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> Sure ai becomes biased by the users who use it the most There's an easy fix. Exclude the hardcore users (the top 10% say) from your recommendation engine.

• vanderZwan 8y ago
  Hmm, regardless of whether that works, that makes me wonder if it would work for the vicious cycle that is "popular things getting more popular because they are already popular". It would probably lead to some interesting delayed feedback effects where things that are nearly popular get recommended, push out the popular, then the displaced stuff gets pushed into the nearly popular zone, etc. Perhaps some popularity + cooldown system would work. Of course, all of this goes against the short-term incentives of maximizing engagement, so there's no way YouTube will ever implement this (even though it would probably greatly improve diversification of content).
  • buckminster 8y ago
    I'm excluding the most active users, not the most popular things, so I think it would behave quite naturally. It just wouldn't have input from the obsessives. I agree it's unlikely to happen though.
    • vanderZwan 8y ago
      Ah, yes. I misread. Yours is fundamentally simpler (that is a compliment) and at face value it indeed seems like a good solution. Outliers distort data, after all. The system I thought you suggested in my misreading seems complimentary to your solution though.