thesis, University of Duisburg-Essen].
ConceptCloud -Entwicklung einer Applikation zur Unterstützung von Reflexionsprozessen im Online-Lernportal Go-Lab
Angenendt, K., Bormann, J., Donkers, T., Goebel, T., Kizina, A., Kleemann, T., Michael, L., Raja, H., Sachs, F., Schneegass, C., Sinzig, L.-M., Steffen, J., Manske, S., Hecking, T., & Hoppe, U. H. (2015). In S. Rathmayer & H. Pongratz (Eds.), Proceedings of DeLFI Workshops 2015 (Vol. 1443, pp. 132–135). CEUR-WS.
An integrated approach for transparent, multi-level decision support in interactive recommender systems
Kleemann, T. (2024). [PhD thesis].
Explaining Recommendations through Conversations: Dialog Model and the Effects of Interface Type and Degree of Interactivity
Hernandez-Bocanegra, D. C., & Ziegler, J. (2023). ACM Transactions on Interactive Intelligent Systems (TiiS), 13(2).
User-centered recommender systems
Ziegler, J., & Loepp, B. (2023). In M. Augstein, E. Herder, & W. Wörndl (Eds.), Personalized Human-Computer Interaction (2nd ed., pp. 33–58). De Gruyter Oldenbourg.
A comparative study of item space visualizations for recommender systems
Kunkel, J., & Ziegler, J. (2023). International Journal of Human Computer Studies, 172.
Mental Models, Explanations, Visualizations: Promoting User-Centered Qualities in Recommender Systems
Kunkel, J. (2022). [PhD thesis, University of Duisburg-Essen].
Recommendations as Challenges: Estimating Required Effort and User Ability for Health Behavior Change Recommendations
Torkamaan, H., & Ziegler, J. (2022). 27th International Conference on Intelligent User Interfaces, 106–119.
Development of an Instrument for Measuring Users’ Perception of Transparency in Recommender Systems
Hellmann, M., Hernandez Bocanegra, D., & Ziegler, J. (2022). In A. Smith-Renner & O. Amir (Eds.), Workshops at the International Conference on Intelligent User Interfaces (IUI) 2022: Proceedings of the IUI 2022 Workshops: APEx-UI, HAI-GEN, HEALTHI, HUMANIZE, TExSS, SOCIALIZE (Vol. 3124, pp. 156–165). RWTH Aachen.
Modeling User Interaction at the Convergence of Filtering Mechanisms, Recommender Algorithms and Advisory Components
Kleemann, T., Wagner, M., Loepp, B., & Ziegler, J. (2021). Mensch Und Computer 2021 – Tagungsband, 531–543.
Explaining Review-Based Recommendations: Effects of Profile Transparency, Presentation Style and User Characteristics
Hernandez-Bocanegra, D. C., & Ziegler, J. (2020). i-Com: Journal of Interactive Media, 19(3), 181–200.
Mensch-Computer-Interaktion als zentrales Gebiet der Informatik: Bestandsaufnahme, Trends und Herausforderungen
Koch, M., Ziegler, J., Reuter, C., Schlegel, T., & Prilla, M. (2020). Informatik Spektrum, 43, 381–387.
Empfehlungssysteme
Ziegler, J., & Loepp, B. (2020). In T. Kollmann (Ed.), Handbuch Digitale Wirtschaft (pp. 717–741). Springer Gabler.
Featuristic: An interactive hybrid system for generating explainable recommendations – Beyond system accuracy
Naveed, S., & Ziegler, J. (2020). Proceedings of the 7th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, 14–25.
Challenges in User-Centered Engineering of AI-based Interactive Systems
Ziegler, J. (2019). In B. Weyers & J. Bowen (Eds.), Joint Proceedings HCI Engineering 2019 – Methods and Tools for Advanced Interactive Systems and Integration of Multiple Stakeholder Viewpoints co-located with 11th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2019) (Vol. 2503, pp. 51–55).
Integration of Dialog-based Product Advisors into Filter Systems
Kleemann, T., & Ziegler, J. (2019). Proceedings of the Conference on Mensch Und Computer, 67–77.
Feature-driven interactive recommendations and explanations with collaborative filtering approach
Naveed, S., & Ziegler, J. (2019). ComplexRec 2019: Proceedings of the Workshop on Recommendation in Complex Scenarios, 2449, 10–15.
