Publications related to Enhancing an Interactive Recommendation System with Review-based Information Filtering

Interactive Recommending: Framework, State of Research and Future Challenges

Blended Recommending: Integrating Interactive Information Filtering and Algorithmic Recommender Techniques

User-centered recommender systems

Empfehlungssysteme

On User Awareness in Model-Based Collaborative Filtering Systems

Increasing the Trustworthiness of Recommendations by Exploiting Social Media Sources

MyMovieMixer: Ein hybrider Recommender mit visuellem Bedienkonzept

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

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

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

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

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

Explaining Recommendations by Means of Aspect-Based Transparent Memories

Interactive Recommending with Tag-Enhanced Matrix Factorization (TagMF)

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

3D-Visualisierung zur Eingabe von Präferenzen in Empfehlungssystemen

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

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

A comparative study of item space visualizations for recommender systems

Recommender Systems Alone Are Not Everything: Towards a Broader Perspective in the Evaluation of 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

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

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