http://naversearchconf.naver.com/ 총 6가지 세션으로 구성된 총 22개의 강연 동영상(한국어) 1. Learning to Rank ㅤ- The Faimess-Utility Trade-off Problem ㅤ- Neural Topic Models for Web Search ㅤ- Optimizing Training Data in Learning to Rank 2. User Modeling ㅤ- Fairness in Search & Recommender Systems ㅤ- Classifying Web Documents by User Intent ㅤ- Understanding POI: from Context to Embedding 3. eCommerce ㅤ- AI-driven Shopping Search and Price Comparison for Billion-scale Products ㅤ- Item2Item: Wider and Deeper Product Recommendation ㅤ- Deep Local Search for Finding Hidden Meaning ㅤ- Online Serving AD Relevance Model Using BERT 4. Platform ㅤ- Search Engine and SRE Platform for Global Web Search System ㅤ- Front-end Engineering for Building an Immersive Experience in Search ㅤ- NAVER federated learning: Challenges and opportunities ㅤ- NAVER Knowledge Graph Introduction 5. Vision ㅤ- How to Improve Generalization in Visual Search ㅤ- Creative Ways for Visual Search ㅤ- StyleMapGAN: Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing ㅤ- Computer Vision for Autonomous Driving 6. Language AI ㅤ- Knowledge Snippet: Direct Answer to a Search Query ㅤ- Conversational AI with Big Generative LM ㅤ- Meta-Learning for the low-resource domain ㅤ- Search Applications with Big Generative LM 음성 기능은 200자로 제한됨 | 