To explain or not to explain: the effects of personal characteristics when explaining feature-based recommendations in different domains
Millecamp, M., Verbert, K., Naveed, S., & Ziegler, J. (2019). IntRS 2019: Proceedings of the 6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, 2450, 10–18.
Let Me Explain: Impact of Personal and Impersonal Explanations on Trust in Recommender Systems
Kunkel, J., Donkers, T., Michael, L., Barbu, C.-M., & Ziegler, J. (2019). Proceedings of the 37th International Conference on Human Factors in Computing Systems (CHI ’19), 487:1–487:12.
Trust-Related Effects of Expertise and Similarity Cues in Human-Generated Recommendations
Kunkel, J., Donkers, T., Barbu, C.-M., & Ziegler, J. (2018). 2nd Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces (HUMANIZE).
On User Awareness in Model-Based Collaborative Filtering Systems
Loepp, B., & Ziegler, J. (2017). Proceedings of the 1st Workshop on Awareness Interfaces and Interactions (AWARE ’17).
Hybreed: a software framework for developing context-aware hybrid recommender systems
Hussein, T., Linder, T., Gaulke, W., & Ziegler, J. (2014). User Modeling and User Adapted Interaction, 24(1), 121–174.
How Users Ride the Carousel: Exploring the Design of Multi-List Recommender Interfaces From a User Perspective
Loepp, B., & Ziegler, J. (2023). RecSys ’23: Proceedings of the 17th ACM Conference on Recommender Systems.
Creating Omni-Channel In-Store Shopping Experiences through Augmented-Reality-Based Product Recommending and Comparison
Álvarez Márquez, J. O., & Ziegler, J. (2023). International Journal of Human–Computer Interaction, in press.
Health Recommender Systems for Mental Health Promotion
Torkamaan, H. (2022). [PhD thesis, University of Duisburg-Essen].
Integrating Behavior Change and Persuasive Design Theories into an Example Mobile Health Recommender System
Torkamaan, H., & Ziegler, J. (2021). UbiComp ’21: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers, 218–225.
ConvEx-DS: A Dataset for Conversational Explanations in Recommender Systems
Hernandez-Bocanegra, D. C., & Ziegler, J. (2021). Interfaces and Human Decision Making for Recommender Systems 2021: Proceedings of the 8th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, 2948, 3–20.
Identifying Group-Specific Mental Models of Recommender Systems: A Novel Quantitative Approach
Kunkel, J., Ngo, P. T., Ziegler, J., & Krämer, N. (2021). In C. Ardito, R. Lanzilotti, A. Malizia, H. Petrie, A. Piccinno, G. Desolda, & K. Inkpen (Eds.), Human-Computer Interaction – INTERACT 2021: Proceedings, Part IV (Vol. 12935, pp. 383–404). Springer.
Effects of Interactivity and Presentation on Review-Based Explanations for Recommendations
Hernandez Bocanegra, D. C., & Ziegler, J. (2021). In C. Ardito, R. Lanzilotti, A. Malizia, H. Petrie, A. Piccinno, G. Desolda, & K. Inkpen (Eds.), Human-Computer Interaction – INTERACT 2021: Proceedings, Part II (Vol. 12933, pp. 597–618). Springer.
Acceptance of an AR-Based In-Store Shopping Advisor: The Impact of Psychological User Characteristics
Álvarez Márquez, J. O., & Ziegler, J. (2021). In C. Ardito, R. Lanzilotti, A. Malizia, H. Petrie, A. Piccinno, G. Desolda, & K. Inkpen (Eds.), Human-Computer Interaction – INTERACT 2021: Proceedings, Part I (Vol. 12932, pp. 457–479). Springer.
Conversational Review-based Explanations for Recommender Systems: Exploring Users’ Query Behavior
Hernandez-Bocanegra, D. C., & Ziegler, J. (2021). CUI 2021 - 3rd Conference on Conversational User Interfaces.
Argumentative explanations for recommendations - Effect of display style and profile transparency
Hernandez Bocanegra, D. C., & Ziegler, J. (2020). In C. Hansen, A. Nürnberger, & B. Preim (Eds.), Mensch und Computer 2020.
