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You're right that audience data is going to be full of the obvious. But it's also good for watching trends, before they go bust. A number of genres (e.g. supe
by graylights 13y ago
You're right that audience data is going to be full of the obvious. But it's also good for watching trends, before they go bust. A number of genres (e.g. superheroes) have cycles of growing, being massively popular, then dying off for a couple decades.
If you're in the business of making content, you want to join the trend early and get out before everyone realizes it's a fad. A truly great movie can buck trends, or even change them, but there are few truly great movies. Or you could just ignore this all and make the perennial favorites, generic romance or action movies.
- agibsonccc 13y agoActually their recommendation engine is a little too accurate. It drives as much as 70% of their views. They have to purposely randomize it. For those curious how it works: See the brilliant talk from the guy who heads it up himself (this was a great talk to attend in person) http://www.mlconf.com/mlconf-2013/mlconf-2013-agenda/xavier-amatriain/ http://www.mlconf.com/mlconf-2013/mlconf-2013-agenda/xavier-... One reference I could find for the statistic from google: http://blog.kissmetrics.com/how-netflix-uses-analytics/ http://blog.kissmetrics.com/how-netflix-uses-analytics/ I don't think they'll have to worry about this anytime soon.