Interest Based Interactivity Through Cross Platform in Big Data

Authors

  • Iqbal Ansari Department of Computer Science, East West Institute of Technology, Bengaluru, India
  • Sunil Ghimire Department of Computer Science, East West Institute of Technology, Bengaluru, India
  • Subash Chaudhary Department of Computer Science, East West Institute of Technology, Bengaluru, India
  • Anoop N Prasad Department of Computer Science, East West Institute of Technology, Bengaluru, India

Keywords:

Cross platform, Data security, Big Data

Abstract

Given the ubiquity of social media, interest-based interactivity as a main element to intensify user experience. Interest-based relevance modeling is taken out from user influence in multiple-platform social network Big Data container. The main goal of this work is to implement a platform for providing recommendation across different social network based on user interest. The streams consisted of tags from social media content through a discovery process and the application is tested on social media content streams to generate a Big Data scenario.

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Published

2025-11-26

How to Cite

[1]
I. Ansari, S. Ghimire, S. Chaudhary, and A. N. Prasad, “Interest Based Interactivity Through Cross Platform in Big Data”, Int. J. Comp. Sci. Eng., vol. 7, no. 15, pp. 208–212, Nov. 2025.