Smart Ads for Better User Targeting

A. Asmaryan, A. Levanov, Irina Borovik
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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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智能广告,更好地定位用户
目前,语境广告存在一个问题。广告商希望能够清楚地定位受众,因为用户体验和收入取决于所显示广告的相关性。今天的技术不仅使收集丰富的信息变得更容易,而且还确保它准确地反映了你的目标受众、行业和广告活动。上下文广告支持当今网络生态系统的大部分内容——在线,但不支持离线。任务是开发一个系统原型并对其进行扩展,使其能够根据现实生活中基于上下文广告的最佳技术的用户兴趣显示广告。
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