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20222026
most citedTransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest

32 citations · 68 across the 7 of their papers we have counts for

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2 papers · 1 filter

cs.LG2022★ 5 cited

MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest

Saket Gurukar, Nikil Pancha, Andrew Zhai +5

Graph Convolutional Networks (GCN) can efficiently integrate graph structure and node features to learn high-quality node embeddings. These embeddings can then be used for several…

cs.LG2022★ 3 cited

PinnerFormer: Sequence Modeling for User Representation at Pinterest

Nikil Pancha, Andrew Zhai, Jure Leskovec +1

Sequential models have become increasingly popular in powering personalized recommendation systems over the past several years. These approaches traditionally model a user's action…