Targeted advertising using behavioural data and social data mining

V. Bhatia, V. Hasija
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引用次数: 7

Abstract

The explosive growth of social networks has led to prolific availability in customer tastes and preferences. This data can be exploited to serve the customers better and offer them the advertisements they would be delighted to see. To provide relevant advertisements to consumers, one has to consider the location of the consumer as well. The consumers will be highly contented if the offers shown to them are easily accessible in nearby areas. In this paper, we propose a model combining the idea of social and spatial data to provide targeted advertisements. Social data is acquired through user's Facebook profile and location of the user is found with the help of Beacons.
使用行为数据和社会数据挖掘的定向广告
社交网络的爆炸式增长导致了客户品味和偏好的丰富可用性。这些数据可以被用来更好地为客户服务,并为他们提供他们乐于看到的广告。要向消费者提供相关的广告,还必须考虑消费者所处的位置。如果向消费者展示的商品在附近地区很容易买到,消费者就会非常满意。在本文中,我们提出了一个结合社会数据和空间数据的模型来提供有针对性的广告。社交数据是通过用户的Facebook个人资料获取的,用户的位置是在Beacons的帮助下找到的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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