Pinterest's AI Recommender, Pixie, Boosts User Engagement by 50 ...
Goal
Pinterest developed Pixie, a scalable graph-based real-time recommender system, to address the challenge of providing personalized recommendations from over 3 billion items to 200+ million users in real-time. The system was created to improve user engagement and overcome limitations of traditional recommendation systems that struggle with large-scale, real-time personalization.
Methodology
![How to reach new customers with a Pinterest business account](https://birdeye.com/blog/wp-content/uploads/Feature-image-The-complete-guide-to-Pinterest-business-account.jpg)
Key findings
![Analysing Pinterest's Personalised Pin Recommendation Algorithm](https://i.ytimg.com/vi/uTANY2mrTIs/maxresdefault.jpg)
Recommendations
Implications
![Scaling the Instagram Explore recommendations system - Engineering](https://engineering.fb.com/wp-content/uploads/2023/08/Instagram-Explore-Ranking_HERO.png)
Alternative perspectives
AI predictions
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