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Recommendation Based Interaction: Recommendation Based Interactivity through Multiple Platforms in Big Data - Priya Nandihal,Piyush Kumar Pareek,Suhas G. K.

Anglų
2022-03-22
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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 ... Visas aprašymas

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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 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.

Daugiau informacijos

Autorius Priya Nandihal, Piyush Kumar Pareek, Suhas G. K.
Leidėjas LAP LAMBERT Academic Publishing
Išleidimo metai 2022
Viršelio tipas Minkšti viršeliai
EAN 9786139459339
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65,74 € 87,65 €