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Best practices, Search experience best practices, Checklist of best practices – Google Search Appliance Creating the Search Experience User Manual

Page 31: Chapter 2

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Google Search Appliance: Creating the Search Experience

31

Chapter 2

Best Practices

Chapter 2

The Google Search Appliance has features that enable system administrators to enhance the search
experience for end users. This chapter describes how system administrators can follow best practices
to improve end-users searches.

Search Experience Best Practices

A Google Search Appliance can begin serving relevant results as soon as it has an index. By serving
relevant results, the search appliance ensures a positive search experience for your users. However,
you, as a search appliance administrator, can use the best practices and search appliance features
described in this document to personalize or enhance the search experience for users.

Checklist of Best Practices

Use the following table as a best practices checklist. For each best practice, the table identifies the
search appliance feature or resource to use, with a reference to the relevant section in this document.

Best Practice

Feature or Resource to Use

Reference

Export and analyze data about user
clicks

Advanced search
reporting

“Gathering Information about the
Search Experience” on page 35

Enable end users to create email
alerts for topics of interest

Alerts

“Providing Alerts for End Users” on
page 72

Prevent click-jacking web attacks

Click-Jacking defense

“Enabling/Disabling Click-Jacking
Defense” on page 67

Divide the search index into
meaningful partitions

Collections

“Segmenting Data in the Search
Index” on page 83

Show thumbnail images of
documents in search results

Document preview
module

“Providing Document Previews” on
page 79

Help user explore search results by
using specific metadata attributes

Dynamic navigation

“Using Dynamic Navigation to Help
Users Explore Results” on page 47

Allow users to choose results by
topic

Dynamic result clusters

“Using Dynamic Result Clusters to
Narrow Searches” on page 45