The technological development in recent years has experienced the exponentially growth of the digital universe, part of this digital universe lies stored in cloud storage systems. With each day, more of these systems come out, offering data storage in a distributed manner with the proposal to provide high availability rate, what has driven more and more users who have migrated your data to the cloud. However, the large amount of files stored in these systems makes it difficult to filter relevant content, requiring time and labor by the user in searching for files with similar content to your preferences. Face of this scenario, this study proposes a model for recommendation of files in cloud storage systems, which aims to use cloud features associated with the technique of content-based recommendation