User experience considerations – Google Search Appliance Deployment Governance and Operational Models User Manual
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The
following
table provides an overview of features that may affect how results are displayed to users.
Feature
Comments
Source Biasing
Via pattern matching, bias one source over another.
Date Biasing
Assign more or less importance to document creation date.
Metadata Biasing
Bias documents that have specific metadata attached.
KeyMatches
Although KeyMatches are technically a suggestion feature and not part of
organic search results, you can use them to promote documents for certain
queries.
Query Expansion
Use a query expansion policy to expand search queries terms into other terms
(synonyms).
Self-Learning Scorer
When Advanced Search Reporting is enabled, the GSA uses the Self-Learning
Scorer to analyze clickstream data and promote certain search results over
time. As an example, for a given search query, if users consistently click the
second result on the page instead of the first, that result will eventually move up
to overtake the first position on the page.
Host
Crowding/Filtering
Enable the GSA to filter out any combination of:
●
Results from the same path
●
Results with duplicate titles and snippets
Ranking Framework
Specify a per-URL biasing. Take note that this is a very complex solution to
manage and should only be tried as a last resort.
Stopwords
Use stopwords to remove certain terms in the query from being used when
performing search.
Take care when using this feature as this can have wide ranging implications if
used as a solution to a particular problem.
Collections
Break content into different collections to restrict the document corpus available
to a search query.
User experience considerations
Modifications to the user experience of search can also go a long way in how your users perceive your
search deployment.
For information about some best practices for
options
relating to improving users' search experience, see
For detailed information about user experience
options,
s