Gustavo Escobedo

I am a PhD student at the Institute for Computational Perception at Johannes Kepler University Linz, Austria and researcher in the project Human-Centered AI under the supervision of Prof. Dr. Markus Schedl. My main research interests are on Debiasing and Fairness for Recommender Systems. Previously, I had applied Reinforcement Learning algorithms to introduce personalization into Session-based Recommender Systems. Also, I hold meaningful work experience in Data Science and Software Development.

Selected Publications

Making Alice Appear Like Bob: A Probabilistic Preference Obfuscation Method For Implicit Feedback Recommendation Models

Gustavo Escobedo, Marta Moscati, Peter Muellner, Simone Kopeinik, Dominik Kowald, Elisabeth Lex, and Markus Schedl

In Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part VII, 2024

Bib HTML PDF

@inproceedings{DBLP:conf/pkdd/EscobedoMMKKLS24,
  author = {Escobedo, Gustavo and Moscati, Marta and Muellner, Peter and Kopeinik, Simone and Kowald, Dominik and Lex, Elisabeth and Schedl, Markus},
  editor = {Bifet, Albert and Davis, Jesse and Krilavicius, Tomas and Kull, Meelis and Ntoutsi, Eirini and Zliobaite, Indre},
  title = {Making Alice Appear Like Bob: {A} Probabilistic Preference Obfuscation
                    Method For Implicit Feedback Recommendation Models},
  booktitle = {Machine Learning and Knowledge Discovery in Databases. Research Track
                    - European Conference, {ECML} {PKDD} 2024, Vilnius, Lithuania, September
                    9-13, 2024, Proceedings, Part {VII}},
  series = {Lecture Notes in Computer Science},
  volume = {14947},
  pages = {349--365},
  publisher = {Springer},
  year = {2024},
  url = {https://doi.org/10.1007/978-3-031-70368-3\_21},
  doi = {10.1007/978-3-031-70368-3\_21},
}