Recommender system based on OSN data analytics

Abstract

The pace at which the technology is playing a role in our lives is tremendous whether it is about keeping connected to each other or knowing what is going around the world. Nowadays, people consider technology very important when it comes to taking decisions of their lives be it about buying a product, booking a hotel, etc., or doing anything else. Before any of these tasks, people love to read the reviews of other people who are either closer to them or have similar tastes to them. People also do not like to get bumped up with unnecessary and irrelevant data. In our work, we have proposed a recommender system based on online social networks. We have tried our best to find out the ways to provide attractive and relevant recommendations to users based on the tweets/comments of the users on the online social networking sites.