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How do recommendation algorithms actually work? Here is the short version.

  • Every platform tracks what you watch, pause on, skip, and share.
  • Collaborative filtering finds users similar to you and surfaces what they liked.
  • Content-based filtering matches item attributes to your past preferences.
  • Engagement signals — not enjoyment — drive most ranking decisions.
  • This creates filter bubbles that are hard to escape without deliberate effort.
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