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.

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).