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DataFunTalk
DataFunTalk
Sep 26, 2022 · Artificial Intelligence

Intelligent Entity Recommendation in Search Scenarios: Architecture, Relevance, Sparse Data Recall, and Multi‑Domain Strategies

This article presents a comprehensive overview of intelligent entity recommendation for search, covering scenario introduction, relevance modeling, handling sparse query and entity data with graph‑based methods, and multi‑domain, multi‑scenario ranking techniques to improve user experience.

Graph Neural Networksentity recommendationknowledge graph
0 likes · 15 min read
Intelligent Entity Recommendation in Search Scenarios: Architecture, Relevance, Sparse Data Recall, and Multi‑Domain Strategies
DataFunTalk
DataFunTalk
Sep 19, 2022 · Artificial Intelligence

Pretraining Models and Graph Neural Networks for Recommendation Systems

This talk explores the evolution, objectives, and core challenges of pretraining models, their application in recommendation scenarios, service modes, and detailed case studies of graph neural network pretraining, illustrating how self‑supervised learning and multi‑domain data integration enhance user and item embeddings for improved recommendation performance.

Graph Neural Networksembeddingmulti-domain
0 likes · 16 min read
Pretraining Models and Graph Neural Networks for Recommendation Systems