Introduction to Recommendation System

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We introduce you to the big world of recommendation systems. We cover what they are, why they are important, and how they work. We also go over how and why big companies like Amazon, Netflix, Pandora, and YouTube rely on them to serve you the most relevant content.

In a nutshell, recommender systems are really automated systems to filter some entities. These entities could be products, people, ads, movies, or songs. It uses user preference to predict items the system thinks the user will like.

Table of Contents:
0:00 – Intro
0:36 – What is a recommender?
2:04 – How does it work?
2:35 – Cold start problem
3:00 – Examples
3:40 – Conclusion

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Комментарии
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I like it when the teacher teaches like that. Great lesson.

willzo
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The recommendation system of YouTube works well as this video was shown in my timeline. It really helps.

taktak
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so how do i find the mentioned next video?

MrJoeDone
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it's sometimes kinda scary that I've just thought of something and ads will pop up, when I neither have inputted it on any device nor said it out loud.... hmmm, maybe with the previous searches I did but it's uncannily accurate lol

monfreign
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Good intro. Could you cover the topics for Artificial Neural Network, CNN, deeplearning, SVM algo and other machine learning algos

rittikabose
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I don't like these Information Filtering Systems. How am I supposed to know the parameters of the filter and how it changes if it isn't a user adjustable feature? The guidelines for the filters is not an optional feature for the user, which creates an experience that lacks typical user control.

lrocky
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People who already DISLIKE advertisement companies and it's actions are NOT WAITING at all to be thrown inside deep algorithms. PRIVACY is what counts.

dutchpy