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

Towards a Design Space for Personalizing the Presentation of Recommendations

User Model Dimensions for Personalizing the Presentation of Recommendations

Trust-Related Effects of Expertise and Similarity Cues in Human-Generated Recommendations

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

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

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

Exploring Mental Models for Transparent and Controllable Recommender Systems: A Qualitative Study

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Interactive Recommending: Framework, State of Research and Future Challenges

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Challenges in User-Centered Engineering of AI-based Interactive Systems

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Impact of Item Consumption on Assessment of Recommendations in User Studies

A Taxonomy of Mood Research and Its Applications in Computer Science

On User Awareness in Model-Based Collaborative Filtering Systems

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Effects of Argumentative Explanation Types on the Perception of Review-Based Recommendations

Argumentative explanations for recommendations - Effect of display style and profile transparency

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Multi-criteria rating-based preference elicitation in health recommender systems

Augmented Reality Based Recommending in the Physical World

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

Explaining Recommendations by Means of User Reviews

Negotiation and Reconciliation of Preferences in a Group Recommender System

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Sequential User-based Recurrent Neural Network Recommendations

Hootle+: A Group Recommender System Supporting Preference Negotiation

Tag-Enhanced Collaborative Filtering for Increasing Transparency and Interactive Control

Preference Elicitation and Negotiation in a Group Recommender System

Choice-based Preference Elicitation for Collaborative Filtering Recommender Systems

Involving End Users in Distributed Requirements Engineering