Merge pull request #114197 from HeidiSteen/heidist-master

[azure search]  embed video snippets

Author: v-shils

articles/search/index-add-scoring-profiles.md

@@ -4,29 +4,24 @@ titleSuffix: Azure Cognitive Search
 description: Boost search rank scores for Azure Cognitive Search results by adding scoring profiles.
 
 manager: nitinme
-author: Brjohnstmsft
-ms.author: brjohnst
+author: shmed
+ms.author: ramero
 ms.service: cognitive-search
 ms.topic: conceptual
-ms.date: 11/28/2019
-translation.priority.mt:
-  - "de-de"
-  - "es-es"
-  - "fr-fr"
-  - "it-it"
-  - "ja-jp"
-  - "ko-kr"
-  - "pt-br"
-  - "ru-ru"
-  - "zh-cn"
-  - "zh-tw"
+ms.date: 05/06/2020
 ---
 # Add scoring profiles to an Azure Cognitive Search index
 
 *Scoring* computes a search score for each item in a rank ordered result set. Every item in a search result set is assigned a search score, then ranked highest to lowest.
 
  Azure Cognitive Search uses default scoring to compute an initial score, but you can customize the calculation through a *scoring profile*. Scoring profiles give you greater control over the ranking of items in search results. For example, you might want to boost items based on their revenue potential, promote newer items, or perhaps boost items that have been in inventory too long.  
 
+ The following video segment fast-forwards to how scoring profiles work in Azure Cognitive Search.
+ 
+> [!VIDEO https://www.youtube.com/embed/Y_X6USgvB1g?version=3&start=463&end=970]
+
+## Scoring profile definitions
+
  A scoring profile is part of the index definition, composed of weighted fields, functions, and parameters.  
 
  To give you an idea of what a scoring profile looks like, the following example shows a simple profile named 'geo'. This one boosts items that have the search term in the **hotelName** field. It also uses the `distance` function to favor items that are within ten kilometers of the current location. If someone searches on the term 'inn', and 'inn' happens to be part of the hotel name, documents that include hotels with 'inn' within a 10 KM radius of the current location will appear higher in the search results.  

articles/search/index-similarity-and-scoring.md

@@ -54,16 +54,9 @@ Azure Cognitive Search supports two different similarity ranking algorithms: A *
 
 For now, you can specify which similarity ranking algorithm you would like to use. For more information, see [Ranking algorithm](index-ranking-similarity.md).
 
-## Watch this video
+The following video segment fast-forwards to an explanation of the ranking algorithms used in Azure Cognitive Search. You can watch the full video for more background.
 
-In this 16-minute video, software engineer Raouf Merouche explains the process of indexing, querying, and how to create scoring profiles. It gives you a good idea of what is going on under the hood as your documents are being indexed and retrieved.
-
->[!VIDEO https://channel9.msdn.com/Shows/AI-Show/Similarity-and-Scoring-in-Azure-Cognitive-Search/player]
-
-+ 2 - 3 minutes cover indexing: text processing and lexical analysis.
-+ 3 - 4 minutes cover indexing: inverted indexes.
-+ 4 - 6 minutes cover querying: retrieval and ranking.
-+ 7 - 16 minutes covers scoring profiles.
+> [!VIDEO https://www.youtube.com/embed/Y_X6USgvB1g?version=3&start=322&end=643]
 
 ## See also
 

articles/search/index.yml

@@ -31,8 +31,8 @@ landingContent:
             url: search-indexer-overview.md
       - linkListType: video
         links:
-          - text: What is Cognitive Search (1 min 27 sec)
-            url: https://channel9.msdn.com/Blogs/Azure/What-is-Azure-Search/player
+          - text: Use AI in search solutions
+            url: https://youtu.be/M4Rf1s0WcWQ?t=19
 
   # Card
   - title: Index Azure data

articles/search/search-analyzers.md

@@ -15,6 +15,11 @@ ms.date: 12/10/2019
 
 An *analyzer* is a component of the [full text search engine](search-lucene-query-architecture.md) responsible for processing text in query strings and indexed documents. Different analyzers manipulate text in different ways depending on the scenario. Language analyzers process text using linguistic rules in order to improve search quality, while other analyzers perform more basic tasks like converting characters to lower case, for example. 
 
+The following video segment fast-forwards to an explanation of how text processing works in Azure Cognitive Search.
+
+> [!VIDEO https://www.youtube.com/embed/Y_X6USgvB1g?version=3&start=132&end=189]
+
+
 Language analyzers are the most frequently used, and there is default language analyzer assigned to every searchable field in an Azure Cognitive Search index. The following language transformations are typical during text analysis:
 
 + Non-essential words (stopwords) and punctuation are removed.

articles/search/search-what-is-azure-search.md

@@ -149,11 +149,6 @@ Alternatively, you can [activate MSDN subscriber benefits](https://azure.microso
 
 Search engines are the common drivers of information retrieval in mobile apps, on the web, and in corporate data stores. Azure Cognitive Search gives you tools for creating a search experience similar to those on large commercial web sites.
 
-In this 9-minute video from program manager Liam Cavanagh, learn how integrating a search engine can benefit your app. Short demos cover key features in Azure Cognitive Search, and what a typical workflow looks like. 
-
->[!VIDEO https://channel9.msdn.com/Events/Connect/2016/138/player]
- 
-+ 0-3 minutes covers key features and use-cases.
-+ 3-4 minutes covers service provisioning. 
-+ 4-6 minutes covers Import Data wizard used to create an index using the built-in real estate dataset.
-+ 6-9 minutes covers Search explorer and various queries.
+In this 15-minute video, program manager Luis Cabrera introduces Azure Cognitive Search. 
+
+>[!VIDEO https://www.youtube.com/embed/kOJU0YZodVk?version=3]