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graph embeddings

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DataFunTalk
DataFunTalk
Apr 24, 2023 · Artificial Intelligence

Evolution of Large‑Scale Recommendation Models at Weibo: Technical Roadmap and Recent Advances

This article reviews the evolution of Weibo's large‑scale recommendation technology, covering the system's business scenarios, technical roadmap, recent large model iterations, multi‑task and multi‑scenario modeling, feature engineering, consistency between recall and ranking, and emerging techniques such as causal inference and graph methods.

Large-Scale ModelsRecommendation systemscausal inference
0 likes · 18 min read
Evolution of Large‑Scale Recommendation Models at Weibo: Technical Roadmap and Recent Advances
Alimama Tech
Alimama Tech
Jun 22, 2022 · Artificial Intelligence

Graph Deep Learning: Methods, Frameworks, and Industrial Applications

Graph deep learning, extending deep models to irregular graph data via spatial and spectral GNNs such as GCN, GAT, and GraphSAGE, has matured into frameworks like Alibaba’s open‑source Euler, which scales to billions of nodes, powers a heterogeneous query‑item‑ad graph for search advertising, and demonstrably boosts click‑through rates by over 1.5%.

Euler frameworkGraph Neural NetworksSearch Advertising
0 likes · 17 min read
Graph Deep Learning: Methods, Frameworks, and Industrial Applications
DataFunTalk
DataFunTalk
Jan 29, 2021 · Artificial Intelligence

Content Embedding Practices and Challenges at Hulu

This article presents Hulu's multi‑layered approach to content understanding and embedding, describing tag‑based graph embeddings, metadata‑BERT enhancements, multimodal video/audio feature aggregation, and various applications such as similarity search, ranking, cold‑start retrieval, and collection modeling, while also discussing current limitations and open research questions.

HuluMachine LearningRecommendation systems
0 likes · 12 min read
Content Embedding Practices and Challenges at Hulu