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.

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.

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.
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).

Explaining review-based recommendations: Effects of profile transparency, presentation style and user characteristics
Hernandez-Bocanegra, D. C., & Ziegler, J. (2020). Journal of Interactive Media.

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.

Argumentative explanations for recommendations - Effect of display style and profile transparency
Hernandez-Bocanegra, D. C., & Ziegler, J. (2020). Proceedings of the Mensch Und Computer 2020 Workshop on User-Centered Artificial Intelligence (UCAI 2020).

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.

Assessing the Helpfulness of Review Content for Explaining Recommendations
Hernandez-Bocanegra, D. C., & Ziegler, J. (2019). EARS Workshop at SIGIR’19.
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.

In-Store Augmented Reality-Enabled Product Comparison and Recommendation
Álvarez Márquez, O. J., & 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).

Merging Interactive Information Filtering and Recommender Algorithms: Model and Concept Demonstrator
Loepp, B., Herrmanny, K., & Ziegler, J. (2015). i-Com, 14(1), 5–17.

Blended Recommending: Integrating Interactive Information Filtering and Algorithmic Recommender Techniques
Loepp, B., Herrmanny, K., & Ziegler, J. (2015). Proceedings of the 33rd International Conference on Human Factors in Computing Systems (CHI ’15), 975–984.
A Context-Aware Shopping Portal Based on Semantic Models
Hussein, T., Linder, T., & Ziegler, J. (2013). In T. Hussein, H. Paulheim, S. Lukosch, J. Ziegler, & G. Calvary (Eds.), Semantic Models for Adaptive Interactive Systems. Springer.
Wahrnehmung und Akzeptanz von systemgenerierten Produktempfehlungen
Hussein, T., Gaulke, W., Hartmann, A., & Ziegler, J. (2010). In J. Ziegler & A. Schmidt (Eds.), Mensch & Computer 2010 (1st ed.). Oldenbourg.

Adapting web sites by spreading activation in ontologies
Hussein, T., & Ziegler, J. (2008). ReColl ’08: Int. Workshop on Recommendation and Collaboration (in Conjunction with IUI 2008).