From b44ed7175266172aa45bb84920506569bd671a82 Mon Sep 17 00:00:00 2001
From: Shashwat Pandey <36895314+shashwat1225@users.noreply.github.com>
Date: Tue, 5 Mar 2024 00:33:14 -0800
Subject: [PATCH] Update mlsd-video-recom.md

Changed "eb" to "be" in line 87
---
 src/MLSD/mlsd-video-recom.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/MLSD/mlsd-video-recom.md b/src/MLSD/mlsd-video-recom.md
index f99221b..aafbd85 100644
--- a/src/MLSD/mlsd-video-recom.md
+++ b/src/MLSD/mlsd-video-recom.md
@@ -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