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。
- 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
- 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