A very fascinating lesson in how the recommendation system of Netflix, Facebook works, etc. Thank you so much CS50 staff!

Great video. I appreciate how you have explained the concept in a much comprehensible way.

Thank youuuu soon much! Such simple and detailed explanation, you can't imagine how much this helped me! It gives me the idea of 'recommendation' and their matrices Thanks again ..

Thanks for the simple explanation.

Amazing lecture. Thank you.

When i audited this course 7 years ago, i had no idea i will do ML for a living.

Thanks in a million. Awesome. Where have you been all these years.

Thank You.Explaination is so simple so anybody can easily understand.

this was 8 years ago, amazing

Great video! Very explanatory and easy to understand!

I thought your Linuz Torvalds, but thanks, great explanation!

thanks for your great and simple explanations

thanks for you, and for using simple example for understanding this topic

Thanks for simple and brief explanation.

good job...thanks for explaining in simple way :)

Thank you. It's very simple and easy to understand

Brilliant explanation!

omg I just saw this video on 2020 thanks, very clear explanation!

WHAT A SIMPLE AND PRECISE EXPLANATION....... thank YOU SIR

very excellent talk.

Great video! Congrats

A fantastic way of explaining the content. I understood the underlying concept. Thank You so much.

omg, it is an amazing lecture!

Great presentation.

Great explanation!

Thanks for sharing this video.

Linus Torvalds explaining us recommendation systems... interesting

진짜 굉장한 강의들이다 정말 하버드 진짜 만세다 ㅠㅠ

nicely done, i will implement content based since it is more reasonable in early

Scaz for president!!!

thanks for your explanation about the remcomendation 's system sir

it seems like an efficient tag system is more important than recommender algorithm

Just awesome!

Thanks sir good work👍

clear explanation. thank's

Unfortunately Netflix seem to have throw all that work away

thanks, you helped me in my GP

Can I use the matrix factorization technique for recommendation where the scenario is like I have 972 unique user and 3810 unique items and 24 unique country id. Like in a common movie recommendation ratings are there and we predict ratings and then show recommendation system. In my case I have country id instead of ratings. is it fundamentally incorrect or I can go ahead with this?

Excellent explanation! Shukran.

Thanks for your lectures. Is it code Python?

THIS man is an og explainer lol

Great explanation sir

i wold like to know what is the filed for "software engineer" to study in order to control this filed and specializes in this field ? thanks (i'm looking to hire someone at my location)

Great examples, but I really wonder. Doesn't this kind of peration take too long to run? I mean running this kind of algorithm would probably take 30ms, but considering you might have thousends of users trying to run the algorithm simultaneously, it might be a pain in the ass. Aren't there better ways to deal with it?

Thanks Really helpful

Yo after those years this lecture is so good 😱😱

very nice explanation

nice videos

Thank the Math Gods that sent you to me!

For a moment I thought he was Linus Torvalds

Where is the rest of this course ? I dont see the playlist

amazing lesson. thank you professor

Thank you sir.

How do you determine the value of k in SVD? Is stochastic gradient descent used for that or is it a completely different method?

Thank you a lot!

thanks a million for you

Thank you .

amazing, thanks

you look like young Sheldon's father

lol the CC spells boolean as "bullion"

Hi sir, can you please give me a lecture on Building Recommendation System ?

Didn't know Linus Torvalds taught CS50

Thanks Sir

thanks,for video

Thank you

Well what about the Google search engine? What kind of recommender system do they use? How do they decide the precedence of the search results for an user? Do they use content based filtering based on the search keywords, or does they use a hybrid recommender system where they first collect sites from the internet based on the search terms and then use collaborative filtering based upon all the users who have searched using the specific terms and then predict which link the user is most likely to click on based on what others have clicked on?

thank you

Hi Sir Will you provide the sample code of the video about? Thanks

thank u so much

> Want to learn about recommender system > Sees Bechdel Test > Pauses Video > Search "Why is Bechdel Test even necessary?" For 30 minutes

it helps. thanks

is it possible to apply recommender systems to Intrusion Detection Algorithms?

There must be a better way to do this...I don't identify with most of what the "big sites" recommend me. KZfaq, for example, keeps recommending me chess related videos when I've never watched anything remotely chess related as far as I know. I guess this must mean that my tastes are somehow adjacent to the subject of chess, but it sounds like the system would yield better results overall if it could somehow realize that I am not responding to that particular subject.

Lol i saw this on my reccomandation

what is the cross domain recommendations please explain it

Next week i have my exam based on recommender systems, hope i will pass...

:D

Jack Vu is here.

i came from clevered.com pre class video