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Search 2.0: The Next Chapter of Search

Search 2.0: The Next Chapter of Search. Gora Sudindranath Senior Solutions Consultant BCS ISRG Search Solutions, May 2007. What is Search – really?. Search is the common language between an organization and it’s customers/partners/employees.

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Search 2.0: The Next Chapter of Search

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  1. Search 2.0: The Next Chapter of Search Gora Sudindranath Senior Solutions Consultant BCS ISRG Search Solutions, May 2007

  2. 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. 2

  3. Search Greatest Value: User-centric View Search connects my world Search translates to my terms Search understands what I need Search finds what I want 3

  4. DOCUMENT EXPERT NETWORK PRODUCT ANALYTICS ANSWERS Search Creates Value by Connecting Users toEverything

  5. The 3rd Generation The Era of User-Driven Innovation Has Started User-Driven Value Creation Empowered Individual Empowered Companies Empowered Countries IT-Driven Value Creation Web 1.0 Web 2.0 Global Interactions Global Domination

  6. The New Disruption

  7. Search is at the heart of Web/Enterprise 2.0 monetization and growth Search 2.0Key points • 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

  8. Business Intelligence Built on Search SearchConnects “Front Office” The Real Value of Search Lies in Three Areas • 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

  9. SEARCHLET SEARCHLET SEARCHLET SEARCHLET SEARCHLET SEARCHLET SEARCHLET Live Featured Content Calls to Action Ads Multimedia UserGenerated SubscriptionFeeds Third-PartyContent 9

  10. >100M videos downloaded daily … but only if users can easily find them Front Office: Search IS the Portal Search Blog It! Related Video with Ads Community Tools

  11. Search IS...Intent, Aggregation, and Monetization Intent Unique Monetization Aggregation

  12. 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 12

  13. Search Connects: Search as a Tool for Social Networking within the Enterprise

  14. Aggregate Intelligence / Business Intelligence Aggregate Intelligence: a hurricane hit North America in August 2005

  15. Data Quality: Cleanse! 15

  16. Flexible Relevancy Search IS the front office Business Intelligence based on search Search Connects The common theme underlying Search 2.0 is flexible relevancy

  17. 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

  18. Business Intelligence Built on Search SearchConnects “Front Office” The Real Value of Search Lies in Three Areas • 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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