Most ranking algorithms are "amplification algorithms"
- Most ranking algorithms are "amplification algorithms"
- They find small but consistent biases in the data that reveal human intent, and then amplify those biases to help scale insights to other users.
- For example, high volition users, for the query [kumquat] are more likely to click to the image search tab, so you can save others users a click and show an image Onebox in the normal search results.
- But these also tend to expand underlying trends into grotesque, overextended versions of themselves.
- LLMs have the potential to supercharge this grotesqueness.