Recommendation System for Interest based Interactivity through Cross Platform using Big Data

Author(s):

Srikantha Gowda R , Sapthagiri college of engineering; Pavithra N, Sapthagiri College of Engineering; Sheikh Moin, Sapthagiri College of Engineering; Pavithra N., Sapthagiri College of Engineering

Keywords:

Interactivity, Interest Based, Cross Platform, Big Data Repository, User Experience

Abstract:

Interest-based interactivity as a key component for enhancing user experience, given the ubiquity of social media. Interest based interactivity modeling in a cross plat form Big Data repository is extracted from user interaction. The purpose of this study is two things: first, addressing theoretical dilemmas of a cross plat form user experience; second, implementing a platform to provide user interest based recommendations across different social networks. Use case is based on interest based cross-platform navigation and filtering content across multiple streams of social content. The streams consisted of tags from content on social media through a process of discovery. The application was tested on a stream of social media content to create a Big Data scenario.

Other Details:

Manuscript Id	:	IJSTEV5I11007
Published in	:	Volume : 5, Issue : 11
Publication Date	:	01/06/2019
Page(s)	:	31-34

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