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Update mlsd-video-recom.md #12

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2 changes: 1 addition & 1 deletion src/MLSD/mlsd-video-recom.md
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Expand Up @@ -84,7 +84,7 @@ The main approaches used for personalized recommendation systems:
What do we choose?
We choose a sequential hybrid model (standard e.g. for video recommendation)

We follow the three stage recommender system (funnel architecture) in order to meet latency requirements and eb able to scale the system to billions of items.
We follow the three stage recommender system (funnel architecture) in order to meet latency requirements and be able to scale the system to billions of items.

```mermaid
Candidate generation --> Ranking --> Re-ranking
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