probability function
The “probability function” is part of an over-all model of information that brings the current collaborative model to the state-of-the-art. It maximizes participation by refusing nothing. Each user-contribution is given fair-play and each user can vote a revision up or down.
Votes are tallied and given a probability of presentation based on the weight relative to the whole. User vote-actions have two ranges: a simple, incremental vote upward or downwards which is registered and tallied within the system as a whole, and a complete upward or downwards vote which, for example, adds the total credibility of the user to the item while putting it at the top of the individual’s selections (a “keep” operation such that new visits will always display that copy). That copy will only change if a user with a greater credibility votes similarly. At this point such registrations are tallied and again given a weighted probability of presentation re-normalized with the the user’s total ranking and the difference of the new contributors ranking (such that if the new top-voting user has a ranking of 50 while the current user has one of 40, the view to the current user will have the new contributors view 25% ((50-40)/40) of the time.
This is a partial description.