Improvements to Scoring Algorithm

  • Fix algorithm for 3-level arguments (post->note->subnote): estimate $P(A|C)$ using tallies for A given considered C.
  • Better heuristic for top note: $informedVotes × relativeEntropy$
  • Adjustment for Informed Vote Selection Bias
  • Adjustment for Entrenchment Bias: Users’ informed votes influenced by whether they voted on post before voting on note
  • Implement/Improve support formula (use $P(note|subnote)$ to inform prior for $P(post|subnote)$:
  • Reversion Constant: Better prior for informed probability by assuming informed probability tends to regress to the mean.
  • Thomson Sampling
  • Integrate MCMC sampling instead of using the Bayesian Averaging approximation
  • Better solution for duplicates using the “great aunt” rule