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

Explaining Recommendations by Means of User Reviews

Sequential User-based Recurrent Neural Network Recommendations

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

To Explain or Not to Explain: the Effects of Personal Characteristics When Explaining Feature-based Recommendations in Different Domains

Feature-Driven Interactive Recommendations and Explanations with Collaborative Filtering Approach

User Control in Recommender Systems: Overview and Interaction Challenges

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

Merging Latent Factors and Tags to Increase Interactive Control of Recommendations

Interactive Recommending with Tag-Enhanced Matrix Factorization (TagMF)

Empfehlungssysteme

On User Awareness in Model-Based Collaborative Filtering Systems

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

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

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

Towards Interactive Recommending in Model-based Collaborative Filtering Systems

Assessing the Helpfulness of Review Content for Explaining Recommendations

Rating-based preference elicitation for recommendation of stress intervention

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

Augmented Reality Based Recommending in the Physical World

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

Hootle+: A Group Recommender System Supporting Preference Negotiation

Interactive Recommending: Framework, State of Research and Future Challenges

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

Interaktive Empfehlungsgenerierung mit Hilfe latenter Produktfaktoren

Map-based Visualization of Item Spaces for Increasing Transparency and Control in Recommender Systems

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

LittleMissFits: Ein Game-With-A-Purpose zur Evaluierung subjektiver Verständlichkeit von latenten Faktoren in Empfehlungssystemen

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

Ein Online-Spiel zur Benennung latenter Faktoren in Empfehlungssystemen

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

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