The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias
46th European Conference on Information Retrieval Springer Glasgow, Scotland
Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendatio
ACM RecSys 2023 ACM Singapur
A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendation
Bias Workshop at ECIR'2023 Springer Dublin, Ireland
Uptrendz: API-Centric Real-Time Recommendations in Multi-Domain Settings
ECIR'2023 Springer Dublin, Ireland
Towards Employing Recommender Systems for Supporting Data and Algorithm Sharing
DataEconomy Workshop @ CoNEXT'22 Association for Computing Machinery Rome, Italy
Recommendations in a Multi-Domain Setting: Adapting for Customization, Scalability and Real-Time Performance
Industry Day at ECIR'22 Springer
What Drives Readership? An Online Study on User Interface Types and Popularity Bias Mitigation in News Article Recommendation
ECIR'22 Springer
Popularity Bias in Collaborative Filtering-Based Multimedia Recommender System
BIAS workshop at ECIR'22 Springer
My friends also prefer diverse music: homophily and link prediction with user preferences for mainstream, novelty, and diversity in music
International Conference on Advances in Social Network Analysis and Mining/MSNDS Workshop (ASONAM'2021
Robustness of Meta Matrix Factorization Against Strict Privacy Constraints
43rd European Conference on Information Retrieval ECIR Springer Lucca, Italy (online due to COVID-19)
Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering
Lecture Notes in Artificial Intelligence Springer Springer Graz
The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study
42nd European Conference on Information Retrieval ECIR Springer Lisbon, Portugal (online due to COVID-19)
Slow is Good: The Effect of Diligence on Student Performance inthe Case of an Adaptive Learning System for Health Literacy
Proceedings of the 10th International Learning Analytics & Knowledge Conference (LAK20) ACM Association for Computing Machinery Frankfurt (online due to COVID-19)
A Real-Life School Study of Confirmation Bias and Polarisation in Information Behaviou
Lecture Notes in Computer Science Springer
Analytics for Everyday Learning from two Perspectives: Knowledge Workers and Teachers.
CEUR Workshop Proceedings Angela Fessl, Stefan Thalmann, Mathieu d'Aquin, Peter Holtz, Stefan Dietze
Mitigating Confirmation Bias on Twitter by Recommending Opposing View
European Computational Social Sciences Symposium
Studying Confirmation Bias in Hashtag Usage on Twitte
European Computation Social Sciences Symposium Cologne, Germany
Neighborhood Troubles: On the Value of User Pre-Filtering ToSpeed Up and Enhance Recommendation
CIKM 2018 Workshop Proceedings Turin, Italy
AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments.
CIKM 2018 Workshop Proceedings CEUR Turin, Italy
Simulation-based Co-Creation of Algorithm
Workshop on Co-Creation in the Design, Development and Implementation of Technology-Enhanced Learning (CCTEL'2018 Springer Leeds, England
Trust-Based Collaborative Filtering: Tackling the Cold Start Problem Using Regular Equivalence
RecSys 2018 ACM Vancouver, Canada
AFEL - Analytics for Everyday Learning
Proceedings of the International Projects Track co-located with the 27th International World Wide Web Conference ACM Lyon, France
The Impact of Semantic Context Cues on the User Acceptance of Tag Recommendations: An Online Study
Companion Proceedings of the 27th International World Wide Web Conference ACM Lyon, France
Beyond Accuracy Optimization: On the Value of Item Embeddings for Student Job Recommendation
In Proceedings of the International Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization (IFUP'2018) co-located with the 11th ACM International Conference on Web Search and Data Mining WSDM'2018 ACM Los Angeles, USA
AFEL: Towards Measuring Online Activities Contributions to Self-Directed Learning
7th Workshop on Awareness and Reflection in Technology Enhanced Learning (ARTEL 2017) Kravcik M., Mikroyannidis A., Pammer-Schindler V., Prilla M. CEUR-WS Tallinn, Estonia
Overcoming the Imbalance Between Tag Recommendation Approaches and Real-World Folksonomy Structures with Cognitive-Inspired Algorithm
European Symposium on Computational Social Sciences ESCSS'2017 ACM London
Tailoring Recommendations for a Multi-Domain Environment
ACM International Conference on Recommender Systems 2017 RecSys'2017 ACM Como, Italy
The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems
International Conference on User Modeling, Adaptation and Personalization 2017 UMAP'2017 ACM Bratislava
Temporal Effects on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach
Proceedings of the 26th International World Wide Web Conference WWW'2017 ACM Perth, Western Australia
Which Algorithms Suit Which Learning Environments? A Comparative Study of Recommender Systems in TEL
European Conference on Technology Enhanced Learning EC-TEL'2016 Springer Toledo, Spain
Need Help? Recommending Social Care Institutions
Workshop on Recommender Systems and Big Data Analytics co-located with i-know 2016 conference RSBDA'16 ACM Graz
High Enough? Explaining and Predicting Traveler Satisfaction Using Airline Reviews.
27th ACM Conference on Hypertext and Hypermedia Hypertext'2016 ACM Halifax
The Influence of Frequency, Recency and Semantic Context on the Reuse of Tags in Social Tagging Systems
27th ACM Conference on Hypertext and Hypermedia Hypertext'2016 ACM Halifax
Smart booking without looking: providing hotel recommendations in the TripRebel portal
Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business i-know 2015 ACM Graz, Austria
The Social Semantic Server: A Flexible Framework to Support Informal Learning at the Workplace
In Proceedings of the 15th International Conference on Knowledge Technologies and Data-Driven Business i-know 2015 ACM Graz, Austria
ScaR: Towards a Real-Time Recommender Framework Following the Microservices Architecture
In the Large-Scale Recommender Systems Workshop (LSRS'15) at the 9th International Conference on Recommender Systems RecSys'2015 ACM Vienna, Austria
Tackling Cold-Start Users in Recommender Systems with Indoor Positioning Systems
Proceedings of 9th International Conference on Recommender Systems RecSys'2015 ACM Vienna, Austria
Evaluating Tag Recommender Algorithms in Real-World Folksonomies: A Comparative Study
Proceedings of 9th International Conference on Recommender Systems RecSys'2015 ACM Vienna, Austria
Modeling Cognitive Processes in Social Tagging to Improve Tag Recommendations
Proceedings of the 24th International Conference on World Wide Web Companion WWW'2015 ACM Florence, Italy
Attention Please! A Hybrid Resource Recommender Mimicking Attention-Interpretation Dynamics
In 24rd International World Wide Web Conference, Web-Science Track Aldo Gangemi, Stefano Leonardi and Alessandro Panconesi ACM Florence