Papers
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ML-DCN: Masked Low-Rank Deep Crossing Network Towards Scalable Ads Click-through Rate Prediction at Pinterest
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Generative Engine Optimization: A VLM and Agent Framework for Pinterest Acquisition Growth
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LLM-based Relevance Assessment for Web-Scale Search Evaluation at Pinterest
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TransAct V2: Lifelong User Action Sequence Modeling on Pinterest Recommendation
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InteractRank: Personalized Web-Scale Search Pre-Ranking with Cross Interaction Features
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Improving Pinterest Search Relevance Using Large Language Models
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OmniSearchSage: Multi-Task Multi-Entity Embeddings for Pinterest Search
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TransAct: Transformer-based Realtime User Action Model for Recommendation at Pinterest
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Rethinking Personalized Ranking at Pinterest: An End-to-End Approach
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ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest
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MultiBiSage: A Web-Scale Recommendation System Using Multiple Bipartite Graphs at Pinterest
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PinnerFormer: Sequence Modeling for User Representation at Pinterest
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PinnerFormer: Sequence Modeling for User Representation at Pinterest
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PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest
