I Built a Recommendation System Like YouTube and Google – Here's How!

Описание к видео I Built a Recommendation System Like YouTube and Google – Here's How!

I Built a Recommendation System Like YouTube and Google

In this video, we will explore how recommendation systems does work and how you can build your own step-by-step guide

You will learn, "How Recommendation systems internally work, what vector embeddings are?, what vector DBs are? and how to make your own recommendation system"

Recommendation systems are at the heart of personalized content delivery, and platforms like YouTube and Google use advanced algorithms to make their recommendations super relevant.

Whether you're an experienced developer or a curious learner, this guide will help you understand how to create a recomendation system that mimics the recommendation engines of the biggest platforms.

00:00 - Introduction recommendation systems
01:00 - How do recommendation Systems internally work?
07:55 - what kind of recommendation system are we building?
09:54 - coding own recommendation system

Source Code: https://github.com/sandeepdevcodes/cu...

#recomendationsystems
#backenddevelopment
#coding
#fullstack
#typescript
#nextjs
#vectorembeddings
#vectordbs
#vector
#embeddings
#voyageai
#openai
#bestpractices

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