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DataFunSummit
DataFunSummit
Jan 15, 2025 · Artificial Intelligence

Decentralized Distribution in Xiaohongshu: Strengthening Sideinfo, Multimodal Fusion, and Interest Exploration

This article details Xiaohongshu's technical approaches to solving decentralized content distribution by enhancing side‑information usage, integrating multimodal signals across the recommendation pipeline, applying graph‑based models, and implementing interest exploration and protection mechanisms, while also outlining future research directions.

Large ModelsRecommendation systemsdecentralized distribution
0 likes · 24 min read
Decentralized Distribution in Xiaohongshu: Strengthening Sideinfo, Multimodal Fusion, and Interest Exploration
DataFunSummit
DataFunSummit
Oct 29, 2024 · Artificial Intelligence

Decentralized Distribution in Xiaohongshu: Strengthening Sideinfo, Multimodal Fusion, and Interest Exploration

This article details Xiaohongshu's technical approaches to decentralized content distribution, covering business background, core challenges, high‑frequency recommendation pipelines, link‑level analysis, sideinfo decoupling, graph‑model integration, multimodal signal fusion, explicit interest exploration, interest protection, and future research directions.

Recommendation systemsdecentralized distributiongraph models
0 likes · 24 min read
Decentralized Distribution in Xiaohongshu: Strengthening Sideinfo, Multimodal Fusion, and Interest Exploration
DataFunTalk
DataFunTalk
May 9, 2024 · Artificial Intelligence

Graph Model Practices and Applications in Baidu Recommendation System

This article introduces the background of graph data, explains common graph modeling algorithms such as graph embedding and graph neural networks, compares their strengths, and details the evolution and large‑scale deployment of Feed graph models in Baidu's recommendation platform.

BaiduGraph Neural NetworksRecommendation systems
0 likes · 11 min read
Graph Model Practices and Applications in Baidu Recommendation System
DataFunTalk
DataFunTalk
Jan 11, 2024 · Artificial Intelligence

Graph Models in Baidu Recommendation System: Background, Algorithms, and Evolution

This article introduces the use of graph models in Baidu's recommendation system, covering graph fundamentals, common graph algorithms such as graph embedding and graph neural networks, the evolution of the Feed graph model, and its subsequent promotion across multiple product lines.

BaiduGraph Neural Networksgraph embedding
0 likes · 10 min read
Graph Models in Baidu Recommendation System: Background, Algorithms, and Evolution