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user's Introduction

My Research

daily research

Rec System

  • Rcmd Models:

    • General Method
    year paper pdf note
    DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems PDF Notes
    Behavior Sequence Transformer for E-commerce Recommendation in Alibaba PDF
    Rank consistent ordinal regression for neural networks with application to age estimation PDF Notes
    DeepFM: A Factorization-Machine based Neural Network for CTR Prediction PDF
    Deep & Cross Network for Ad Click Prediction PDF Notes
    • Graph related
    year paper pdf note
    2021 Dual Graph enhanced Embedding Neural Network for CTR Prediction PDF Notes
    2021 Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction PDF Notes
    2019 AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks PDF Notes
    2019 Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction PDF Notes

NLP

  • Graph Related

    year paper pdf note
    2022 GNN-LM: LANGUAGE MODELING BASED ON GLOBAL CONTEXTS VIA GNN PDF Notes

User Representation

  • Pretrained User Representation:

    year paper pdf note
    2022 Learning Universal User Representations via Self-Supervised Lifelong Behaviors Modeling PDF Notes
    2021 One Person, One Model, One World: Learning Continual User Representation without Forgetting PDF Notes
    2021 User-specific Adaptive Fine-tuning for Cross-domain Recommendations PDF Notes
    2021 Scaling Law for Recommendation Models: Towards General-purpose User Representations PDF Notes
    2021 Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training PDF Notes
    2021 One4all User Representation for Recommender Systems in E-commerce PDF Notes
    2021 UserBERT: Contrastive User Model Pre-training PDF Notes
    2021 UPRec: User-Aware Pre-training for Recommender Systems PDF Notes
    2020 Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation PDF Notes
    2020 PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision PDF Notes
    2018 Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks PDF Notes
    • Graph related
    year paper pdf note
    2021 User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation PDF
  • Other:

    • Real-time Personalization using Embeddings for Search Ranking at Airbnb: [PDF][Notes]

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