Recommendation Based Interaction

A forum that encompasses the interconnectedness of services and social media channels is developed. By allowing users to model interest-based relevant sources in Big Data, it highlights user value and bridges user needs across social media and technical content.The proposed approach built on previous user-centric Big Data implementations, which were primarily aimed at strengthening internal services through multiplatform information access and fluid content sharing. This research is focused on an interest-based architecture that allows radio listeners to navigate professional and social media information sources. The adaptive Big Data User-centric model took advantage of a versatile world that was responsive to evolving data fluxes between social networking site services.