Merge pull request #112929 from diberry/diberry/0427-per-fresh-april

[Cogsvcs] Personalizer - April fresh

Author: PRMerger17

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

@@ -8,7 +8,7 @@ ms.service: cognitive-services
 ms.subservice: personalizer
 ms.topic: include
 ms.custom: include file
-ms.date: 01/15/2020
+ms.date: 04/27/2020
 ms.author: diberry
 ---
 [Reference documentation](https://docs.microsoft.com/dotnet/api/Microsoft.Azure.CognitiveServices.Personalizer?view=azure-dotnet-preview) | [Library source code](https://github.com/Azure/azure-sdk-for-net/tree/master/sdk/cognitiveservices/Personalizer) | [Package (NuGet)](https://www.nuget.org/packages/Microsoft.Azure.CognitiveServices.Personalizer/) | [Samples](https://github.com/Azure-Samples/cognitive-services-personalizer-samples)
@@ -106,7 +106,7 @@ Next, create a method to return a Personalizer client. The parameter to the meth
 
 ## Get food items as rankable actions
 
-Actions represent the content choices from which you want Personalizer to select the best content item. Add the following methods to the Program class to represent the set of actions and their features.
+Actions represent the content choices from which you want Personalizer to select the best content item. Add the following methods to the Program class to represent the set of actions and their features. 
 
 [!code-csharp[Food items as actions](~/samples-personalizer/quickstarts/csharp/PersonalizerExample/Program.cs?name=createAction)]
 

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

@@ -8,7 +8,7 @@ ms.service: cognitive-services
 ms.subservice: personalizer
 ms.topic: include
 ms.custom: include file
-ms.date: 01/15/2020
+ms.date: 04/27/2020
 ms.author: diberry
 ---
 [Reference documentation](https://docs.microsoft.com/javascript/api/@azure/cognitiveservices-personalizer/?view=azure-node-latest) |[Library source code](https://github.com/Azure/azure-sdk-for-js/tree/master/sdk/cognitiveservices/cognitiveservices-personalizer) | [Package (NPM)](https://www.npmjs.com/package/@azure/cognitiveservices-personalizer) | [Samples](https://github.com/Azure-Samples/cognitive-services-personalizer-samples/blob/master/quickstarts/node/sample.js)
@@ -31,7 +31,7 @@ There are several steps to use this quickstart:
 
 [!INCLUDE [Create Azure resource for Personalizer](create-personalizer-resource.md)]
 
-[!INCLUDE [!Change model frequency](change-model-frequency.md)]
+[!INCLUDE [Change model frequency](change-model-frequency.md)]
 
 ## Create a new Node.js application
 

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

@@ -8,7 +8,7 @@ ms.service: cognitive-services
 ms.subservice: personalizer
 ms.topic: include
 ms.custom: include file
-ms.date: 01/15/2020
+ms.date: 04/27/2020
 ms.author: diberry
 ---
 [Reference documentation](https://docs.microsoft.com/python/api/azure-cognitiveservices-personalizer/azure.cognitiveservices.personalizer?view=azure-python) | [Library source code](https://github.com/Azure/azure-sdk-for-python/tree/master/sdk/cognitiveservices/azure-cognitiveservices-personalizer) | [Package (pypi)](https://pypi.org/project/azure-cognitiveservices-personalizer/) | [Samples](https://github.com/Azure-Samples/cognitive-services-personalizer-samples/blob/master/quickstarts/python/sample.py)
@@ -31,7 +31,7 @@ There are several steps to use this quickstart:
 
 [!INCLUDE [Create Azure resource for Personalizer](create-personalizer-resource.md)]
 
-[!INCLUDE [!Change model frequency](change-model-frequency.md)]
+[!INCLUDE [Change model frequency](change-model-frequency.md)]
 
 ## Install the Python library for Personalizer
 

articles/cognitive-services/personalizer/sdk-learning-loop.md

@@ -2,7 +2,7 @@
 title: "Quickstart: Create and use learning loop with SDK - Personalizer"
 description: This quickstart shows you how to create and manage your knowledge base using the client SDK.
 ms.topic: quickstart
-ms.date: 01/15/2020
+ms.date: 04/27/2020
 zone_pivot_groups: programming-languages-set-six
 ---
 
@@ -12,7 +12,7 @@ Display personalized content in this quickstart with the Personalizer service.
 
 Get started with the Personalizer client library. Follow these steps to install the package and try out the example code for basic tasks.
 
- * Rank API -  Selects the best item, from content items, based on real-time information you provide about content and context.
+ * Rank API -  Selects the best item, from actions, based on real-time information you provide about content and context.
  * Reward API - You determine the reward score based on your business needs, then send it to Personalizer with this API. That score can be a single value such as 1 for good, and 0 for bad, or an algorithm you create based on your business needs.
 
 ::: zone pivot="programming-language-csharp"

articles/cognitive-services/personalizer/tutorial-use-azure-notebook-generate-loop-data.md

@@ -8,7 +8,7 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: personalizer
 ms.topic: tutorial
-ms.date: 02/03/2020
+ms.date: 04/27/2020
 ms.author: diberry
 #Customer intent:  As a python developer, I want use Personalizer in an Azure Notebook so that I can understand the end to end lifecycle of a Personalizer loop.
 ---
@@ -293,7 +293,7 @@ def add_event_id(rankjsonobj):
 
 This function selects a unique user, weather, and time of day, then adds those items to the JSON object to send to the Rank request.
 
-The cell has no output. When the function is called it returns the random user's name, random weather, and random time of day.
+The cell has no output. When the function is called, it returns the random user's name, random weather, and random time of day.
 
 The list of 4 users and their preferences - only some preferences are shown for brevity:
 

articles/cognitive-services/personalizer/whats-new.md

@@ -8,14 +8,14 @@ services: cognitive-services
 ms.service: cognitive-services
 ms.subservice: personalizer
 ms.topic: conceptual
-ms.date: 10/14/2019
+ms.date: 03/01/2019
 ms.author: diberry
 ---
 # What's new in Personalizer
 
-Learn what's new in the service. These items may include release notes, videos, blog posts, and other types of information. Bookmark this page to keep up-to-date with the service.  
+Learn what's new in the service. These items may include release notes, videos, blog posts, and other types of information. Bookmark this page to keep up-to-date with the service.
 
-## Release notes 
+## Release notes
 
 ### March 2020