What is an AI Recommendation Engine?

Recommendation engines are a crucial part of our online experience, suggesting products, videos, and content that we might like. But have you ever wondered how they work? In this video, Martin Keen takes a deep dive into the world of recommendation engines, exploring the intersection of machine learning and personalization. From collaborative filtering to content-based filtering, to the benefits & challenges of AI recommendation engines, discover how machine learning powers the personalized experiences we love.

[SathishKumar-exhr]

bro this is the best video so far in simply explaining this concept! breaking it down in number points was extremely helpful!!

[NeelRastogi]

Here's an explicit signal for you :) "Well done - good summary"!!

[yibing]

This video help me so much because I’m working on to design a recommendation system 😂

[hmaina]

I came here with an expectation and I wasn't disappointed.

[Jorn-syho]

I brought my recommendation algorithm to this video in the hope it recommends more of it in the future. Very interesting developments!

[learnbydoingwithsteven]

I tried to understand if I made no action, how YouTube could suggest new kind of videos to me. I have done some experiments and expect to do more in the future.

[ErickHensz]

What can I add to my videos that the algorithm would put out my videos to move people?

[antwanwimberly]

A baseline data base query

Data changes by the second

If you always pull the data live and ignore CQRS then ur good😂