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Re:Collaborative filtering doesn't work for us by caramelazimuth on Friday August 20, 2021 @07:58PM (#28252730)
How does using these embeddings (of sequences of interactional partners) compare with using embeddings of words/tokens?
Re:Collaborative filtering doesn't work for us by kevin948 on Friday August 20, 2021 @09:12PM (#28253174)
They should be quite similar. In the end you coax your embedding space to amount to some consistent measurement of what causes samples to diverge from one-another.

You can do similarity search and all the sorts of things you do for word embeddings on embeddings generated for other scenarios.