Algorithmic Predicting the Popularity of a Photography in Social Networks

Student: Andronov Vadim

Faculty: Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod)

Educational Programme: Software Engineering (Bachelor)

Year of Graduation: 2017

An enormous number of images are uploaded to the various social networks every minute. Some of them are becoming popular regarding likes received while others are not. This brings up the question: “What makes an image popular?”. This paper presents a method for automat- ically rating photographic images. In this article, informative content features that distinguish popular images are identified. These features are used to predict the normalized “like” count of the photography using machine learning techniques. A Large dataset of images from popular social network “Instagram” was used for training and testing the algorithm.

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