Everything you always wanted to know about SharePoint 2013 Search relevance
Download as PPTX, PDF3 likes1,943 views
The document discusses options for configuring search in SharePoint to improve relevance, including query rules, thesaurus, dynamic reordering rules, authorities, and ranking models. It provides examples of using each option to refine search results for specific queries. The options allow driving relevance through phrase-based, historical, and curated matches, as well as rewriting the user's query.
Everything you always wanted to know about SharePoint 2013 Search relevance
- 2. Work at RealDolmen SharePoint Server MVP since 2005 www.biwug.be http://jopx.blogspot.com
- 4. Challenges with search Configuration options to drive relevance Query rules Thesaurus Dynamic reordering rules Authorities Ranking models
- 5. What we give to search engines What most search engines see 1234 away come contrastive customize for fs14 how optimizing our relevance (3) should simple some ss14 techniques view (2) what when with you Author: victor poznanski Title: conf relevancy sharepoint Date: 9.4.9 Type: ppt Authority: 6 Anchor: SPC presentation …
- 8. Find what you’re looking for with intelligent results tailored to you Get answers and take action with an experience that’s always a step ahead Build smarter/nocode applications that can scale for any need or business requirement
- 9. Query: BT network quarterly report Search Web Part (WORDS BT, British Telecom) AND (WORDS network, networks, networked) AND (WORDS quarterly, quarterlies) AND (WORDS report, reports, reported) Query Processing Thesaurus: BT British Telecom Best bets: BT Network …/BTN.htm Dynamic Reordering Rules: Quarterly Report {prefer docs from http://reports} Query Rule: {Terms} Quarterly Report {Terms} ContentType=“reports” Mixed Results for: • BT Network best bet • BT network quarterly report • BT network ContentType=reports Engine Document Collection For all queries: Authorities: Level 1: http://networks Ranking model: {incorporate user ratings}
- 11. Challenges with search Configuration options to drive relevance Query rules Thesaurus Dynamic reordering rules Authorities Ranking models
- 13. PHRASE-BASED MATCHES • Exact match, beginning or end • Ad-hoc or term store dictionary HISTORICAL (LOG-BASED) MATCHES • Is this query more likely aimed at the following source…? CURATED (BEST BET) • Show a promoted result REFORMULATE THE USER QUERY • Show a block of results • Replace the core results with a different query
- 14. 14
- 15. Challenges with search Configuration options to drive relevance Query rules Thesaurus Dynamic reordering rules Authorities Ranking models
- 17. Import…
- 19. 19
- 20. Challenges with search Configuration options to drive relevance Query rules Thesaurus Dynamic reordering rules Authorities Ranking models
- 21. Dynamic Rules let you reorder results according to a set of criteria They are configured as part of a query Result actions let you promote or demote results that match
- 22. Result Conditions Result Actions Manual condition looks like a query Promote up or demote down
- 24. 24
- 25. Challenges with search Configuration options to drive relevance Query rules Thesaurus Dynamic reordering rules Authorities Ranking models
- 27. Setting an authority affects all sites connected through hyperlinks Sites are weighted by distance to the authority 27
- 28. 1 1 0 28
- 29. 1 0 Non-authorities do not affect connected sites 29
- 30. Challenges with search Configuration options to drive relevance Query rules Thesaurus Dynamic reordering rules Authorities Ranking models
- 31. Query: Ian Monthly Title=“XBOX Monthly report” Type=ppt Activity=2M clicks Author=Ian Rankem Rating = 5 ωrating 31 Transform (normalization)
- 34. 34
- 36. 36
Editor's Notes
- #13: Query rules capture the users search intent, help drive the correct results for what the user is looking forReplaces search keywords/best bets in 2010Create query rules at different levels -> farm, site collection and siteShow result block query rule for MOSS,SPF
- #33: Based on number of occurences of a query in the text fields of a document, each field gets a certain weight and different weights are being normalized using as specific normalization algorithm...