Publications related to Understanding Latent Factors Using a GWAP

Empfehlungssysteme

On User Awareness in Model-Based Collaborative Filtering Systems

A 3D Item Space Visualization for Presenting and Manipulating User Preferences in Collaborative Filtering

3D-Visualisierung zur Eingabe von Präferenzen in Empfehlungssystemen

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

Towards Interactive Recommending in Model-based Collaborative Filtering Systems

Explaining Recommendations by Means of User Reviews

Sequential User-based Recurrent Neural Network 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

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

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

Recommending Running Routes: Framework and Demonstrator

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

Interactive Recommending with Tag-Enhanced Matrix Factorization (TagMF)

Eine Sandbox zur physisch-virtuellen Exploration von Ausgrabungsstätten

Enhancing an Interactive Recommendation System with Review-based Information Filtering

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

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

Impact of Consuming Suggested Items on the Assessment of Recommendations in User Studies on Recommender 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

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

Impact of Item Consumption on Assessment of Recommendations in User Studies

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

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

MyMovieMixer: Ein hybrider Recommender mit visuellem Bedienkonzept

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

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

Augmented-Reality-Enhanced Product Comparison in Physical Retailing

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

Negotiation and Reconciliation of Preferences in a Group Recommender System

Improving the Shopping Experience with an Augmented Reality-Enhanced Shelf

Towards a Design Space for Personalizing the Presentation of Recommendations

User Model Dimensions for Personalizing the Presentation of Recommendations

Empirische Bedarfsanalyse zur intermodalen Navigation und dem Einsatz von Informationssystemen zur Förderung ihrer Attraktivität

Hootle+: A Group Recommender System Supporting Preference Negotiation

Preference Elicitation and Negotiation in a Group Recommender System