The document discusses the evolution and architecture of SharePoint search, detailing its history from 2001 to the latest version in 2013. It outlines essential components such as result sources, result types, display templates, and query rules, along with enhancements in content enrichment and user behavior-based recommendations. Key takeaways highlight significant UI improvements, the need for more server resources, and the management capabilities across different search schema levels.

1. Major Sponsors Minor Sponsors

2. Agenda
History of SharePoint Search
Architecture of Search in SharePoint 2013
Search Centre
Result Sources
Result Types
Display Templates
Query Rules
Content Enrichment
Recommendations
Recap

3. 2013 Microsoft MVP Summit

4. History of SharePoint Search
There has been Search available in SharePoint
since SharePoint 2001 and all future versions.
FAST Search and Transfer Acquisition in 2008…
Two Search Product Options for SharePoint 2010
SharePoint Server 2010 Search
FAST Search Server 2010 for SharePoint
One Search Product Option for SharePoint 2013!

6. Lineage of SharePoint 2013 Search

8. Search Engine Basics
1. Connect to and crawl content
2. Process the content
3. Store the content in an index
4. Execute search queries against the
index
5. Retrieve Results
6. Display the results to the user

9. SharePoint Server 2013 Search
Architecture

10. SharePoint Server 2013 Search
Architecture

11. demonstration

13. Result Sources
Replacement for 2010 Scopes + Federated
Locations
Apply a query transform to return a corpus subset
Can be created in Service Application, Site
Collection and Site levels
Used when defining a new Search „Vertical‟
Create a new Search Results page and applying
the Result Source to it to create a search
experience

14. Result Types
Each Search Result Item is rendered differently
Each Item Uses a different Display Template
No more XSLT, use HTML and JavaScript

15. demonstration

17. Query Rules
Replaces 2010 Search Keywords
and Best Bets
Used to understand user intent
and deliver a targeted user
experience
Query Conditions  Query
Actions
Query Publishing

18. Google Examples

19. Siri Examples

20. demonstration

22. Content Search Web Part
SharePoint‟s Site Collection Boundary Problem
Uses Search as a data source to display content

23. demonstration

25. Content Enrichment Web Service
Used for Entity Extraction
Replacement to the FAST Search Document
Processing Pipeline / Processing Pipeline
Extensibility
For each item that is crawled:
- The file / properties can be passed to a web service.
- The web service contains custom code which can
create new managed properties that are stored in the
index.
Powerful for extensibility

26. Content Enrichment Web Service
You can run code against crawled data and pass
data to other systems to:
- CRM/ERP and other Line-of-business systems
- Geocoding
- OCR
- Audio and Video Transcription
- „Deep‟ Search of raw data

27. Recommendations
Analytics based recommendations
engine
Similar to –
Amazon “people who purchased
this also purchased”
LinkedIn “people who viewed this
profile also viewed”

29. Recap – Key Takeaways
One NEW Search Engine based on
FAST & SharePoint Search
Search requires more servers
Search Centre is overhauled and
improved
Significant UI enhancements –
previews
Query Builder in many places

30. Recap – Key Takeaways
Result Sources – Replaces
scopes & federated locations
Result Types – Configure
different Display Templates for
individual results
Display Templates – Define how
an item is rendered with HTML
and JS

31. Recap – Key Takeaways
Query Rules – Replaces keywords
and best bets
Intent based search experience.
When conditions of a query rule
trigger are met:
- Add promoted results
- Add result blocks
- Change Result Rank

32. Recap – Key Takeaways
Result Sources, Result
Types, Query Rules & Search
Schema can be managed at
many levels
- Search Service Application
- Site Collection
- Site

33. Recap – Key Takeaways
Content Search Web Part – Cross
Site Collection Aggregation!!!
Content Enrichment – Can be used
for property extraction - powerful
extensibility
Recommendations – Recommends
based on analysis of user behaviour

36. sharepointsezai@gmail.com
http://sharepoint-sezai-moss-
2007.blogspot.com.au
http://bing.com
http://office.com
http://something.com

37. Major Sponsors Minor Sponsors