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Video Sharing Propagation in Social Web using Cross Network

Author(s):

Reshma Totare , AISSM'S IOIT; Priyanka Lad, AISSM'S IOIT; Namita Khavale, AISSM'S IOIT; Kunal Patil, AISSM'S IOIT; Usha Yelwande, AISSM'S IOIT

Keywords:

Empirical Bayes, Variational Methods, Probabilistic Graphical Models, Automatic Image Annotation, Image Retrieval

Abstract

The rapid exploration of various social media networks have changed the way how video contents are created, used, distributed and consumed in sharing portals. Nowadays, online videos can be accessed from beyond the internal mechanism of the video sharing portals, such as internal search and front page highlight. Nowadays marketing the you tube video at various networking sites are became a trend and it is very useful for increasing the popularity of video among viewers. In this paper, we implemented a cross-network collaborative application among you tube and twitter. By using common user of both sites we tried to advertise a video by optimal advertiser (celebrity with same domain of video) for the particular video which we get from the twitter. The person (followee) with maximum followers in the twitter is optimal followee for the video which having same domain as the person. For example; the person with sport background having maximum followers are suitable for sports videos.

Other Details

Paper ID: IJSRDV5I50528
Published in: Volume : 5, Issue : 5
Publication Date: 01/08/2017
Page(s): 322-324

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