Smarter share point kc user group fast presentation march 2015
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Presentation used in conjunction with live demo of FAST Search for SharePoint 2010 and SharePoint 2013 Enterprise Search
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Semelhante a Smarter share point kc user group fast presentation march 2015
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Smarter share point kc user group fast presentation march 2015
- 1. FAST Search for SharePoint 2010 March 2015 Kyle Bodenstab MCITP SharePoint 2010 Database Administrator Jack Henry & Associates
- 2. SharePoint 2010 Search Products • SharePoint Foundation • SharePoint Server 2010 • FAST Search Server 2010 for SharePoint
- 3. SharePoint 2010 Search Products • SharePoint Foundation − SharePoint site search within a single farm
- 4. SharePoint 2010 Search Products • SharePoint Server 2010 − All the features of Foundation, plus − Shallow refinement − Taxonomy tags − Crawl external farms, Windows File Shares, Exchange Public Folders, LOB apps, structured content in DBs, etc. − 100 million item index capability
- 5. SharePoint 2010 Search Products • FAST Search Server 2010 for SharePoint − All the features of Foundation and Server, plus − Contextual search − Deep refinement − Thumbnails, Previews, and Visual Search − Advanced linguistics − Social tags and people search − Document promotion/demotion − Search driven applications − 500 million to 1 billion item index capable
- 6. What does this mean to users? • FAST can: − Deliver results that are relevant − Search in the language of the business − Tune results to improve accuracy − Provide a single platform for indexing and presenting all content in the enterprise, not just SharePoint content
- 7. FAST Terms • Metadata • (Content) Processing • (Content) Extraction
- 8. FAST Terms • Metadata − Is essential to the success of SharePoint search whether it be FAST or Server − Manual metadata is unreliable and costly − Poor metadata leads to poor findability
- 9. FAST Terms • FAST Content Processing − Is designed as a pipeline that performs: − Format conversion − Language encoding and detection − Tokenization − Lemmatization − Property extraction − Vectorization − Date/Time Normalization − Custom processing − Property mapping
- 10. FAST Terms • FAST Content Extraction − Recognize and deliver entities from unstructured content such as: − People, companies, locations (shallow refiners) − Modified date, result type, language (deep refiners) − Dictionaries (custom deep refiners); − Business and industry specific concepts − Customer names, competitor names − Employee titles and expertise − Product names − Project names
- 11. FAST Terms • FAST Content Processing term definitions − Language encoding and detection – looks at the language of the content so appropriate dictionaries can be applied downstream − Tokenization – breaks text into rules regarding punctuation, diacritics, accents, compound words, phrases, etc. − Lemmatization – applies linguistic normalization to content so users queries match documents that contain words and phrases in either canonical or inflected forms (singular/plural, masculine/feminine) ie, mice would also find mouse. − Property extraction – recognizing entities such as companies, people, locations, etc within content − Vectorization – creates document vectors based on the weighting of phrase/terms based on frequency of occurrence – find documents similar to this one result − Date/Time Normalization – converts date/times to standard representation ie 24-Mar-11 is the same as March 24, 2011 − Custom processing – extend content processing with custom dictionaries − Property mapping – manages the metadata discovered in the pipeline to the index managed properties
- 12. SharePoint Search • Default Ranking − URL Depth – Higher ranking based on shorter URL. − Doc Rank – Higher ranking based on the number and relative importance of links pointing to an item. − Site Rank – Higher ranking based on the number and relative importance of links pointing to the items on a site. − HW Boost – Placeholder used for generic usage of static rank points
- 13. Search Results • Dynamic Ranking − Freshness – Higher ranking based on age of content. Content just added is given more points than content that is older. − Context – Higher ranking based on the search word hits in the content. − Proximity – Higher ranking based on a short distance between query terms in the content. − Managed Property – Higher ranking based on content of a specific item type defined by a managed property. − Authority – Higher ranking when the query terms are included in the link text. − Query Authority (Click-through) – Higher ranking when query terms are associated with previous query results and clicked search results.
- 14. How Do Users Find Content? • Site Structure • Library Structure • SharePoint Search
- 15. Demo
- 16. Site Structure • Plan your site collection and sub-sites • Consider splitting off projects to their own sites • Keep things clean!
- 17. Library Structure • Plan your libraries • Consider using multiple shallow libraries vs a single deep library • Plan and use metadata tagging • Keep things clean!
- 18. SharePoint 2013 Enterprise Search • New search capabilities in SP2013: − Single search result center − Search user interface improvements − Hover preview of document results − Results based by type – document, people, sites, etc. − Results block of similar content − Accurate query suggestions − Relevance improvements − New ranking models − Query rules − Changes in crawling − Continuous crawls − Results removal from crawl logs
- 19. SharePoint 2013 Enterprise Search • New search capabilities in SP2013 (continued): − Discovering structure and entities in unstructured content − Configure the crawler to look for entities such as product names within the body or title of content. − Create custom dictionaries as an entity − Removal of redundant information – menu, headers, boilerplate content − More flexible search schema − Refinable and sortable managed properties − Multiple search schemas − Search health reports
- 20. SharePoint 2013 Enterprise Search • New search capabilities in SP2013 (continued): − New search architecture
- 21. Questions Contact information: Kyle Bodenstab, MCITP kbodenstab@jackhenry.com LinkedIn - www.linkedin.com/in/KyleBodenstab Twitter - @jackson_curve For the lighter side of life – jacksoncurve.blogspot.com