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.
5. What we give to search engines
What most search engines see
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come
contrastive
customize
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fs14
how
optimizing
our
relevance (3)
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Author: victor
poznanski
Title:
conf
relevancy
sharepoint
Date:
9.4.9
Type:
ppt
Authority: 6
Anchor: SPC
presentation
…
6.
7.
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}
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
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
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
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...