Publications related to Hootle+: A Group Recommender System Supporting Preference Negotiation

Preference Elicitation and Negotiation in a Group Recommender System

Augmented Reality Based Recommending in the Physical World

Improving the Shopping Experience with an Augmented Reality-Enhanced Shelf

An Interactive Hybrid Approach to Generate Explainable and Controllable Recommendations

In-Store Augmented Reality-Enabled Product Comparison and Recommendation

User-centered recommender systems

A comparative study of item space visualizations for recommender systems

Development of an Instrument for Measuring Users’ Perception of Transparency in Recommender Systems

Mensch-Computer-Interaktion als zentrales Gebiet der Informatik: Bestandsaufnahme, Trends und Herausforderungen

Empfehlungssysteme

Featuristic: An interactive hybrid system for generating explainable recommendations – Beyond system accuracy

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

Feature-driven interactive recommendations and explanations with collaborative filtering approach

To explain or not to explain: the effects of personal characteristics when explaining feature-based recommendations in different domains

On User Awareness in Model-Based Collaborative Filtering Systems

Hybreed: a software framework for developing context-aware hybrid recommender systems

How Users Ride the Carousel: Exploring the Design of Multi-List Recommender Interfaces From a User Perspective

Blending Conversational Product Advisors and Faceted Filtering in a Graph-Based Approach

Towards Multi-Method Support for Product Search and Recommending

Health Recommender Systems for Mental Health Promotion

Integrating Behavior Change and Persuasive Design Theories into an Example Mobile Health Recommender System

ConvEx-DS: A Dataset for Conversational Explanations in Recommender Systems

Identifying Group-Specific Mental Models of Recommender Systems: A Novel Quantitative Approach

Effects of Interactivity and Presentation on Review-Based Explanations for Recommendations

Acceptance of an AR-Based In-Store Shopping Advisor: The Impact of Psychological User Characteristics

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

NewsViz: Depicting and Controlling Preference Profiles Using Interactive Treemaps in News Recommender Systems

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

Towards Interactive Recommending in Model-based Collaborative Filtering Systems

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

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

Explaining Recommendations by Means of User Reviews

Towards a Design Space for Personalizing the Presentation of Recommendations

Sequential User-based Recurrent Neural Network Recommendations

User Model Dimensions for Personalizing the Presentation of Recommendations

Interactive Recommending: Framework, State of Research and Future Challenges

Tag-Enhanced Collaborative Filtering for Increasing Transparency and Interactive Control

Choice-based Preference Elicitation for Collaborative Filtering Recommender Systems

An Instrument for measuring users’ meta-intents

Mixed-Modality Interaction in Conversational Recommender Systems

On the Use of Feature-based Collaborative Explanations: An Empirical Comparison of Explanation Styles

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

Measuring the Impact of Recommender Systems – A Position Paper on Item Consumption in User Studies

How Can They Know That? A Study of Factors Affecting the Creepiness of Recommendations

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

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

Recommending Running Routes: Framework and Demonstrator

Understanding Latent Factors Using a GWAP

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

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

Towards Understanding Latent Factors and User Profiles by Enhancing Matrix Factorization with Tags

Merging Latent Factors and Tags to Increase Interactive Control of Recommendations

Blended Recommending: Integrating Interactive Information Filtering and Algorithmic Recommender Techniques

A Context-Aware Shopping Portal Based on Semantic Models

Wahrnehmung und Akzeptanz von systemgenerierten Produktempfehlungen

Adapting web sites by spreading activation in ontologies