Public tenders, complaints, machine learning and recommender systems: a case study in Public Administration

Computer Law & Security Review: The International Journal of Technology Law and Practice (KM4LAW 2022 Special Issue)

ANAC Open Data (on Google Drive, about 6 GB): https://bit.ly/3OMy8he

The "elastic_search_db" folder contains the Elastic Search database schema used for IR.
The "images" folder contains full-size figures of the article.
The "pdf" folder contains the article.
The "script" folder contains the developed code.

If you use it, please cite:

@article{NAI2023105887,
title = {Public tenders, complaints, machine learning and recommender systems: a case study in public administration},
journal = {Computer Law & Security Review},
volume = {51},
pages = {105887},
year = {2023},
issn = {0267-3649},
doi = {https://doi.org/10.1016/j.clsr.2023.105887},
url = {https://www.sciencedirect.com/science/article/pii/S0267364923000973},
author = {Roberto Nai and Rosa Meo and Gabriele Morina and Paolo Pasteris},
keywords = {Public procurement, Legal prediction, Complaint detection, Knowledge discovery, Natural language processing, Machine learning, Recommender system},
}