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by machiaweliczny 589 days ago
Nice. What algorithm is used for recommendation?
1 comments

It gets embeddings from open AI and compares them using cosine similarity. Stories are weighted by similarity, dissimilarity and HN score.
How you compare a liked set to single embedding? By best match? Or is there some fancier way?
By averaging the embeddings.