ExcelR_Assignment---Recommendation-System---Assignment---10

Recommendation System :

A recommendation system is a type of data filtering tool using machine learning algorithms to recommend the most relevant items to a particular user or customer. It operates on the principle of finding patterns in consumer behaviour data, which can be collected implicitly or explicitly.

Netflix uses a recommendation system to present viewers with movie and show suggestions. Amazon, on the other hand, uses a recommendation system to present customers with product recommendations. While each use one for slightly different purposes, both have the same goal to drive sales, boost engagement and retention, and deliver more personalized customer experiences.

Types of recommendation Systems :

1. Collaborative filtering
2. Content-based filtering
3. Hybrid model

This assignment will study following Question :

Problem statement - Build a recommender system by using cosine simillarties score (book.csv)