CAIT: A Predictive Tool for Supporting the Book Market Operation Using Social Networks

In this article, doctoral student Jessie Martín together with her tutor Prof. Dra. Elisabet Golobardes and Prof. Dr. Xavier Vilasís present a new predictive support tool for the publishing industry. It consists of a combined model of Artificial Intelligence techniques (CAIT) that seeks the most optimal prediction of the number of copies of the book, finding out which is the best segmentation of the book market, using data from social networks and the web. You want to know more about this interesting topic, we invite you to read the following link:

https://www.mdpi.com/2076-3417/12/1/366