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Markus Schedl — most-cited papers & profile · Recommender Systems
← authors
·
overview
Markus Schedl
12
papers ·
22
citations ·
46
h-index
Johannes Kepler University of Linz · Private Pädagogische Hochschule der Diözese Linz · Linz Center of Mechatronics (Austria)
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Most-cited papers
The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias
2024 · 13 citations
Online Music Listening Culture of Kids and Adolescents: Listening Analysis and Music Recommendation Tailored to the Young
2019 · 5 citations
Simultaneous Unlearning of Multiple Protected User Attributes From Variational Autoencoder Recommenders Using Adversarial Training
2024 · 2 citations
ReuseKNN: Neighborhood Reuse for Differentially-Private KNN-Based Recommendations
2022 · 1 citations
Adaptive Autoguidance for Item-Side Fairness in Diffusion Recommender Systems
2026
Single-Branch Network Architectures to Close the Modality Gap in Multimodal Recommendation
2025
Unsupervised Graph Embeddings for Session-based Recommendation with Item Features
2025
The Importance of Cognitive Biases in the Recommendation Ecosystem
2024
Top co-authors
Marta Moscati
· 3
Dominik Kowald
· 2
Elisabeth Lex
· 2
Oleg Lesota
· 2
Peter M\"ullner
· 2
Stefan Brandl
· 2
Andreas Peintner
· 1
Anna Hausberger
· 1
Christian Ganh\"or
· 1
Christian Ganhör
· 1
Christine Bauer
· 1
Emilia Parada‐Cabaleiro
· 1
Topics
Collaborative Filtering
Fairness & Ethics
Ranking & CTR
LLM-based
Cold Start & Cross-Domain
Graph-based
Sequential & Session