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