Publications

Publications related to Argumentation-based explanations in recommender systems: Conceptual framework and empirical results

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.

Leveraging Arguments in User Reviews for Generating and Explaining Recommendations

Donkers, T., & Ziegler, J. (2020). Datenbank-Spektrum, 20(2), 181–187.

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.

Argumentative Explanations for Recommendations Based on Reviews

Hernandez Bocanegra, D. C. (2022). [PhD thesis, University of Duisburg-Essen].

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.

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.

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.

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 Instrument for measuring users’ meta-intents

Ma, Y., Donkers, T., Kleemann, T., & Ziegler, J. (2023). In J. Gwizdka & S. Y. Rieh (Eds.), CHIIR ’23: Proceedings of the 2023 Conference on Human Information Interaction and Retrieval (pp. 290–302). ACM.

An Interactive Hybrid Approach to Generate Explainable and Controllable Recommendations

Naveed, S. (2021). [PhD thesis, University of Duisburg-Essen].

The Dual Echo Chamber: Modeling Social Media Polarization for Interventional Recommending

Donkers, T., & Ziegler, J. (2021). Fifteenth ACM Conference on Recommender Systems, 12–22.

On the Use of Feature-based Collaborative Explanations: An Empirical Comparison of Explanation Styles

Naveed, S., Loepp, B., & Ziegler, J. (2020). ExUM ’20: Proceedings of the International Workshop on Transparent Personalization Methods Based on Heterogeneous Personal Data, 226–232.

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.

User Control in Recommender Systems: Overview and Interaction Challenges

Jannach, D., Naveed, S., & Jugovac, M. (2017). In D. Bridge & H. Stuckenschmidt (Eds.), E-Commerce and Web Technologies (pp. 21–33). Springer International Publishing.

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).

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.

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.

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.

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).

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.

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.

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.

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.

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).

Harnessing Latent Space Semantics for Enhanced Interpretability of Recommender Systems in Item Retrieval and Online Communication Dynamics

Donkers, T. (2024). [PhD thesis].

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.

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.

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.

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.

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.

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.

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.

Interactive Methods for Model-based Collaborative Filtering Recommender Systems

Loepp, B. (2021). [PhD thesis, University of Duisburg-Essen].

In-Store Augmented Reality-Enabled Product Comparison and Recommendation

Álvarez Márquez, J. O., & Ziegler, J. (2020). 14th ACM Conference on Recommender Systems, 180–189.

Distribution sliders: Visualizing data distributions in range selection sliders

Kleemann, T., & Ziegler, J. (2020). Conference on "Mensch Und Computer", 67–78.

Measuring the Impact of Recommender Systems – A Position Paper on Item Consumption in User Studies

Loepp, B., & Ziegler, J. (2019). Proceedings of the 1st Workshop on Impact of Recommender Systems (ImpactRS ’19).

How Can They Know That? A Study of Factors Affecting the Creepiness of Recommendations

Torkamaan, H., Barbu, C.-M., & Ziegler, J. (2019). In T. Bogers & A. Said (Eds.), Proceedings of the 13th ACM Conference on Recommender Systems (pp. 423–427). ACM.

Kartenbasierte Produktraumdarstellung zur Erhöhung von Transparenz und Steuerbarkeit in Empfehlungssystemen

Kunkel, J., Feldkamp, T., & Ziegler, J. (2019). Mensch Und Computer 2019: Tagungsband.

Augmented-Reality-Enhanced Product Comparison in Physical Retailing

Álvarez Márquez, J. O., & Ziegler, J. (2019). Mensch Und Computer 2019: Tagungsband, 55–65.

LittleMissFits: Ein Game-With-A-Purpose zur Evaluierung subjektiver Verständlichkeit von latenten Faktoren in Empfehlungssystemen

Kunkel, J., Loepp, B., Dolff, E., & Ziegler, J. (2019). Mensch Und Computer 2019 – Workshopband, 49–56.

The Influence of Trust Cues on the Trustworthiness of Online Reviews for Recommendations

Barbu, C.-M., Carbonell, G., & Ziegler, J. (2019). Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 1687–1689.

Visualizing Item Spaces to Increase Transparency and Control in Recommender Systems

Kunkel, J., & Ziegler, J. (2019). AI and HCI Workshop at CHI’19.

Designing Interactive Visualizations of Personalized Review Data for a Hotel Recommender System

Barbu, C.-M., & Ziegler, J. (2018). In J. Neidhardt, W. Wörndl, T. Kuflik, & M. Zanker (Eds.), RecTour 2018: 3rd Workshop on Recommenders in Tourism co-located with the 12th ACM Conference on Recommender Systems (RecSys 2018) (Vol. 2222, pp. 7–12). RWTH.

Recommending Running Routes: Framework and Demonstrator

Loepp, B., & Ziegler, J. (2018). Proceedings of the 2nd Second Workshop on Recommendation in Complex Scenarios (ComplexRec ’18), 26–29.

Understanding Latent Factors Using a GWAP

Kunkel, J., Loepp, B., & Ziegler, J. (2018). Proceedings of the Late-Breaking Results Track Part of the Twelfth ACM Conference on Recommender Systems (RecSys ’18).

Ein Online-Spiel zur Benennung latenter Faktoren in Empfehlungssystemen

Kunkel, J., Loepp, B., & Ziegler, J. (2018). Mensch Und Computer 2018 – Tagungsband.

Co-Staying: a Social Network for Increasing the Trustworthiness of Hotel Recommendations

Barbu, C.-M., & Ziegler, J. (2017). In J. Neidhardt, D. Fesenmaier, T. Kuflik, & W. Wörndl (Eds.), RecTour 2017: 2nd Workshop on Recommenders in Tourism : Proceedings of the 2nd Workshop on Recommenders in Tourism co-located with 11th ACM Conference on Recommender Systems (RecSys 2017) Como, Italy, August 27, 2017 (Vol. 1906, pp. 35–39).

Users’ Choices About Hotel Booking: Cues for Personalizing the Presentation of Recommendations

Barbu, C.-M., & Ziegler, J. (2017). In T. Domonkos & P. Pu (Eds.), Poster Proceeding of ACM Recsys 2017: Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017) Como, Italy, August 28, 2017 (Vol. 1905, pp. 44–45).