114 citations · 157 across the 6 of their papers we have counts for
3 papers · 1 filter
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…
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…
PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest
Aditya Pal, Chantat Eksombatchai, Yitong Zhou +3
Latent user representations are widely adopted in the tech industry for powering personalized recommender systems. Most prior work infers a single high dimensional embedding to rep…