Bidders Recommender for Public Procurement Auctions Using Machine Learning: Data Analysis, Algorithm, and Case Study with Tenders from Spain

Recommending the identity of bidders in public procurement auctions (tenders) has a significant impact in many areas of public procurement, but it has not yet been studied in depth. A bidders recommender would be a very beneficial tool because a supplier (company) can search appropriate tenders and,...

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Veröffentlicht in:	Complexity (New York, N.Y.) N.Y.), 2020, Vol.2020 (2020), p.1-20
Hauptverfasser:	Villanueva Balsera, Joaquín M., Ortega Fernández, Francisco, Rodríguez Montequín, Vicente, García Rodríguez, Manuel J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bids Business information Case studies Data analysis Data envelopment analysis Datasets Electronic government Government purchasing Literature reviews Machine learning Open data Procurement Suppliers Transparency
Online-Zugang:	Volltext
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