Publications related to Explaining Review-Based Recommendations: Effects of Profile Transparency, Presentation Style and User Characteristics

Development of an Instrument for Measuring Users’ Perception of Transparency in Recommender Systems

ConvEx-DS: A Dataset for Conversational Explanations in Recommender Systems

Effects of Interactivity and Presentation on Review-Based Explanations for Recommendations

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

An Interactive Hybrid Approach to Generate Explainable and Controllable Recommendations

Assessing the Helpfulness of Review Content for Explaining Recommendations

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

User-centered recommender systems

A comparative study of item space visualizations for 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

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

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

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

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

Identifying Group-Specific Mental Models of Recommender Systems: A Novel Quantitative Approach

Acceptance of an AR-Based In-Store Shopping Advisor: The Impact of Psychological User Characteristics

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

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

Towards Interactive Recommending in Model-based Collaborative Filtering Systems

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

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

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

Preface to the special issue on news personalization and analytics

Knowledge Graph-Based Integration of Conversational Advisors and Faceted Filtering

Assessing the Utility of an Interaction Qualities Framework in Systematizing the Evaluation of User Control

Exploring Categorizations of Algorithmic Affordances in Graphical User Interfaces of Recommender Systems

Design Ideas for Recommender Systems in Flexible Education: How Algorithmic Affordances May Address Ethical Concerns

ExUM 2024 - 6th Workshop on Explainable User Modeling and Personalised Systems

Exploring the Potential of Generative AI for Augmenting Choice-Based Preference Elicitation in Recommender Systems

Second Workshop on Engineering Interactive Systems Embedding AI Technologies

Exploring the Potential of Generative AI for Augmenting Choice-Based Preference Elicitation in Recommender Systems

A Multi-perspective Panel on User-Centred Transparency, Explainability, and Controllability in Automations

Interactive Recommendation Systems

Initiative transfer in conversational recommender systems

5th Workshop on Explainable User Models and Personalised Systems (ExUM)

An Instrument for measuring users’ meta-intents

Mixed-Modality Interaction in Conversational Recommender Systems

Adaptive Circuit Dynamics Across Human Cortex During Evidence Accumulation in Changing Environments

Towards a Better Understanding of Online Influence: Differences in Twitter Communication Between Companies and Influencers

In-Store Augmented Reality-Enabled Product Comparison and Recommendation

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

A Framework for Analyzing and Calibrating Trust in Automated Vehicles

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

Welcome to EICS 2015

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

Normal Users Cooperating on Process Models: Is It Possible at All?

Supporting social tasks of individuals: A matter of access to cooperation systems

Matchballs – A multi-agent-system for ontology-based collaborative learning games

Formal modeling of multi-user interfaces in cooperative work

Enabling and Evaluating Mobile Learning Scenarios with Multiple Input Channels

3rd Workshop on Semantic Models for Adaptive Interactive Systems (SEMAIS)

Training conflict management in a collaborative virtual environment

Collaboration and Technology: 18th International Conference, CRIWG 2012 Raesfeld, Germany, September 16-19, 2012 Proceedings

Faceted Visual Exploration of Semantic Data

Semantic web meets UI: Context-adaptive interaction with semantic data

Context-adaptive interaction for collaborative work

Group context-based adaptations for recommendation

Facet Graphs: Complex Semantic Querying Made Easy

Wahrnehmung und Akzeptanz von systemgenerierten Produktempfehlungen

Adapting web sites by spreading activation in ontologies

Automatische Themenextraktion aus gesprochener Sprache

Echtzeit-Visualisierungs-Editor fuer deskriptive Verhaltensprotokolle

Brauchen Interface-Agenten Emotionen

Vorwort

Managing human-computer interaction and emerging issues

Intuitive interaction in complex informaiton spaces - Results and exploitation of INVITE

Modeling Cooperative Work Processes - A Multiple Perspectives Framework

Matrix Browser as a New Interactive Visualization for Large Networked Information Spaces

Simulating recognition errors in speech user interface prototyping

Realisierung einer laserbasierten Interaktionstechnik für Projektionswände

Intuitive human-computer interaction for a networked information world (INVITE) - Research approaches and results

Entwicklungstrends im Bereich Human-Computer Interaction

Human-Computer Interaction: Communication, Cooperation, and Application Design

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

Exploring chatbot user interfaces for mood measurement: A study of validity and user experience

Explaining Recommendations by Means of Aspect-Based Transparent Memories

Interactive Recommending with Tag-Enhanced Matrix Factorization (TagMF)

Enhancing an Interactive Recommendation System with Review-based Information Filtering

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