The Content Blaster is a recommendation system of online content. The system allows to display relevant content in different end-systems, from TV/STBs to digital photo-frames, with only little user interaction (instead of proactive content search the user just needs to rate the content that is being shown). With Content Blaster API, recommendations can now be anywhere, be it on a smartphone, a set-top-box, a flat panel display on a waiting room or any other internet capable device, adapting recommendations to a modern lifestyle.
Author: Paulo Pereira
Type: MSc thesis
Partner: Faculdade de Engenharia da Universidade do Porto