Publications related to MyMovieMixer: Ein hybrider Recommender mit visuellem Bedienkonzept

Blended Recommending: Integrating Interactive Information Filtering and Algorithmic Recommender Techniques

Choice-based Preference Elicitation for Collaborative Filtering Recommender Systems

Enhancing an Interactive Recommendation System with Review-based Information Filtering

User-centered recommender systems

Empfehlungssysteme

On User Awareness in Model-Based Collaborative Filtering 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

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

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

Understanding Latent Factors Using a GWAP

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

Merging Latent Factors and Tags to Increase Interactive Control of Recommendations

A Context-Aware Shopping Portal Based on Semantic Models

Wahrnehmung und Akzeptanz von systemgenerierten Produktempfehlungen

Adapting web sites by spreading activation in ontologies

Interactive Recommending with Tag-Enhanced Matrix Factorization (TagMF)

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

Supporting users in setting effective goals in activity tracking

3D-Visualisierung zur Eingabe von Präferenzen in Empfehlungssystemen

Hybreed: A Software Framework for Developing Context-Aware Hybrid Recommender Systems

A framework and an architecture for context-aware group recommendations

Context-adaption based on ontologies and spreading activation

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

An Interactive Hybrid Approach to Generate Explainable and Controllable Recommendations

2nd International Workshop on Semantic Models for Adaptive Interactive Systems (SEMAIS 2011)

1st international workshop on semantic models for adaptive interactive systems (SEMAIS 2010)

Modeling and exploiting context for adaptive collaboration

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

Impact of Item Consumption on Assessment of Recommendations in User Studies