In any Machine learning process, the most important asset is DATA to learn from. Data can be text, images, video, or anything that can be used for any supervised learning. In order to predict the data point of each label, we always consider taking labeled data.
Semi-supervised learning is an approach to machine learning that combines a small amount of labeled data with a large amount of unlabeled data during training.
Thousands of people on the internet share their experiences and choices so, collecting information about any topic has become easy.
Our Movie recommendation system called as ViewFlix, searches for the information on the internet by providing individualized recommendations. This framework proposes stream-based recommendations where the synopsis of each movie is taken as data like directors, actors, writers, etc, which helps to understand the preferences of users.