Marta Moscati

I am a physicist turned computer scientist, currently a PhD student at the Multimedia Mining and Search Group of the Johannes Kepler University Linz, Austria.

My (current) fields of research are recommender systems and music information retrieval. I have a PhD in theoretical particle physics.

I love understanding and discussing maths and science. I have a passion for music and books. I enjoy doing sports. I have a thing for languages.

selected publications

Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation

Marta Moscati, Christian Wallmann, Markus Reiter-Haas, Dominik Kowald, Elisabeth Lex, and Markus Schedl

In Proc. of ACM RecSys, 2023

Bib

@inproceedings{Moscati2023actr_cf_music,
  title = {Integrating the ACT-R Framework with Collaborative Filtering for Explainable Sequential Music Recommendation},
  author = {Moscati, Marta and Wallmann, Christian and Reiter-Haas, Markus and Kowald, Dominik and Lex, Elisabeth and Schedl, Markus},
  booktitle = {Proc. of ACM RecSys},
  location = {Singapore},
  year = {2023},
  key = {value}
}

Multiobjective Hyperparameter Optimization of Recommender Systems

Marta Moscati, Yashar Deldjoo, Giulio Davide Carparelli, and Markus Schedl

In Proc. of Perspectives – ACM RecSys, 2023

Bib

@inproceedings{Moscati2023MultiObjectiveHyperOpt,
  title = {Multiobjective Hyperparameter Optimization of Recommender Systems},
  author = {Moscati, Marta and Deldjoo, Yashar and Carparelli, Giulio Davide and Schedl, Markus},
  booktitle = {Proc. of Perspectives -- ACM RecSys},
  location = {Singapore},
  year = {2023},
  key = {value}
}

Music4All-Onion – A Large-Scale Multi-Faceted Content-Centric Music Recommendation Dataset

Marta Moscati, Emilia Parada-Cabaleiro, Yashar Deldjoo, Eva Zangerle, and Markus Schedl

In Proc. of CIKM, 2022

Bib

@inproceedings{onion,
  author = {Moscati, Marta and Parada-Cabaleiro, Emilia and Deldjoo, Yashar and Zangerle, Eva and Schedl, Markus},
  title = {Music4All-Onion -- A Large-Scale Multi-Faceted Content-Centric Music Recommendation Dataset},
  year = {2022},
  booktitle = {Proc. of CIKM},
  pages = {4339–4343},
  numpages = {5},
  key = {value}
}

Unsupervised Graph Embeddings for Session-based Recommendation with Item Features

Andreas Peintner, Marta Moscati, Emilia Parada-Cabaleiro, Markus Schedl, and Eva Zangerle

In Proc. of CARS – ACM RecSys, 2022

Bib

@inproceedings{peintner:cars:2022,
  author = {Peintner, Andreas and Moscati, Marta and Parada-Cabaleiro, Emilia and Schedl, Markus and Zangerle, Eva},
  booktitle = {Proc. of CARS -- ACM RecSys},
  title = {Unsupervised Graph Embeddings for Session-based Recommendation with Item Features},
  year = {2022},
  key = {value}
}