search 2.0: the next chapter of search gora sudindranath senior solutions consultant bcs isrg search...
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Search 2.0: The Next Chapter of
Search
Gora SudindranathSenior Solutions Consultant
BCS ISRG Search Solutions, May 2007
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What is Search – really?
Search is the common language betweenan organization and it’s
customers/partners/employees
Search fundamentally redefines how organizations access, interact with and exploit information.
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Search connects my world
Search translates to my terms
Search understands what I need
Search finds what I want
Search Greatest Value: User-centric View
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Search Creates Value by Connecting Users toEverything
EXPERT
ANSWERS ANALYTICSNETWORK
DOCUMENT
PRODUCT
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EmpoweredCountries
EmpoweredCompanies
EmpoweredIndividual
Web 1.0 Web 2.0
GlobalDomination
Global Interactions
The Era of User-Driven Innovation
Has Started
IT-DrivenValue Creation
User-Driven Value Creation
The 3rd Generation
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The New Disruption
Old Era New Era
Value from Vertical Silos Value from Horizontal Connections
Change Agent: Business Change Agent: User
Microsoft, SAP Services + Mashups
Knowledge Management Company Blogs + Wikis
Short Head Long Tail
Open Source SW Open Source Content
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Search 2.0Key points
Search 2.0Key points
Search is at the heart of Web/Enterprise 2.0 monetization and growth
– Search technology is an engine for matching customers with communities, content and commerce items that they want and need
– Search technology encompasses recommendation, discovery, navigation, personalization and detailed customer analytics
– Search technology is the glue that brings all business models together
– Personalization and Zero-Term search is key to navigating in increasing amount of information
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Business Intelligence Built on Search
The Real Value of Search Lies in Three Areas
SearchConnects
“Front Office”
• Create new business models
• Renew and grow revenue
• Atomize information
• Monetize existing assets better
Search connects users to:
• Answers
• People
• Analytics
• Services
• Disruptive technology for the back office
• Data refinement and dynamic dimensioning provides data that is easier to find and more actionable
• Better data quality through linguistics and fuzzy match
• Extreme ad-hoc query performance
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FeaturedContent
Calls to Action
Ads
UserGenerated
Third-PartyContent
Multimedia
SubscriptionFeeds
SEARCHLET
SEARCHLET
SEARCHLET
SEARCHLET
SEARCHLET
SEARCHLET
SEARCHLET
Live
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Blog It!
Community Tools
Search
Front Office: Search IS the Portal
>100M videos downloaded daily… but only if users can easily find them
Related Video with Ads
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Mobile & Personalization
Service indicator bar
Zoo toolbar – Search, one click to Zoo WAP product homepage
Feature Panel 1 – Push content teasers based on your personalisation preferences
Feature Panel 2 – Relevant applications: Top 5 Contacts within your community
Alerts/ Missed events
15 Channels based on personal preferences and community recommendations
Nokia N70
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Aggregate Intelligence / Business Intelligence
Aggregate Intelligence: a hurricane hit North America in August 2005
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Flexible Relevancy
The common theme underlying Search 2.0 is flexible relevancy
Search IS the front officeSearch Connects
Business Intelligence
based on search
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FAST Relevancy Framework
– FAST ESP: A relevancy frameworkNot a “blackbox” relevancy model
– Robust: 12+ tunable attributesFor Example: proximity, field, keyword, freshness, business rules, authority, quality, link cardinality, geographical distance, context weights, statistics (tf-idf), degree of linguistic normalization
– FlexibleOpen and tunable framework allow you to mix attributes to create the relevancy model right for your application
Rank-Profile: A Relevancy Mixing BoardAuthority: Freshness: Proximity: Context: Body: Description URL: Keywords: Title:
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Business Intelligence Built on Search
The Real Value of Search Lies in Three Areas
SearchConnects
“Front Office”
• Create new business models
• Renew and grow revenue
• Atomize information
• Monetize existing assets better
Search connects users to:
• Answers
• People
• Analytics
• Services
• Disruptive technology for the back office
• Data refinement and dynamic dimensioning provides data that is easier to find and more actionable
• Better data quality through linguistics and fuzzy match
• Extreme ad-hoc query performance