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Search Based Applications - Pecha Kucha session at #IKOSG2015

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Search Based Applications - Pecha Kucha session at #IKOSG2015

  1. 1. Search Based Applications Agnes Molnar Enterprise Search Consultant, CEO Search Explained
  2. 2. Search – Content - Context Context UsersContent
  3. 3. Content I know about Content I don’t know about Useful Content Content with no Value
  4. 4. Source: http://www.domorewithsearch.com
  5. 5. Requirements Business goals Scenarios & use cases Application Lifecycle Systems to integrate User Experience Metrics Milestones Resources Experts • Internal • External • “Liaison”
  6. 6. Typical Search Process Crawling Indexing Calculating Initial Relevance Querying Presenting Results Capturing Clicks Analyzing Suggesting Tuning

Editor's Notes

  • 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
  • ×