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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.

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  2. Judit Pónya
    @ptxster

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  3. find
    search

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  4. ! !

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

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

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  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

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  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!

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  9. When Choice is Demotivating: Can One Desire Too Much of a Good Thing? Iyengar, S. S., & Lepper, M.

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

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  11. on shelf!
    tasting
    booth

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  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

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  14. 1.
    The human touch

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

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  16. User Interface
    Business
    Control &
    Analytics
    Knowledge Base
    Processing
    Francisco J. Martin (Strands), RecSys2009

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  17. 2. Focus
    on content

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

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  19. Change the focus
    item
    !

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

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  21. 3. Focus
    on interaction

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  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/

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  23. Events
    ■ 1-5 star rating
    each user would rate
    only a very small portion
    of all items

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  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.

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  25. Don’t make me work.

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

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  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.

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  28. " Data
    # Data Processing
    $
    Control
    % UI

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  29. Knowledge Base
    Data quality and
    quantity matters.

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  30. Knowledge Processing Application
    several algorithms in use
    ■build model based on data
    ■make predictions using
    the model

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  31. Business Control

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  32. User Interface

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  33. Business Control & Analytics

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  34. How will itt appear
    on the user interface?
    ■placement
    ■visual design
    ■good title, giving some explanation

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  35. Number of recommendations

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  36. Number of recommendations
    choosability
    Stefano Bussolon, EuroIA2011

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  37. What’s the dealbreaker?
    item
    #3278
    item
    #6723
    item
    #5195
    item
    #4981

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  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?

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  39. Widgets & other uses
    newsletters
    ■personalized content
    ■target special user group
    site search
    ■modify ranking
    ?

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  40. User Interface
    Business
    Control &
    Analytics
    Knowledge Base
    Processing
    Francisco J. Martin (Strands), RecSys2009

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  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

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  42. Judit Pónya
    @ptxster
    [email protected]
    www.fatdux.com
    Köszönöm!

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