Recommendation Based Interaction - G. K., Dr. Suhas;Pareek, Dr. Piyush Kumar;Nandihal, Dr. Priya
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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…mehr

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Produktbeschreibung
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.
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Autorenporträt
Dr.Suhas G KShridevi Institute of Engineering and Technology,TumkurDr. Piyush Kumar Pareek, Dept. of Computer Science & Engineering,Nitte Meenakshi Institute of Technology, Yelahanka, Bengaluru Dr.Priya Nandihal Dayananda Sagar Academy of Technology and Management.