Clickthrough Rate Prediction eCTR() Function

A Clickthrough Rate Prediction eCTR() Function is a predicted performance function for a clickthrough rate metric (to produce pCTR values).

• Context:
  • It can range from being a Personalized pCTR() [math]\displaystyle{ p(click \mid item, context) }[/math] to being a Population-level pCTR().
  • It can range from being a Contextual pCTR() [math]\displaystyle{ p(click \mid item, user) }[/math] to being an Non-Contextual pCTR().
  • It can be produced by a Clickthrough Rate Prediction System (that solves a eCTR modeling task).
  • It can be a type of a User-Item Relevance Estimation Function.
• Example(s):
  • VigLink's pCTR().
  • ...
• Counter-Example(s):
  • a Historical Clickthrough Rate Function.
  • an Earnings per Click Prediction Function.
  • a Item Relevance Prediction Function (for item ratings).
  • a Dwell Time Prediction Model.
• See: Consumer Experience Prediction Model.

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