Publications

2022

1. JIIS

   Analyzing and improving stability of matrix factorization for recommender systems

   Edoardo D’Amico, Giovanni Gabbolini, Cesare Bernardis, and 1 more author

   Journal of Intelligent Information Systems, 2022

   Bib HTML

   @article{d2022analyzing,
     title = {Analyzing and improving stability of matrix factorization for recommender systems},
     author = {D’Amico, Edoardo and Gabbolini, Giovanni and Bernardis, Cesare and Cremonesi, Paolo},
     journal = {Journal of Intelligent Information Systems},
     volume = {58},
     number = {2},
     pages = {255--285},
     year = {2022},
     publisher = {Springer}
   }

2021

1. SAC

   On the instability of embeddings for recommender systems: the case of matrix factorization

   Edoardo D’Amico*, Giovanni Gabbolini*, Cesare Bernardis, and 1 more author

   In Proceedings of the 36th Annual ACM Symposium on Applied Computing, 2021

   Bib HTML

   @inproceedings{gabbolini2021instability,
     title = {On the instability of embeddings for recommender systems: the case of matrix factorization},
     author = {D'Amico*, Edoardo and Gabbolini*, Giovanni and Bernardis, Cesare and Cremonesi, Paolo},
     booktitle = {Proceedings of the 36th Annual ACM Symposium on Applied Computing},
     pages = {1363--1370},
     year = {2021},
   }

2019

1. RecSys

   Leveraging Laziness, Browsing-Pattern Aware Stacked Models for Sequential Accommodation Learning to Rank

   Edoardo D’Amico, Giovanni Gabbolini, Daniele Montesi, and 7 more authors

   In Proceedings of the Workshop on ACM Recommender Systems Challenge, 2019

   Bib HTML

   @inproceedings{damico2019leveraging,
     author = {D'Amico, Edoardo and Gabbolini, Giovanni and Montesi, Daniele and Moreschini, Matteo and Parroni, Federico and Piccinini, Federico and Rossettini, Alberto and Introito, Alessio Russo and Bernardis, Cesare and Ferrari Dacrema, Maurizio},
     title = {Leveraging Laziness, Browsing-Pattern Aware Stacked Models for Sequential Accommodation Learning to Rank},
     year = {2019},
     isbn = {9781450376679},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     url = {https://doi.org/10.1145/3359555.3359563},
     doi = {10.1145/3359555.3359563},
     booktitle = {Proceedings of the Workshop on ACM Recommender Systems Challenge},
     articleno = {7},
     numpages = {5},
     keywords = {recommender systems, stacking ensemble, feature engineering, learning to rank, ACM RecSys challenge 2019},
     location = {Copenhagen, Denmark},
     series = {RecSys Challenge '19},
   }