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Targeted advertising using behavioural data and social data mining

机译:使用行为数据和社交数据挖掘进行定向广告

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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.
机译:社交网络的爆炸性增长导致客户喜好和喜好的可用性大大提高。可以利用这些数据更好地为客户提供服务,并向他们提供他们希望看到的广告。为了向消费者提供相关的广告,人们还必须考虑消费者的位置。如果显示给他们的报价可在附近区域轻松获得,则消费者会感到非常满足。在本文中,我们提出了一个模型,该模型结合了社交和空间数据的概念来提供有针对性的广告。通过用户的Facebook个人资料获取社交数据,并在信标的帮助下找到用户的位置。

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