Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Sign up for free
Menu
Search
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Features
All features
Private URLs
Password Protection
Custom URLS
Scheduled publishing
Remove Branding
Restrict embedding
Deck Collections
Notes
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Explore
Featured decks
Featured speakers
Programming
Technology
Storyboards
Pricing
Search
Sign in
Sign up for free
ML-004 From Facebook| Movies Recommendation Cas...
Search
_luay
September 15, 2018
Programming
37
0
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
ML-004 From Facebook| Movies Recommendation Case Study 🎬
_luay
September 15, 2018
More Decks by _luay
See All by _luay
The Triumph Of Side Projects - Vol 1👨💻| Intro
_luay
0
39
The Triumph Of Side Projects - Vol 1👨💻| Starting Manual
_luay
0
26
Intel-Meetup.pdf
_luay
0
44
Egyptian Geeks Meetup 🇪🇬| Different Types Of Bean Bags 💼🦄🦓
_luay
0
44
ML-003 From Facebook| Neural Nets In A Nutshell
_luay
0
26
ML-002 From Facebook| AI In A Nutshull 🤖
_luay
0
35
Zewil University Event| The AI Landscape 🤖
_luay
0
51
ML-001 From Facebook| Into The AI Context 🤖
_luay
0
27
Careers Summit 2018 🇪🇬
_luay
0
29
Other Decks in Programming
See All in Programming
Apple Intelligence を用いた個人情報誤送信防止、及びユーザーリクエスト体験の改善について
yukiny
0
350
コードで差別化できない時代の ソフトウェアエンジニアリング / Software Engineering in an Era Where Code Doesn’t Differentiate
kishida
2
180
TechTown - Creating Composable Callables in Contemporary C++
rollbear
0
130
npm との違いを手がかりにGo の依存管理を理解したい
optim
0
310
残高管理から台帳サービスへの進化
artoy
1
200
AIで開発が速くなった先で、開発チームは何を目指すか
shihochan
0
1k
Everything will be SERVERLESS — 信じて運用した10年の経験値 / Everything Will be Serverless — Lessons Learned from 10 Years of Operational Experience
seike460
PRO
1
1.1k
KiroのSpecで「五目並べ」を作ってみる
satoshi256kbyte
1
380
AI主導のプログラミング学習アプリを作ってみた
econanringo
0
180
Railsバージョンを4倍にした話
optim
0
350
Web Framework Benchmark Battle 2026, Any%
a_matsuda
2
2k
なぜCTOを降りてFDEを選んだのか?〜なぜプロダクト企業がFDEで顧客の現場に踏み込むのか〜
gonta
1
210
Featured
See All Featured
Bash Introduction
62gerente
615
220k
How to train your dragon (web standard)
notwaldorf
96
6.9k
Code Review Best Practice
trishagee
74
20k
JAMstack: Web Apps at Ludicrous Speed - All Things Open 2022
reverentgeek
1
640
More Than Pixels: Becoming A User Experience Designer
marktimemedia
3
560
Distributed Sagas: A Protocol for Coordinating Microservices
caitiem20
333
23k
Tips & Tricks on How to Get Your First Job In Tech
honzajavorek
1
800
Building an army of robots
kneath
307
47k
The Spectacular Lies of Maps
axbom
PRO
1
1.1k
Getting science done with accelerated Python computing platforms
jacobtomlinson
2
540
Dealing with People You Can't Stand - Big Design 2015
cassininazir
367
27k
Building Adaptive Systems
keathley
44
3.2k
Transcript
None
None
None
None
None
None
None
None
None
How can we make this smart?
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
None
Content Based Deep Learning Recommendation System
Is deeper better ?
None
None
None
None
None
None
None
None
None
None
References
https://medium.com/@james_aka_yale/the-4-recommendation-engines-that-can- predict-your-movie-tastes-bbec857b8223
https://www.youtube.com/watch?v=ZspR5PZemcs
https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/ 45530.pdf
https://medium.com/netflix-techblog/artwork-personalization-c589f074ad76
None