אורן פרז (פורסם לראשונה בבלוגו 'Regulatory Paradoxes')
1) The introspective power of the algorithm:
“It’s not just that Netflix can show you things you might like, but that it can
tell you what kinds of things those are. It is, in its own weird way, a tool
for introspection”. I’m not sure to what extent this introspective capacity is
manifested in reality but this is interesting.
2) Bugs and ghosts in the machine - it seems that the combination of machine learning and human intelligence (through
the human tagging process) produced inexplicable anomalies (e.g., the
popularity of Perry Mason’s stars in netflix altgenres). Todd Yellin, Netflix’s
VP of Product had the following to say about that:
"Let me get philosophical for a minute. In
a human world, life is made interesting by serendipity,"… "The more
complexity you add to a machine world, you’re adding serendipity that you
couldn’t imagine. Perry Mason is going to happen. These ghosts in the machine
are always going to be a by-product of the complexity. And sometimes we call it
a bug and sometimes we call it a feature".
3) Can netflix be duplicated? One example is
Pandora’s Music Genome Project. But can it be applied to politics - imagine an
algorithm that studies our political preferences and recommends how we should
vote on the next elections?
See, Alexis C. Madrigal, How Netflix Reverse Engineered Hollywood
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