Merge pull request #114309 from nidafarooqui/patch-1

Fix grammar errors

Author: Court72

articles/ai-services/personalizer/what-is-personalizer.md

@@ -51,7 +51,7 @@ Personalizer empowers you to take advantage of the power and flexibility of rein
 
 The **Rank** [API](https://westus2.dev.cognitive.microsoft.com/docs/services/personalizer-api/operations/Rank) is called by your application each time there's a decision to be made. The application sends a JSON containing a set of actions, features that describe each action, and features that describe the current context. Each Rank API call is known as an **event** and noted with a unique _event ID_. Personalizer then returns the ID of the best action that maximizes the total average reward as determined by the underlying model. 
 
-The **Reward** [API](https://westus2.dev.cognitive.microsoft.com/docs/services/personalizer-api/operations/Reward) is called by your application whenever there's feedback that can help Personalizer learn if the action ID returned in the *Rank* call provided value. For example, if a user clicked on the suggested news article, or completed the purchase of a suggested product. A call to then Reward API can be in real-time (just after the Rank call is made) or delayed to better fit the needs of the scenario. The reward score is determined your business metrics and objectives, and can be generated by an algorithm or rules in your application. The score is a real-valued number between 0 and 1. 
+The **Reward** [API](https://westus2.dev.cognitive.microsoft.com/docs/services/personalizer-api/operations/Reward) is called by your application whenever there's feedback that can help Personalizer learn if the action ID returned in the *Rank* call provided value. For example, if a user clicked on the suggested news article, or completed the purchase of a suggested product. A call to the Reward API can be in real-time (just after the Rank call is made) or delayed to better fit the needs of the scenario. The reward score is determined by your business metrics and objectives and can be generated by an algorithm or rules in your application. The score is a real-valued number between 0 and 1. 
 
 ###  Learning modes
 
@@ -82,7 +82,7 @@ Use Personalizer when your scenario has:
 * A limited set of actions or items to select from in each personalization event. We recommend no more than ~50 actions in each Rank API call. If you have a larger set of possible actions, we suggest [using a recommendation engine](where-can-you-use-personalizer.md#how-to-use-personalizer-with-a-recommendation-solution) or another mechanism to reduce the list of actions prior to calling the Rank API. 
 * Information describing the actions (_action features_).
 * Information describing the current context (_contextual features_).
-* Sufficient data volume to enable Personalizer to learn. In general, we recommend a minimum of ~1,000 events per day to enable Personalizer learn effectively. If Personalizer doesn't receive sufficient data, the service takes longer to determine the best actions. 
+* Sufficient data volume to enable Personalizer to learn. In general, we recommend a minimum of ~1,000 events per day to enable Personalizer to learn effectively. If Personalizer doesn't receive sufficient data, the service takes longer to determine the best actions. 
 
 ## Responsible use of AI