This research aims to analyze how navigational taxonomy methods can help the recommendation systems of streaming platforms Netflix, Globoplay and Prime Video. For that defines what a media-streaming platform will be and its various typologies, presenting a brief history of the streaming, as well as showing a rapid evolution of information consumption by society and the transformation of communication technologies. We explain how algorithms can influence content recommendation systems and consequently what this implies in users' lives.Through bibliographical research on these platforms, the knowledge organization systems and the recommendation systems, it discusses how the methods of a navigational taxonomy helps the organization and the content recommendation system of the streaming platforms, helping the user in navigation and in the choice of content. It is proposed the constitution of theoretical and methodological parameters that support in the perception of how these systems are organized and that contribute with projects that involve the construction of recommendation systems in audiovisual streaming platforms.