Impact of the Application of Artificial Intelligence Technologies in a Content Management System of a Media

Nowadays, traditional media are experiencing a strong change. The collapse of advertising-based revenues on paper newspapers has forced publishers to concentrate efforts on optimizing the results of online newspapers published on the Web by improving content management systems. Moreover, if we put the focus on small or medium-sized media, we find the additional problem of the shortage of single users, very necessary to properly model recommendation systems that help increase the number of visits and advertising impacts. In this work, we present an approach for performing automatic recommendation form news in this hard context combining matrix factoring and semantic techniques. We have implemented our solution in a modular architecture design to give flexibility to the creation of elements that take advantage of these recommendations, and also with great monitoring possibilities. Experimental results in real environments are promising, improving outcomes regarding traffic redirection and clicks on ads.