Improving Search Rankings with Conversion Events

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With semantic search, what are some best practices for incorporating human feedback (RHLF, eg. conversions) to improve the search rankings over time? How might rankings be improved with a vector database?

For example:

  1. User searches a keyword
  2. User clicks on an item
  3. Search engine moves most commonly clicked on items up in the rankings
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2

Iā€™m also interested in how this could be implemented.

Perhaps using the metadata feature to associate keywords and the vector with positive and negative outcomes?