Machine Learning Techniques for Customer Behaviour Predictions

Starting date
March 20, 2019
Duration (months)
12
Departments
Computer Science
Managers or local contacts
Sala Pietro

This research agreement has as its main goal the full implementation (study, devilment, and testing)
of a prototype that integrates well-known machine learning methodologies (e.g., collaborative filtering, pro- cess mining, temporal association rules mining, and so on)
for predicting the behaviour of customers from logs representing their interactions with the CRM software VTENext (https://www.vtenext.com).

Sponsors:

CRMVILLAGE.BIZ s.r.l.
Funds: assigned and managed by the department

Project participants

Pietro Sala
Temporary Assistant Professor
Research areas involved in the project
Sistemi informativi
Data management systems
Sistemi informativi
Information systems applications

Activities

Research facilities