no code implementations • 6 Aug 2023 • Hanif Emamgholizadeh, Amra Delic, Francesco Ricci
To this end, the aim of this paper is to validate the research hypothesis that, by using a machine learning approach and a data set of observed group choices, it is possible to predict a group's final choice, better than by using a standard preference aggregation strategy.
2 code implementations • 9 Nov 2022 • Ivan Donadello, Chiara Di Francescomarino, Fabrizio Maria Maggi, Francesco Ricci, Aladdin Shikhizada
Such encoded log is used to train a Machine Learning classifier to learn a mapping between the temporal patterns and the outcome of a process execution.
no code implementations • 10 Aug 2022 • Shoujin Wang, Xiuzhen Zhang, Yan Wang, Huan Liu, Francesco Ricci
However, researchers lack a systematic overview and discussion of the literature in this novel and fast developing field of TRSs.
no code implementations • 29 Mar 2022 • Stefano Branchi, Chiara Di Francescomarino, Chiara Ghidini, David Massimo, Francesco Ricci, Massimiliano Ronzani
The rise of process data availability has recently led to the development of data-driven learning approaches.
1 code implementation • 13 May 2021 • Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu
Recent years have witnessed the fast development of the emerging topic of Graph Learning based Recommender Systems (GLRS).
no code implementations • 22 Apr 2020 • Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet Orgun, Longbing Cao, Nan Wang, Francesco Ricci, Philip S. Yu
Recent years have witnessed the fast development of the emerging topic of Graph Learning based Recommender Systems (GLRS).