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CLICKS

CLICK RATINGS
May 2016 - Sep 2016
Main researcher
IIIA Collaborators
Project description

Provide to Lead Ratings with a critical study of their approach to lead scoring prediction.

The project aims to analyse the approach to the problem of predicting conversion into a website from the clickstream of anonymous users. The first objective is to study and compare Lead Ratings company's approach with the existing ones in the e-commerce  literature and in the machine learning research field. Provide a state-of-the-art of the application of machine learning to this problem. And, finally, propose improvements to the Lead Ratings's approach from the methodological and the implementation point of views.

Research Line
Probabilistic Graphical Models
Funding