Publications related to Towards a Design Space for Personalizing the Presentation of Recommendations

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

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

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

User Model Dimensions for Personalizing the Presentation of Recommendations

Interactive Recommending: Framework, State of Research and Future Challenges

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

An Interactive Hybrid Approach to Generate Explainable and Controllable Recommendations

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

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

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

HCI engineering: Charting the way towards methods and tools for advanced interactive systems

Rechnerunterstützung für kooperative Arbeit - Computer Supported Cooperative Work

Methoden und Werkzeuge für kooperatives Content Engineering

MetaChart: Using creativity methods in a CSCW environment

An architecture for recovering business events bottom-up

Prozess- und Kooperationsunterstützung in Intra- und Internet

Integrating Groupware and Workflow in a Public Administration

Psychological User Characteristics and Meta-Intents in a Conversational Product Advisor

Enhancing an Interactive Recommendation System with Review-based Information Filtering

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

Increasing the Trustworthiness of Recommendations by Exploiting Social Media Sources

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

Let Me Explain: Impact of Personal and Impersonal Explanations on Trust in Recommender Systems

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

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

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

Towards Interactive Recommending in Model-based Collaborative Filtering Systems

The impact of emotionality and trust cues on the perceived trustworthiness of online reviews

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

Improving the Shopping Experience with an Augmented Reality-Enhanced Shelf

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

An Instrument for measuring users’ meta-intents

Mixed-Modality Interaction in Conversational Recommender Systems

On the Convergence of Intelligent Decision Aids

In-Store Augmented Reality-Enabled Product Comparison and Recommendation

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

Recommending Running Routes: Framework and Demonstrator

Understanding Latent Factors Using a GWAP

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

Rule-enhanced task models for increased expressiveness and compactness

Sensor-based and tangible interaction with a TV community platform for seniors

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