Publications related to User Control in Recommender Systems: Overview and Interaction Challenges
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.
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.
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.
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.
Multi-list interfaces for recommender systems: Survey and future directions
Loepp, B. (2023). Frontiers in Big Data, 6.
Beyond Algorithmic Fairness in Recommender Systems
Elahi, M., Abdollahpouri, H., Mansoury, M., & Torkamaan, H. (2021). UMAP ’21: Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, 41–46.
An Interactive Hybrid Approach to Generate Explainable and Controllable Recommendations
Naveed, S. (2021). [PhD thesis, University of Duisburg-Essen].
New Insights Towards Developing Recommender Systems
Taghavi, M., Bentahar, J., Bakhtiyari, K., & Hanachi, C. (2018). The Computer Journal, 61(3), 319–348.
Agent-based Computational Investing Recommender System
Taghavi, M., Bakhtiyari, K., & Scavino, E. (2013). In Proceedings of the 7th ACM Conference on Recommender Systems (pp. 455–458). ACM.