Scholar
Gustavo Escobedo
Google Scholar ID: NwgcyoIAAAAJ
Johannes Kepler University Linz
Citations & Impact
Citations
21
H-index
3
i10-index
1
Publications
10
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Publications:
- - 'Making Alice Appear Like Bob: A Probabilistic Preference Obfuscation Method For Implicit Feedback Recommendation Models', ECML PKDD 2024
- - 'Debiasing Implicit Feedback Recommenders via Sliced Wasserstein Distance-based Regularization', ACM Conference on Recommender Systems 2025
- - 'Mitigating Latent User Biases in Pre-trained VAE Recommendation Models via On-demand Input Space Transformation', ACM Conference on Recommender Systems 2025
Research Experience
- Researcher in the project Human-Centered AI.
Education
- PhD student at the Institute for Computational Perception at Johannes Kepler University Linz, Austria, under the supervision of Prof. Dr. Markus Schedl.
Background
- Research interests include debiasing and fairness for recommender systems. Previously, applied reinforcement learning algorithms to introduce personalization into session-based recommender systems. Holds meaningful work experience in data science and software development.
Co-authors