CHAPTER 7
AUTOMATION MOVIE RECOMMENDER SYSTEM BASED ON INTERNET OF THINGS AND CLUSTERING
LALIT MOHAN GOYAL1, MAMTA MITTAL2, ASHEESH SHARMA3
1Department of Computer Engineering, J. C. Bose University of Science and Technology, YMCA, Faridabad, India
2Department of Computer Science and Engineering, G. B. Pant Engineering College, New Delhi, India
3Edfora Infotech Private Limited, New Delhi, India
Email: [email protected]
Abstract
This chapter discusses an intricate movie genre recommender engine based on K-means clustering combined with a powerful Pearson correlation similarity measure. This system takes basic information from users, asks them to enter a rating for movies and uses machine learning algorithms to provide a recommended genre. It also makes it possible to quickly predict movie ratings based on the user’s choices. It gives the user a real-time review of the movie from those who have just watched it by calculating the polarity using sentiment analysis either via...