Author:
Raghav Mehta and Shikha Gupta
Abstract
As Artificial Intelligence and Machine Learning is growing at a rapid rate over the past few years, so is the
amount of data increasing exponentially on the internet. Due to this people find it difficult to choose the exact
information they are looking for , learners find it difficult to suggest users exactly what they require. Here
comes Recommendation Systems into picture to guide users towards the information according to their
preferences. In context of Recommendation of Movies and TV shows on Online Streaming platforms ,this
paper is aimed to explain making and implementation of Movie Recommendation Systems Using Machine
Learning Algorithms, Sentiment Analysis and Cosine Similarity
Publisher
International Journal for Modern Trends in Science and Technology (IJMTST)
Cited by
6 articles.
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