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Author: diberry

articles/cognitive-services/personalizer/includes/quickstart-sdk-csharp.md

@@ -94,7 +94,7 @@ To ask for a rank of the content, create a [RankRequest](https://docs.microsoft.
 
 To send a reward to Personalizer, create a [RewardRequest](https://docs.microsoft.com/dotnet/api/microsoft.azure.cognitiveservices.personalizer.models.rewardrequest?view=azure-dotnet-preview), then pass it to the [client.Reward](https://docs.microsoft.com/dotnet/api/microsoft.azure.cognitiveservices.personalizer.personalizerclientextensions.reward?view=azure-dotnet-preview) method.
 
-Determining the reward, in this quickstart is trivial. In a production system, the determination of what impacts the [reward score](concept-rewards.md) and by how much can be a complex process, that you may decide to change over time. This design decision should be one of the primary decisions in your Personalizer architecture.
+Determining the reward, in this quickstart is trivial. In a production system, the determination of what impacts the [reward score](../concept-rewards.md) and by how much can be a complex process, that you may decide to change over time. This design decision should be one of the primary decisions in your Personalizer architecture.
 
 ## Code examples
 
@@ -159,15 +159,15 @@ Add the following methods, which [get the content choices](#get-food-items-as-ra
 
 To complete the rank request, the program asks the user's preferences to create a `currentContent` of the content choices. The process can create content to exclude from the rank, shown as `excludeActions`. The rank request needs the actions, currentContext, excludeActions, and a unique rank event ID (as a GUID), to receive the ranked response.
 
-This quickstart has simple context features of time of day and user food preference. In production systems, determining and [evaluating](concept-feature-evaluation.md) [actions and features](concepts-features.md) can be a non-trivial matter.
+This quickstart has simple context features of time of day and user food preference. In production systems, determining and [evaluating](../concept-feature-evaluation.md) [actions and features](../concepts-features.md) can be a non-trivial matter.
 
 [!code-csharp[The Personalizer learning loop ranks the request.](~/samples-personalizer/quickstarts/csharp/PersonalizerExample/Program.cs?name=rank)]
 
 ## Send a reward
 
 To complete the reward request, the program gets the user's selection from the command line, assigns a numeric value to each selection, then sends the unique rank event ID and the numeric value to the reward method.
 
-This quickstart assigns a simple number as a reward, either a zero or a 1. In production systems, determining when and what to send to the [reward](concept-rewards.md) call can be a non-trivial matter, depending on your specific needs.
+This quickstart assigns a simple number as a reward, either a zero or a 1. In production systems, determining when and what to send to the [reward](../concept-rewards.md) call can be a non-trivial matter, depending on your specific needs.
 
 [!code-csharp[The Personalizer learning loop ranks the request.](~/samples-personalizer/quickstarts/csharp/PersonalizerExample/Program.cs?name=reward)]
 

articles/cognitive-services/personalizer/includes/quickstart-sdk-nodejs.md

@@ -146,17 +146,17 @@ Add the following methods, which [get the content choices](#get-content-choices-
 
 ## Request a rank
 
-To complete the rank request, the program asks the user's preferences to create content choices. The process can create content to exclude from the rank, shown as `excludeActions`. The rank request needs the [actions](concepts-features.md#actions-represent-a-list-of-options), currentContext, excludeActions, and a unique rank event ID (as a GUID), to receive the ranked response.
+To complete the rank request, the program asks the user's preferences to create content choices. The process can create content to exclude from the rank, shown as `excludeActions`. The rank request needs the [actions](../concepts-features.md#actions-represent-a-list-of-options), currentContext, excludeActions, and a unique rank event ID (as a GUID), to receive the ranked response.
 
-This quickstart has simple context features of time of day and user food preference. In production systems, determining and [evaluating](concept-feature-evaluation.md) [actions and features](concepts-features.md) can be a non-trivial matter.
+This quickstart has simple context features of time of day and user food preference. In production systems, determining and [evaluating](../concept-feature-evaluation.md) [actions and features](../concepts-features.md) can be a non-trivial matter.
 
 [!code-javascript[The Personalizer learning loop ranks the request.](~/samples-personalizer/quickstarts/node/sample.js?name=rank)]
 
 ## Send a reward
 
 To complete the reward request, the program gets the user's selection from the command line, assigns a numeric value to each selection, then sends the unique rank event ID and the numeric value to the reward method.
 
-This quickstart assigns a simple number as a reward, either a zero or a 1. In production systems, determining when and what to send to the [reward](concept-rewards.md) call can be a non-trivial matter, depending on your specific needs.
+This quickstart assigns a simple number as a reward, either a zero or a 1. In production systems, determining when and what to send to the [reward](../concept-rewards.md) call can be a non-trivial matter, depending on your specific needs.
 
 [!code-javascript[The Personalizer learning loop sends a reward.](~/samples-personalizer/quickstarts/node/sample.js?name=reward)]
 

articles/cognitive-services/personalizer/includes/quickstart-sdk-python.md

@@ -69,7 +69,7 @@ To ask for a rank of the content, create a RankRequest, then pass it to client.R
 
 To send a reward to Personalizer, create a RewardRequest, then pass it to the client.Reward method.
 
-Determining the reward, in this quickstart is trivial. In a production system, the determination of what impacts the [reward score](concept-rewards.md) and by how much can be a complex process, that you may decide to change over time. This should be one of the primary design decisions in your Personalizer architecture.
+Determining the reward, in this quickstart is trivial. In a production system, the determination of what impacts the [reward score](../concept-rewards.md) and by how much can be a complex process, that you may decide to change over time. This should be one of the primary design decisions in your Personalizer architecture.
 
 ## Code examples
 
@@ -133,15 +133,15 @@ Add the following methods, which [get the content choices](#get-content-choices-
 
 To complete the rank request, the program asks the user's preferences to create a `currentContent` of the content choices. The process can create content to exclude from the rank, shown as `excludeActions`. The rank request needs the actions, currentContext, excludeActions, and a unique rank event ID (as a GUID), to receive the ranked response.
 
-This quickstart has simple context features of time of day and user food preference. In production systems, determining and [evaluating](concept-feature-evaluation.md) [actions and features](concepts-features.md) can be a non-trivial matter.
+This quickstart has simple context features of time of day and user food preference. In production systems, determining and [evaluating](../concept-feature-evaluation.md) [actions and features](../concepts-features.md) can be a non-trivial matter.
 
 [!code-python[The Personalizer learning loop ranks the request.](~/samples-personalizer/quickstarts/python/sample.py?name=rank)]
 
 ## Send a reward
 
 To complete the reward request, the program gets the user's selection from the command line, assigns a numeric value to each selection, then sends the unique rank event ID and the numeric value to the reward method.
 
-This quickstart assigns a simple number as a reward, either a zero or a 1. In production systems, determining when and what to send to the [reward](concept-rewards.md) call can be a non-trivial matter, depending on your specific needs.
+This quickstart assigns a simple number as a reward, either a zero or a 1. In production systems, determining when and what to send to the [reward](../concept-rewards.md) call can be a non-trivial matter, depending on your specific needs.
 
 [!code-python[The Personalizer learning loop sends a reward.](~/samples-personalizer/quickstarts/python/sample.py?name=reward&highlight=9)]