This article is cited in 2 papers

Recommendation system based on user actions in the social network

V. V. Monastyrev, P. D. Drobintsev

Peter the Great St.Petersburg Polytechnic University

Abstract: Currently, a large number of people use various photo hosting services, social networks, online services, and so on. At the same time, users leave a lot of information about themselves on the Internet. These can be photos, comments, geotags, and so on. This information can be used to create a system that can identify different target groups of users. In the future, you can run ad campaigns based on target groups, create recommendation ads, and so on. This article will discuss a system that allows users to identify their interests based on their actions in a social network. The following features were selected for analysis: published photos and text, comments on posts, information about favorite publications, and geotags. To identify target groups, the task was to analyze images in photos and analyze text. Image analysis involves object recognition, and text analysis involves highlighting the main theme of the text and analyzing the tone of the text. The analysis data is combined using a unique identifier with the rest of the information and allows you create a data showcase that can be used to select target groups using a simple SQL-query.

Keywords: machine learning, recommendation system, natural language processing, image recognition.

Language: English

DOI: 10.15514/ISPRAS-2020-32(3)-9