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Broadcast Search and User Generated Content

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Short presentation on Broadcast Search and User Generated Content prepared by Team 6 for ENTRE521 at UW Foster School of Business

Short presentation on Broadcast Search and User Generated Content prepared by Team 6 for ENTRE521 at UW Foster School of Business

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Broadcast Search and User Generated Content Broadcast Search and User Generated Content Presentation Transcript

  • User Generated Content & Broadcast Search Team 6: Beau Raines, Jai Patel, Peter O'Donoghue, Rajan Chaudhry, Shahab Matin
  • Broadcast Search
    • Natural selection of intrinsically motivated participants
    • “ Seekers” have to carefully specify problems
    • Success criteria (expectations) must be clearly defined
    • Large number of perspective “solvers” with diverse backgrounds
    • “ Outside the box” solutions
    • Competition among Solvers drives better solutions
  • Broadcast Search through History
    • Longitude Act of 1714
      • Seeker—Queen Anne
      • Solver—John Harrison (carpenter & self taught watchmaker)
    • Sodium Carbonate from Sea Salt 1775
      • Seeker—French Academy of Sciences
      • Solver—Nicolas Leblanc (surgeon)
    • Orteig Prize 1919
      • Seeker—Ray Orteig (hotel owner)
      • Solver—Charles Lindberg (mail pilot)
    View slide
  • Issues with Broadcast Search
    • Problem
      • Seeker does not pay promised award (lost credibility)
    • Nicolas Leblanc
      • Government took factory and never paid him prize money
      • Napoleon returned factory years later but Leblanc was never able to raise enough capital to reopen it
    • Solution
      • Award decision controlled by third party with no ulterior motive
      • Well defined success criteria
    View slide
  • Issues with Broadcast Search
    • Problem
      • Who owns Intellectual Property (IP)?
    • Solution
      • Clearly state who owns IP
      • Award must consider IP rules
    • X-Prize
      • Award is much less than cost of developing solution
      • Solver keeps IP and can capitalize on innovation
  • Issues with Broadcast Search
    • Problem
      • Motivation does not match solver criteria
        • Monetary / Resources / Ability
    • Solution
      • Rules of broadcast search must provide proper motivation
      • Challenge + Monetary award + IP must be enough to attract capable Solvers
  • Netflix Prize
    • Cinematch SM : Netflix movie recommendation system
    • Prize Rules ():
      • Prediction accuracy 10% better
      • Share algorithm with everyone
      • Grant license to Netflix only
      • Grand Prize: $1,000,000 (USD) Cash
      • Progress Prizes: $50,000 (USD) Cash
    • 45161 contestants on 37099 teams from 180 different countries
    • 35926 valid submissions from 4233 different teams
      • http://www.netflixprize.com/
  • X—Prize
    • Current Challenges
      • Space (Ansari space tourism challenge)
      • Auto (Progressive 100 MPGe car)
      • Genomics (Archon—DNA sequencing)
      • Lunar (Google & Northrop Grumman Lunar Landers)
    • Future Challenges
      • Energy & Environment
      • Education & Global Development
      • Exploration
      • Life Sciences
      • http://www.youtube.com/xprize
  • User Generated Content
    • Refers to various kinds of media content, publicly available, that are produced by end-users.
    http://en.wikipedia.org/wiki/User_generated_content
  •  
  • Yelp -“Real reviews, by real people”
    • Users rate and write reviews
      • Restaurants
      • Services
      • Local Attractions
    • Social network
      • Live events
  • Mashups
    • Club and radio DJ's
      • Infrequently produced
      • Primarily non-musicians
    • Facilitated through ease of editing with computers
    • Distributed on-line
    • Potential IP issue
  • Photosynth
    • Complement to existing products
      • Still Images
      • Video
    • Connect people through experiences or interests
      • Person was there
      • Person wished they were
  • Related Topics
    • Issues
      • Quality
      • Professional versus Non-Professional
      • IP infringement
    • Web 2.0 is participatory
      • Momentum
      • Critical mass
  • Quality
    • Apply both to users and firms
      • How do I find good content?
      • How do I ensure that the content meets my standards?
    • Non-professional
    • Rating systems
      • Quality
        • Netflix people like you ratings
      • Appropriate content
    • Social networks to find “similar” users
      • Live events
  • Questions