Recommendation System
Tai Wei
Table of Contents
- Bullet One
- Bullet Two
- Bullet Three
- Architecture
- Feature Store (數據中台)
- Candidate Layer
- Ranking Layer
- Reinforcement Learning
Architecture
Candidate Layer
Candidate Layer
- Inverted-index according to Tag-based feature
- CF
- Followers + subscribed topics
Ranking Layer
Ranking Layer
- Model of YouTube
- Harmonic Mean of Time + Like
- According to CTR
Ranking Layer: Model of YouTube
Reinforcement Learning
- Use Multi-armed Bandit
- Reward: engagement of articles
- Action: Choose which model
Multi-armed Bandit
- Explore
- Exploit
Architecture
Architecture
推薦系統
User Requests
Feature Store (中台)
deck
By davidtnfsh
