Bidders Recommender for Public Procurement Auctions Using Machine Learning: Data Analysis, Algorithm, and Case Study with Tenders from Spain
Joint Authors
Ortega Fernández, Francisco
García Rodríguez, Manuel J.
Rodríguez Montequín, Vicente
Villanueva Balsera, Joaquín M.
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-25
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
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, vice versa, a public procurement agency can discover automatically unknown companies which are suitable for its tender.
This paper develops a pioneering algorithm to recommend potential bidders using a machine learning method, particularly a random forest classifier.
The bidders recommender is described theoretically, so it can be implemented or adapted to any particular situation.
It has been successfully validated with a case study: an actual Spanish tender dataset (free public information) which has 102,087 tenders from 2014 to 2020 and a company dataset (nonfree public information) which has 1,353,213 Spanish companies.
Quantitative, graphical, and statistical descriptions of both datasets are presented.
The results of the case study were satisfactory: the winning bidding company is within the recommended companies group, from 24% to 38% of the tenders, according to different test conditions and scenarios.
American Psychological Association (APA)
García Rodríguez, Manuel J.& Rodríguez Montequín, Vicente& Ortega Fernández, Francisco& Villanueva Balsera, Joaquín M.. 2020. Bidders Recommender for Public Procurement Auctions Using Machine Learning: Data Analysis, Algorithm, and Case Study with Tenders from Spain. Complexity،Vol. 2020, no. 2020, pp.1-20.
https://search.emarefa.net/detail/BIM-1144941
Modern Language Association (MLA)
García Rodríguez, Manuel J.…[et al.]. Bidders Recommender for Public Procurement Auctions Using Machine Learning: Data Analysis, Algorithm, and Case Study with Tenders from Spain. Complexity No. 2020 (2020), pp.1-20.
https://search.emarefa.net/detail/BIM-1144941
American Medical Association (AMA)
García Rodríguez, Manuel J.& Rodríguez Montequín, Vicente& Ortega Fernández, Francisco& Villanueva Balsera, Joaquín M.. Bidders Recommender for Public Procurement Auctions Using Machine Learning: Data Analysis, Algorithm, and Case Study with Tenders from Spain. Complexity. 2020. Vol. 2020, no. 2020, pp.1-20.
https://search.emarefa.net/detail/BIM-1144941
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1144941