In the present Digital Space a lot of Internet users try to come up with solutions to a particular problem by suggesting solutions that are pre-existing on the Internet. This brings down the originality of posts and we are able to overcome this problem by applying prediction models on data sets. It is important for a user to come up with original ideas to gain up votes which in turn represent the quality of a post. Due to the huge influx of data at every moment, the need for big data analytics becomes essential and hence the use of an open source framework like Hadoop is imperative so as to increase effectiveness of recommender system built on these prediction models
