IMAGE RECOMMENDATION IN SOCIAL NETWORKS USING SOCIO RECOMMEND FRAMEWORK

admin August 21, 2020

Authors:

Vasam Srinivas,Ch. Sidhartha,D. Kothandaraman,

DOI NO:

https://doi.org/10.26782/jmcms.2020.08.00026

Keywords:

Attention aspect,Hit ratio,Cumulative Gain,

Abstract

One of the major social networking services provided by the social network these days is image recommendation. As day to day trend is increasing, knowing the user preferences and recommending the images have become urgent need in social network. Earlier recommendation models or frameworks were done by considering upload history of the user and interests. Most of the previous models were not considering other factors like reaction to the image, admiration to the image, sharing, reporting the image and so on. This paper, proposes a new socio recommend framework by considering the above factors using aspect importance attention (AIAM) model which improve the recommendation of the images, which keeps users engaged with social networking app.

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