Publications related to Towards Understanding Latent Factors and User Profiles by Enhancing Matrix Factorization with Tags
Merging Latent Factors and Tags to Increase Interactive Control of Recommendations
Donkers, T., Loepp, B., & Ziegler, J. (2015). In Poster Proceedings of the 9th ACM Conference on Recommender Systems (RecSys ’15).
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.
Towards Interactive Recommending in Model-based Collaborative Filtering Systems
Loepp, B., & Ziegler, J. (2019). In Proceedings of the 13th ACM Conference on Recommender Systems (RecSys ’19) (pp. 546–547). New York, NY, USA: ACM.
Explaining Recommendations by Means of User Reviews
Donkers, T., Loepp, B., & Ziegler, J. (2018). In 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). In Proceedings of the 11th ACM Conference on Recommender Systems (RecSys ’17) (pp. 152–160). New York, NY, USA: ACM.
Tag-Enhanced Collaborative Filtering for Increasing Transparency and Interactive Control
Donkers, T., Loepp, B., & Ziegler, J. (2016). In Proceedings of the 24th Conference on User Modeling Adaptation and Personalization (UMAP ’16) (pp. 169–173). New York, NY, USA: ACM.
Empfehlungssysteme
Ziegler, J., & Loepp, B. (2019). In T. Kollmann (Ed.), Handbuch Digitale Wirtschaft. Springer.
On User Awareness in Model-Based Collaborative Filtering Systems
Loepp, B., & Ziegler, J. (2017). In Proceedings of the 1st Workshop on Awareness Interfaces and Interactions (AWARE ’17).
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). In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI ’19) (pp. 6201–6205). IJCAI Organization.
Impact of Item Consumption on Assessment of Recommendations in User Studies
Loepp, B., Donkers, T., Kleemann, T., & Ziegler, J. (2018). In Proceedings of the 12th ACM Conference on Recommender Systems (RecSys ’18) (pp. 49–53). New York, NY, USA: ACM.
Argumentation-based explanations in recommender systems: Conceptual framework and empirical results
Naveed, S., Donkers, T., & Ziegler, J. (2018). In UMAP 2018 - Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization (pp. 293–298). New York, NY, USA: ACM.
Interactive Recommending: Framework, State of Research and Future Challenges
Loepp, B., Barbu, C.-M., & Ziegler, J. (2016). In Proceedings of the 1st Workshop on Engineering Computer-Human Interaction in Recommender Systems (EnCHIReS ’16) (pp. 3–13).
Choice-based Preference Elicitation for Collaborative Filtering Recommender Systems
Loepp, B., Hussein, T., & Ziegler, J. (2014). In Proceedings of the 32nd International Conference on Human Factors in Computing Systems (CHI ’14) (pp. 3085–3094). New York, NY, USA: ACM.
Interaktive Empfehlungsgenerierung mit Hilfe latenter Produktfaktoren
Loepp, B., Hussein, T., & Ziegler, J. (2013). In Mensch & Computer 2013 – Tagungsband (pp. 17–26). München: Oldenbourg.
Measuring the Impact of Recommender Systems – A Position Paper on Item Consumption in User Studies
Loepp, B., & Ziegler, J. (2019). In Proceedings of the 1st Workshop on Impact of Recommender Systems (ImpactRS ’19).
LittleMissFits: Ein Game-With-A-Purpose zur Evaluierung subjektiver Verständlichkeit von latenten Faktoren in Empfehlungssystemen
Kunkel, J., Loepp, B., Dolff, E., & Ziegler, J. (2019). In Mensch und Computer 2019 – Workshopband (pp. 49–56). Gesellschaft für Informatik e.V.
Recommending Running Routes: Framework and Demonstrator
Loepp, B., & Ziegler, J. (2018). In Proceedings of the 2nd Second Workshop on Recommendation in Complex Scenarios (ComplexRec ’18) (pp. 26–29).
Understanding Latent Factors Using a GWAP
Kunkel, J., Loepp, B., & Ziegler, J. (2018). In 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). In Mensch und Computer 2018 – Tagungsband. Gesellschaft für Informatik e.V.
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). In Proceedings of the 33rd International Conference on Human Factors in Computing Systems (CHI ’15) (pp. 975–984). New York, NY, USA: ACM.
Enhancing an Interactive Recommendation System with Review-based Information Filtering
Feuerbach, J., Loepp, B., Barbu, C.-M., & Ziegler, J. (2017). In Proceedings of the 4th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS ’17) (Vol. 1884, pp. 2–9).
A 3D Item Space Visualization for Presenting and Manipulating User Preferences in Collaborative Filtering
Kunkel, J., Loepp, B., & Ziegler, J. (2017). In Proceedings of the 22nd International Conference on Intelligent User Interfaces (IUI ’17) (pp. 3–15). New York, NY, USA: ACM.
3D-Visualisierung zur Eingabe von Präferenzen in Empfehlungssystemen
Kunkel, J., Loepp, B., & Ziegler, J. (2015). In Mensch und Computer 2015 – Tagungsband (pp. 123–132). Berlin: De Gruyter Oldenbourg.
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). In Proceedings of the 37th International Conference on Human Factors in Computing Systems (CHI ’19) (pp. 487:1–487:12). New York: ACM.
Trust-Related Effects of Expertise and Similarity Cues in Human-Generated Recommendations
Kunkel, J., Donkers, T., Barbu, C.-M., & Ziegler, J. (2018). In 2nd Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces (HUMANIZE).
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.
MyMovieMixer: Ein hybrider Recommender mit visuellem Bedienkonzept
Herrmanny, K., Schering, S., Berger, R., Loepp, B., Günter, T., Hussein, T., & Ziegler, J. (2014). In Mensch und Computer 2014 – Tagungsband (pp. 45–54). Berlin: De Gruyter Oldenbourg.
Assessing the Helpfulness of Review Content for Explaining Recommendations
Hernandez-Bocanegra, D. C., & Ziegler, J. (2019). In EARS Workshop at SIGIR’19.
Rating-based preference elicitation for recommendation of stress intervention
Torkamaan, H., & Ziegler, J. (2019). In Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization - UMAP ’19 (pp. 46–50). ACM Press.
Multi-criteria rating-based preference elicitation in health recommender systems
Torkamaan, H., & Ziegler, J. (2018). In Proceedings of the Third International Workshop on Health Recommender Systems co-located with Twelfth ACM Conference on Recommender Systems (HealthRecSys’18) (Vol. 2216, pp. 18–23). Aachen.
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). Bonn: 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). In Mensch und Computer 2017 - Workshopband (pp. 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).
Empirische Bedarfsanalyse zur intermodalen Navigation und dem Einsatz von Informationssystemen zur Förderung ihrer Attraktivität
Loepp, B., & Ziegler, J. (2017). In H. Proff & M. T. Fojcik (Eds.), Innovative Produkte und Dienstleistungen in der Mobilität: Technische und betriebswirtschaftliche Aspekte (pp. 409–426). Wiesbaden: Springer.
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). Cham: Springer.
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. Cham: Springer International Publishing.