Security Designs for the Cloud, IoT, and Social Networking

CHAPTER 7AUTOMATION 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: [e-mail]

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 their voice or by text or by review in simple numerical form from the device keypad. It also includes a device consisting of NFC and Arduino combined with a powerful beacon to provide a perfect IoT device to automatically authenticate the reviews with real-time updating.

Keywords: IoT, NFC, Arduino, beacons, machine learning

7.1 Introduction

The internet is a tool that has revolutionized the computer and communication world. Taking into account the impact made by the internet on education, communication, ...