NewsViz: Depicting and Controlling Preference Profiles Using Interactive Treemaps in News Recommender Systems
Kunkel, J., Schwenger, C., & Ziegler, J. (2020). UMAP 2020 - Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 126–135.
Exploring Mental Models for Transparent and Controllable Recommender Systems: A Qualitative Study
Ngo, T. P., Kunkel, J., & Ziegler, J. (2020). UMAP 2020 - Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 183–191.
Towards Interactive Recommending in Model-based Collaborative Filtering Systems
Loepp, B., & Ziegler, J. (2019). Proceedings of the 13th ACM Conference on Recommender Systems (RecSys ’19), 546–547.
Multi-criteria rating-based preference elicitation in health recommender systems
Torkamaan, H., & Ziegler, J. (2018). Proceedings of the Third International Workshop on Health Recommender Systems Co-Located with Twelfth ACM Conference on Recommender Systems (HealthRecSys’18), 2216, 18–23.
Augmented Reality Based Recommending in the Physical World
Álvarez Márquez, J. O., & Ziegler, J. (2018). In R. Dachselt & G. Weber (Eds.), Mensch und Computer 2018 - Workshopband (pp. 285–291). Gesellschaft für Informatik e.V.
Negotiation and Reconciliation of Preferences in a Group Recommender System
Álvarez Márquez, J. O., & Ziegler, J. (2018). Journal of Information Processing, 26, 186–200.
Improving the Shopping Experience with an Augmented Reality-Enhanced Shelf
Álvarez Márquez, J. O., & Ziegler, J. (2017). Mensch Und Computer 2017 - Workshopband, 629–632.
Towards a Design Space for Personalizing the Presentation of Recommendations
Barbu, C.-M., & Ziegler, J. (2017). In L. Boratto, S. Carta, & G. Fenu (Eds.), EnCHIReS 2017: Engineering Computer-Human Interaction in Recommender Systems : Proceedings of the Second Workshop on Engineering Computer-Human Interaction in Recommender Systems co-located with the 9th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS 2017) (Vol. 1945, pp. 10–17).
User Model Dimensions for Personalizing the Presentation of Recommendations
Barbu, C.-M., & Ziegler, J. (2017). In P. Brusilovsky, M. de Gemmis, A. Felfernig, P. Lops, J. O’Donovan, N. Tintarev, & C. M. Willemsen (Eds.), IntRS 2017: Interfaces and Human Decision Making for Recommender Systems : Proceedings of the 4th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2017) (Vol. 1884, pp. 20–23).
Hootle+: A Group Recommender System Supporting Preference Negotiation
Álvarez Márquez, J. O., & Ziegler, J. (2016). In T. Yuizono, H. Ogata, U. H. Hoppe, & J. Vassileva (Eds.), Collaboration and Technology: 22nd International Conference, CRIWG 2016, Kanazawa, Japan, September 14-16, 2016, Proceedings (Vol. 9848, pp. 151–166). Springer.
Interactive Recommending: Framework, State of Research and Future Challenges
Loepp, B., Barbu, C.-M., & Ziegler, J. (2016). Proceedings of the 1st Workshop on Engineering Computer-Human Interaction in Recommender Systems (EnCHIReS ’16), 3–13.
Tag-Enhanced Collaborative Filtering for Increasing Transparency and Interactive Control
Donkers, T., Loepp, B., & Ziegler, J. (2016). Proceedings of the 24th Conference on User Modeling Adaptation and Personalization (UMAP ’16), 169–173.
Preference Elicitation and Negotiation in a Group Recommender System
Álvarez Márquez, J. O., & Ziegler, J. (2015). In J. Abascal, S. Barbosa, M. Fetter, T. Gross, P. Palanque, & M. Winckler (Eds.), Human-Computer Interaction – INTERACT 2015: 15th IFIP TC 13 International Conference, Bamberg, Germany, September 14-18, 2015, Proceedings, Part II. Springer International Publishing.
Choice-based Preference Elicitation for Collaborative Filtering Recommender Systems
Loepp, B., Hussein, T., & Ziegler, J. (2014). Proceedings of the 32nd International Conference on Human Factors in Computing Systems (CHI ’14), 3085–3094.
Interaktive Empfehlungsgenerierung mit Hilfe latenter Produktfaktoren
Loepp, B., Hussein, T., & Ziegler, J. (2013). Mensch & Computer 2013 – Tagungsband, 17–26.