For both personality and preference vectors, it would be great to see data from the data from OKCupid, from its good old days (
https://www.reddit.com/r/gwern/comments/aapn1l/okcupid_blog_...).
Even more, since for questions there are:
- questions one decided to answer (which says something on its own)
- answers
- declared answers they accept in their partners
- actual partners they pursue (judged by matches, or dates)
While I expect that mostly similarities attract (so-called associative mating), there are compatible traits (e.g one person loves to listen, one person loves to talk), and there is the level of lack of self-knowledge, or hypocrisy (what we SAY we like, vs what we actually do).
And then e.g. probability that person A likes person B can be expressed as:
sigmoid(actualPrefVecA * personalityVecB)
...and with gradient descent magic, we can turn people into vectors!
Even more, since for questions there are:
- questions one decided to answer (which says something on its own)
- answers
- declared answers they accept in their partners
- actual partners they pursue (judged by matches, or dates)
While I expect that mostly similarities attract (so-called associative mating), there are compatible traits (e.g one person loves to listen, one person loves to talk), and there is the level of lack of self-knowledge, or hypocrisy (what we SAY we like, vs what we actually do).
And then e.g. probability that person A likes person B can be expressed as:
sigmoid(actualPrefVecA * personalityVecB)
...and with gradient descent magic, we can turn people into vectors!