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RE: Improving Steem’s rankings to cater to diverse content preferences

in #steemit8 years ago (edited)

Multiple cluster membership is what I alluded to in the last paragraph of the last section:

Also the like-minded distances and clustering algorithm could be applied orthogonally to each hashtag (a.k.a. Tag or category), so that voters can be clustered differently for different hashtags.

You are correct to point out I was vague in the last section, but afaics the rewards should still be according to voting power; thus the relative allocation between clusters and hashtags could remain an orthogonal attribute of the voting power. In other words, the total reward for the blog post’s author would still be based on the sum of the voting power for it, but the rankings would be clustered. However, the voter’s reward should be constrained to the voting power of the clusters he/she is a member of, so that the Nash equilibrium of voting for the posts with the highest rewards is I think removed. The proposed algorithm incentivizes the voting power to divvied up more granularly by providing orthogonal rankings for like-minded clusters of voters and this could be computed orthogonally for each hashtag. I will be pondering more the game theory ramifications of this proposal.

I did actually think of this issue, but I just forgot to write it into the last section. My energy level and focus was tailing off apparently as I composed the end of the document. There were many details I thought of and I may not have written them all down yet. I will as I remember.

The automagic is the algorithm as described.