Future of Recommendation Services, Personalization and Mobile - Rummble

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Presented at Future of Social Networking November 2010, describing the next generation of mobile recommendation services and personalisation. Why "friends recommendations" are flawed and the future is trust networks.

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  • Greater reach, more content
  • Long tail graph – easy example; blue i regular bookshops, red is amazon.
  • Experience driven world, customers/users crave what’s authentic
  • Future of Recommendation Services, Personalization and Mobile - Rummble

    1. 1. Presentation prepared forWorkshop on the Future of Social NetworkingCambridge University, England, 18thNovember 2010Why The Best AdviceDoes Not Always Come From Your FriendsAndrew J Scott, Founder/CEO Rummble@andrewjscott, andrew.scott@rummble.com© 2010 Rummble | Rummble is a carbon neutral company.
    2. 2. “The Best AdviceDoes Not Always ComeFrom Your Friends”Allan Moore@alansmlxl
    3. 3. Me6th3-1-1 Clive CoxCTO, Rummble
    4. 4. 1. The Probem
    5. 5. Wouldn’t it be nice to getpersonalised recommendationsfor anywhere in the worldwhich you can trustwithin just 30 seconds?
    6. 6. Most recommendationsservices are brokenA restaurant is 3/5because the food is goodbut expensive
    7. 7. Rummble tells you where you should go right nowVisionTo make the physical world aroundyou a more personalised place to be
    8. 8. Mobile is the future• Small screens• Used differently• Personal relationship• Slow
    9. 9. Rummble delivers better recommendations• Rummble learns what you like & want• No search or categories• Don’t have to connect or importyour entire social graph• Ratings are truly personalised
    10. 10. Truly PersonalisedRummbles ratings are different for each person
    11. 11. 2. How does the trust algorithm work?
    12. 12. Rummble infers trust from personal taste
    13. 13. Similar ratings = Trust (e.g. for tourist sites)
    14. 14. Diverged ratings = lack of Trust
    15. 15. You get trusted content from strangers and friends within your trust network
    16. 16. The barrier to entry of replicating your entire social graph, is removed
    17. 17. 17• combines belief• disbelief• uncertainty• bijective mapping• discounting• consensus• updating• time• real world distanceA new decision engine for recommendationsin the future…•Weather•Real world time•Events•Available transport?•Friends you’re with?• tags• places• social history• friendships& it’s scalable
    18. 18. 3. How is social software changing?
    19. 19. 19Unstructured, transient
    20. 20. 20More Clever Algorithms Needed
    21. 21. ComplexSimplePersonalisationUser interface
    22. 22. 22The Long Tail
    23. 23. The long tail of the physical world
    24. 24. More noise, less meaning
    25. 25. 25
    26. 26. 26andrew.scott@Rummble.comFounder/CEO@andrewjscottRummble.com/andrewwww.Rummble.com 40 Compton Street, London

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