Recommendation Engine for Netflix

EasyChair Preprint 10290

Abstract

A Netflix recommendation engine is a machine learning-based system that recommends movies and TV programs based on a user's prior viewing history and preferences. This system helps users obtain content they might not have found otherwise, while also improving the user experience and increasing platform engagement. The recommendation engine uses a combination of collaborative filtering and content-based filtering methods to generate personalized recommendations. Collaborative filtering involves analyzing a user's behavior and identifying patterns of similarity between users, whereas content-based filtering involves analyzing the content's characteristics, such as genre, actors, and storyline, to recommend comparable content.

Keyphrases: Netflix, Recommendation Engine, collaborative filtering, content-based filtering, machine learning

@booklet{EasyChair:10290,
  author    = {S Sureshkumar and Harsha Vinjamuri and Vinay Gollgopu and Suryaprakash Gurakala and Tharun Padigunta},
  title     = {Recommendation Engine for Netflix},
  howpublished = {EasyChair Preprint 10290},
  year      = {EasyChair, 2023}}