自分の嗜好は、現実世界に即した面白い機械学習、検索システムなどを KDD Knowledge Discovery and Data Mining 2023には求めています。

Tutorials

  • Data-centric AI: Techniques and Future Perspectives
  • Trustworthy Recommender Systems: Foundations and Frontiers

Workshops

  • KDD 2023 International Workshop on Data Science for Social Good (DSSG’23)
  • 3rd Workshop on Online and Adaptive Recommender Systems (OARS)
  • EvalRS 2023: Well-Rounded Recommender Systems For Real-World Deployments

Accepted Papers

SESSION: Applied Data Track Full Papers を眺めました。

Amazon が発表した採択論文はここにまとめられている。

KDD 2023 - Amazon Science

  • CADENCE: Offline Category Constrained and Diverse Query Generation for E-commerce Autosuggest
  • RankFormer: Listwise Learning-to-Rank Using Listwide Labels
    • Amazon
  • Binary Embedding-based Retrieval at Tencent
  • Learning Discrete Document Representations in Web Search
  • Real Time Index and Search Across Large Quantities of GNN Experts for Low Latency Online Learning
  • Optimizing Airbnb Search Journey with Multi-task Learning
    • Airbnb ずっと検索の論文採択され続けていてすごない?
  • Improving Training Stability for Multitask Ranking Models in Recommender Systems
    • Google
  • Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies
  • PASS: Personalized Advertiser-aware Sponsored Search
  • Exploiting Intent Evolution in E-commercial Query Recommendation
  • An Empirical Study of Selection Bias in Pinterest Ads Retrieval
  • QUERT: Continual Pre-training of Language Model for Query Understanding in Travel Domain Search
  • Commonsense Knowledge Graph towards Super APP and Its Applications in Alipay
  • Revisiting Neural Retrieval on Accelerators
    • Meta
  • Towards Disentangling Relevance and Bias in Unbiased Learning to Rank