vector representation — 3 Technical Articles

Aug 25, 2025 · Artificial Intelligence

Unlocking AI Understanding: A Deep Dive into Embeddings and Their Real‑World Applications

This article explains how embeddings transform discrete items such as text, images, or user actions into continuous vectors, walks through the step‑by‑step workflow—from tokenization to normalization—highlights core properties, compares popular models, and showcases practical use cases in e‑commerce intent filtering and medical image retrieval, all backed by concrete examples and code.

AI fundamentalsEmbeddingsmodel comparison

0 likes · 7 min read

Unlocking AI Understanding: A Deep Dive into Embeddings and Their Real‑World Applications

DataFunTalk

Oct 28, 2020 · Artificial Intelligence

All-Rounder Recall Representation Algorithm Practice

This article presents a comprehensive overview of NetEase Yanxuan’s recall representation algorithms, detailing problem definition, model value, iterative implementations—including session-based embedding, GCN, GraphSAGE, LightGCN, and multi-interest models—along with engineering solutions, performance comparisons, and real-world deployment outcomes in search and recommendation systems.

EmbeddingRecommendationSearch

0 likes · 16 min read

All-Rounder Recall Representation Algorithm Practice

DataFunTalk

Jul 20, 2020 · Artificial Intelligence

Embedding Techniques in Tencent Mobile News Recommendation System

This article reviews the practical use of embedding technologies in Tencent's mobile news recommendation pipeline, covering the fundamentals of embeddings, their historical development, item and image embeddings, user embeddings, various vector‑based recall methods, clustering strategies, and recent advances and challenges.

EmbeddingTencentclustering

0 likes · 15 min read

Embedding Techniques in Tencent Mobile News Recommendation System