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05/31/2023
TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest
Sequential models that encode user activity for next action prediction h...
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09/18/2022
Rethinking Personalized Ranking at Pinterest: An End-to-End Approach
In this work, we present our journey to revolutionize the personalized r...
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05/24/2022
ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest
Learned embeddings for products are an important building block for web-...
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05/21/2022
MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest
Graph Convolutional Networks (GCN) can efficiently integrate graph struc...
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05/09/2022
PinnerFormer: Sequence Modeling for User Representation at Pinterest
Sequential models have become increasingly popular in powering personali...
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08/12/2021
Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations
Large-scale pretraining of visual representations has led to state-of-th...
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12/17/2020
Toward Transformer-Based Object Detection
Transformers have become the dominant model in natural language processi...
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06/18/2020
Shop The Look: Building a Large Scale Visual Shopping System at Pinterest
As online content becomes ever more visual, the demand for searching by ...
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06/18/2020
Bootstrapping Complete The Look at Pinterest
Putting together an ideal outfit is a process that involves creativity a...
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08/05/2019
Learning a Unified Embedding for Visual Search at Pinterest
At Pinterest, we utilize image embeddings throughout our search and reco...
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11/30/2018
Making Classification Competitive for Deep Metric Learning
Deep metric learning aims to learn a function mapping image pixels to em...
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05/28/2015
