Advertisement prediction in social media environment using big data framework

Abstract

With the development of mobile technologies and IOT devices, the world has stepped into the era of big data and social media as well. Having collected data from social media, business companies can easily understand behavior and buying patterns of the individual customers. The data is being collected via machine learning algorithms and social media platforms. A prediction mechanism is needed to process these larger data. Based on the results generated by big data framework, business companies can directly target individuals for sending advertises. In this chapter, an advertisement prediction framework has been proposed that uses prediction approaches on big data platforms. In addition, social media platforms are used to collect data that is based on user interest. The experiments has been performed on real-time data that is collected from social media platforms. The introduced framework can be served as a benchmark for business companies to send appropriate advertisement to the individuals.