Recommender System with Machine Learning and Artificial Intelligence

4Concepts of Recommendation System from the Perspective of Machine Learning

Sumanta Chandra Mishra Sharma*, Adway Mitra and Deepayan Chakraborty

Centre of Excellence in Artificial Intelligence, IIT Kharagpur, Kharagpur, India

Abstract

Recommendation systems evolved as an independent research area in the last decade of the twentieth century. With the popularity of the internet and online services, the number of internet users increases gradually. So, to predict the customer’s need and to suggest the relevant information to the customer, companies use different information filtering mechanism. Such information filtering mechanism is called the recommendation system [1, 2]. It is a software module that predicts the user’s choice based on the past data of the user or related data of similar users. It helps the companies to boost their business and get customer satisfaction towards their product and services [1, 3].

This chapter deals with different concepts and challenges of recommendation systems, and how artificial intelligence and machine learning can be used for them. The chapter mainly focuses on the concepts and techniques used by the recommendation system for better suggestion. It also contains the challenges and applications or recommendation system.

Keywords: Recommendation system, content-based system, collaborative filtering, hybrid recommendation

4.1 Introduction

Have you ever thought of how social media gives a new friendly suggestion? Why online shopping sites suggest ...