Digital Identity Based Recommendation System Using Social Media

Over the last decade social media platforms such as Facebook and Twitter have gained huge popularity. Usage of social media sites has increased leaps and bounds. An organization or institute can make use of the data obtained from various such social networking sites to their benefit. Digital Identity created by any person/customer on such sites can be targeted by the organization or institute for promoting their services as well as to target some new customers, thus providing them new business opportunities. Thus it can be a win-win situation for both the parties - the organization gets opportunity to increase their business footprint and the customers may be more than happy with the personalized offers from the organization. In this paper, we propose a method to understand customer's likings using public APIs made available by the social network sites such as Twitter and Facebook. As there is huge concern regarding privacy of data on social media, we have used only the data made available publicly by these platforms without using any unethical tools or methods.