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Fighting Choice Overload: Using Recommender Systems 
for a Better Experience - EuroIA2012, Rome

Judit Pónya
September 29, 2012

Fighting Choice Overload: Using Recommender Systems 
for a Better Experience - EuroIA2012, Rome

Judit Pónya

September 29, 2012
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  1. Fighting Choice Overload Using Recommender Systems for a Better Experience

    Pónya Judit FatDUX Budapest EuroIA 2012, Rome September 29, 2012.
  2. Judit Pónya @ptxster

  3. find search

  4. ! !

  5. Aspects ▪ Recommendation instead of “word-of-mouth”

  6. Aspects ▪ Recommendation instead of “word-of-mouth” ▪ Personalization as users

    have different preferences and goals
  7. Aspects ▪ Recommendation instead of “word-of-mouth” ▪ Personalization as users

    have different preferences and goals ▪ Content discovery Help users to find good or useful things without specifically searching for them
  8. Aspects ▪ Recommendation instead of “word-of-mouth” ▪ Personalization as users

    have different preferences and goals ▪ Content discovery Help users to find good or useful things without specifically searching for them ▪ Fighting choice overload Choosing from many alternatives is not an easy task... Don’t let your users give up!
  9. When Choice is Demotivating: Can One Desire Too Much of

    a Good Thing? Iyengar, S. S., & Lepper, M.
  10. 3% 30% When Choice is Demotivating: Can One Desire Too

    Much of a Good Thing? Iyengar, S. S., & Lepper, M.
  11. on shelf! tasting booth

  12. None
  13. Don’t let them give up! ▪make it less work to

    find things ▪provide some solution as soon as possible ▪make it easier to choose
  14. 1. The human touch

  15. Business Control & Analytics Knowledge Base User Interface Knowledge Processing

    Application
  16. User Interface Business Control & Analytics Knowledge Base Processing Francisco

    J. Martin (Strands), RecSys2009
  17. 2. Focus on content

  18. Characteristics of an item Build profile for each item/user based

    on their properties item
  19. Change the focus item !

  20. User Behavior Looking for clues to understand preferences & intent

  21. 3. Focus on interaction

  22. “YouTube Comes To A 5-Star Realization: Its Ratings Are Useless”

    1 2 3 4 5 http://techcrunch.com/2009/09/22/youtube-comes-to-a-5-star-realization-its-ratings-are-useless/
  23. Events ▪ 1-5 star rating each user would rate only

    a very small portion of all items
  24. Events ▪ 1-5 star rating implicit feedback each user would

    rate only a very small portion of all items ▪ View page. ▪ Read article for 1-5 minutes. ▪ Come back to page. ▪ Put to cart. ▪ Buy.
  25. Don’t make me work.

  26. Cold start problem oh, wait....

  27. Indi Young http://www.flickr.com/photos/indiyoung/7889928594 I spent like 40 minutes rating movies

    for Netflix a while ago. When I asked for suggestions, I got this message. Wow, it made my heart drop. I invested all that time, and my preferences were not something Netflix seemed to care about.
  28. " Data # Data Processing $ Control % UI

  29. Knowledge Base Data quality and quantity matters.

  30. Knowledge Processing Application several algorithms in use ▪build model based

    on data ▪make predictions using the model
  31. Business Control

  32. User Interface

  33. Business Control & Analytics

  34. How will itt appear on the user interface? ▪placement ▪visual

    design ▪good title, giving some explanation
  35. Number of recommendations

  36. Number of recommendations choosability Stefano Bussolon, EuroIA2011

  37. What’s the dealbreaker? item #3278 item #6723 item #5195 item

    #4981
  38. Don’t let it slow down your system! system performance response

    time (milliseconds) Will it handle millions of recommendation request? Do you have a fallback solution?
  39. Widgets & other uses newsletters ▪personalized content ▪target special user

    group site search ▪modify ranking ?
  40. User Interface Business Control & Analytics Knowledge Base Processing Francisco

    J. Martin (Strands), RecSys2009
  41. Don’t let them give up! ▪make it less work to

    find things ▪provide some solution as soon as possible ▪make it easier to choose
  42. Judit Pónya @ptxster jponya@fatdux.com www.fatdux.com Köszönöm!

  43. None