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PinnerFormer: Sequence Modeling for User Representation at Pinterest. (arXiv:2205.04507v1 [cs.LG])
May 11, 2022, 1:11 a.m. | Nikil Pancha, Andrew Zhai, Jure Leskovec, Charles Rosenberg
cs.LG updates on arXiv.org arxiv.org
Sequential models have become increasingly popular in powering personalized
recommendation systems over the past several years. These approaches
traditionally model a user's actions on a website as a sequence to predict the
user's next action. While theoretically simplistic, these models are quite
challenging to deploy in production, commonly requiring streaming
infrastructure to reflect the latest user activity and potentially managing
mutable data for encoding a user's hidden state. Here we introduce
PinnerFormer, a user representation trained to predict a user's …
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