This morning I implemented PageRank to sort backlinks in my prototype note system. Mixed results!
＋: Easier to navigate to implicit "neighbor" notes connected via "hub" notes
＋: Surprises me notice how "central" some notes are
－: "Weird" backlinks often end up at the bottom
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Is the goal of NoteRank specifically to see which Notes rank the highest? What would be your fantasy result here?
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It's fuzzy. Backlinks themselves are one piece of what I think of as "peripheral vision"—serendipitous representations of structure and associations. A high rank tells me that a note is implicitly "near" another note that's important along some axis (not always the axis I want).
You don't know me yet, but I've been experimenting with similar ideas after hearing an inspiring description of your notes system from my housemate . I've been taking it in more of a ML direction: I implemented cosine similarity between notes using BERT representations.
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+: "Weird" backlinks might just be directions in space - I'd LOVE to find an "opposing viewpoint" direction, or train a model with such a direction
+: "Weird" backlinks might also be a certain *distance* in space? Perhaps there's a "Goldilocks zone" for creative connections.
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Seems related to what was asking for from
Would love to jam on this idea as you develop it.
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This thing needs Hebbian synapses. I'm creating a big pile of chaos here, in large part because most of the organization is latent, in rhymes and associations that don't have strong overlap in vocabulary. Still unlinked-mentions is a sort of ersatz Hebbian synapse mechanism
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In the 1900s people said "the only mysteries left in physics are black body radiation and the photoelectric effect" and then it turned out that these weren't simple corner cases, but all of quantum physics. Like that; I am concerned that this isn't a corner case.
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