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Smart Ads for Better User Targeting

Smart Ads for Better User Targeting
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Author(s): Albert Asmaryan (Bauman Moscow State Technical University, Russia), Alexey Levanov (Bauman Moscow State Technical University, Russia)and Irina Borovik (Bauman Moscow State Technical University, Russia)
Copyright: 2019
Pages: 9
Source title: Strategic Innovations and Interdisciplinary Perspectives in Telecommunications and Networking
Source Author(s)/Editor(s): Natarajan Meghanathan (Jackson State University, USA)
DOI: 10.4018/978-1-5225-8188-8.ch003

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Abstract

Currently, there is a problem of contextual advertising. Advertisers want to be able to clearly target the audience because user experience and revenue depend on the relevance of the displayed ads. Today's technology makes it easier not only to collect a wealth of information but also to ensure that it accurately reflects on your target audience, industry, and ad campaigns. Contextual advertising supports much of the web's ecosystem today online but not offline. The task was to develop a system prototype and scale it, which gives the ability to display advertising based on user interests in real life based on the best techniques of contextual advertising.

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