Augmenting Firm Diversification Behavior Prediction with Graph Embeddings
Resumen
Public procurement plays a crucial role in modern economies, serving not only as a mechanism to acquire public goods, services, and works, but also as a policy tool to foster innovation and development. This chapter uses graph embeddings and machine learning to predict firms’ competitiveness in securing contracts by activity sector, extending activity and technological diversification methods to public procurement markets.
Publicación
In Complex Networks & Their Applications XIV, Studies in Computational Intelligence 1265, Springer
Cristian Candia
Profesor Asociado y Director de CRiSS-LAB, Facultad de Ingeniería y Facultad de Gobierno, Universidad del Desarrollo, Chile.
Mis intereses de investigación incluyen IA aplicada, ciencias sociales computacionales, ciencia de redes, inteligencia colectiva, convivencia escolar, inteligencia de decisiones y analítica de negocios.
