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[D] is there paper about hierarchical user model in the field of Recommendation System with neural network

As we know, the users in recommendation system are different, the new vs the regular, the active vs the inactive, etc. Is there any good method to fit this situation. I have some idea, but not smooth。 (1)construct multiple model for different people, waste much computation resource (2) use the obvious difference as feature (embedding look up). but this method may use a continual space to simulate the discrete space (different user may have totally different distribution) Does anybody have better idea?

submitted by /u/wjbianjason
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.