Publican los videos de las presentaciones del NAVER Search Colloquium 2021

Un total de 22 videos de conferencias (en coreano), organizados en 6 sesiones

1. Learning to Rank

• The Faimess-Utility Trade-off Problem

• Neural Topic Models for Web Search

• Optimizing Training Data in Learning to Rank

2. Modelado de usuarios

• Fairness in Search & Recommender Systems

• Classifying Web Documents by User Intent

• Understanding POI: from Context to Embedding

3. eCommerce

• AI-driven Shopping Search and Price Comparison for Billion-scale Products

• Item2Item: Wider and Deeper Product Recommendation

• Deep Local Search for Finding Hidden Meaning

• Online Serving AD Relevance Model Using BERT

4. Plataforma

• Search Engine and SRE Platform for Global Web Search System

• Front-end Engineering for Building an Immersive Experience in Search

• NAVER federated learning: Challenges and opportunities

• NAVER Knowledge Graph Introduction

5. Visión

• How to Improve Generalization in Visual Search

• Creative Ways for Visual Search

• StyleMapGAN: Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing

• Computer Vision for Autonomous Driving

6. IA de lenguaje

• Knowledge Snippet: Direct Answer to a Search Query

• Conversational AI with Big Generative LM

• Meta-Learning for the low-resource domain

• Search Applications with Big Generative LM

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Aunque el título está en inglés, salvo la sesión 1-1, todas las presentaciones son en coreano.