Publications available as full-text PDF about Recommender Systems by Jürgen Ziegler

Published in 2023

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

Published in 2022

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

Towards Multi-Method Support for Product Search and Recommending

Published in 2021

Mixed-Modality Interaction in Conversational Recommender Systems

Published in 2020

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

In-Store Augmented Reality-Enabled Product Comparison and Recommendation

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

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

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

Published in 2019

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

Towards Interactive Recommending in Model-based Collaborative Filtering Systems

How Can They Know That? A Study of Factors Affecting the Creepiness of 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

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

The Influence of Trust Cues on the Trustworthiness of Online Reviews for Recommendations

Interactive Recommending with Tag-Enhanced Matrix Factorization (TagMF)

Published in 2018

Impact of Item Consumption on Assessment of Recommendations in User Studies

Designing Interactive Visualizations of Personalized Review Data for a Hotel Recommender System

Recommending Running Routes: Framework and Demonstrator

Understanding Latent Factors Using a GWAP

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

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

Explaining Recommendations by Means of User Reviews

Published in 2017

Towards a Design Space for Personalizing the Presentation of Recommendations

Sequential User-based Recurrent Neural Network Recommendations

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

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

User Model Dimensions for Personalizing the Presentation of Recommendations

Enhancing an Interactive Recommendation System with Review-based Information Filtering

On User Awareness in Model-Based Collaborative Filtering Systems

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

Published in 2016

Interactive Recommending: Framework, State of Research and Future Challenges

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

Tag-Enhanced Collaborative Filtering for Increasing Transparency and Interactive Control

Published in 2015

Merging Latent Factors and Tags to Increase Interactive Control of Recommendations

3D-Visualisierung zur Eingabe von Präferenzen in Empfehlungssystemen

Blended Recommending: Integrating Interactive Information Filtering and Algorithmic Recommender Techniques

Published in 2014

MyMovieMixer: Ein hybrider Recommender mit visuellem Bedienkonzept

Choice-based Preference Elicitation for Collaborative Filtering Recommender Systems

Published in 2013

Published in 2010

A framework and an architecture for context-aware group recommendations

Published in 2009

Context-aware Recommendations on Rails

Published in 2008

Adapting web sites by spreading activation in ontologies

Published in 2007

Context-adaption based on ontologies and spreading activation

By research topic

  • Recommender Systems

By team member

  • Jürgen Ziegler

By feature

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