Understanding Users-Contents Interaction in Non-Linear Multimedia Streaming Services

Nowadays, the non-linear multimedia services, such as Netflix and YouTube, have become increasingly popular. In this scenario, the users deciding what, where and when to consume the contents. This behavioral change led the content-producing companies outsource tasks related to video distribution to content-management companies, which are specialized in managing video streaming in high quality. These companies are also responsible to provide a more qualified feedback about the user behaviors in order to help content-producing companies to produce more attractive contents. In this paper we present a methodology for characterizing and analyzing multimedia streaming services. We validate it using actual data from Samba Tech, a content-management company leader in Latin American. The results showed that there are many possibilities to improve both the quality of the content and the system administration.