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1.
Search Based Applications
Agnes Molnar
Enterprise Search Consultant, CEO
Search Explained
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2.
Search – Content - Context
Context
UsersContent
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3.
Content
I know about
Content
I don’t know about
Useful Content
Content with
no Value
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4.
Source: http://www.domorewithsearch.com
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5.
Requirements
Business goals
Scenarios & use
cases
Application
Lifecycle
Systems to
integrate
User Experience Metrics
Milestones Resources
Experts
• Internal
• External
• “Liaison”
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6.
Typical Search Process
Crawling Indexing
Calculating
Initial Relevance
Querying
Presenting
Results
Capturing Clicks
Analyzing Suggesting Tuning
Context: Business models & goals, corporate culture, resources
[Where information is used]
Content: Document types Objects, structure, attributes, Meta-information
[How to describe the information]
Users: Information needs, audience types, expertise, tasks
[How to Use the Information]
Red – Search
Green – Discovery
Blue – Mess
Yellow – I don’t care
Ranking?
Search Verticals?
Scroll… switch page… scroll… switch page…
Targeting?
Even internet search engines do it better… - User Targeting
We have to do some magic
Even some UI Customization can help
Data is driven by search – concept is good, but needs “something”
UI enhancements
UX is important!! – Users are VISUAL
Search-driven page
Combining various components
No query
Targeted to the current user
Provides information for the first sight
Diagrams, charts, maps…
Search driven data dashboards
Metadata is the key
Good IA with good metadata = good search = good SBAs
Math and science behind search (and good findability!!) is complex!
AND usually UNDERESTIMATED
Governance is needed
No way to avoid
Plan, implement, revise
Summary: Search is like Gardening