Tagged articles

Knowledge Fusion

5 articles · Page 1 of 1
BanTech Think Tank
BanTech Think Tank
Sep 23, 2026 · Artificial Intelligence

From Knowledge Islands to Marketing Brain: Knowledge Fusion & Graph Reasoning for Corporate Products

China Postal Savings Bank built a corporate product recommendation system using multi-source knowledge fusion, a dual-engine vector database and knowledge graph, and a four-layer agent architecture (intent recognition, vector matching, graph retrieval, LLM polishing), achieving 90% accuracy—a 30% improvement over pure RAG—and deploying across 11 business channels with 36,000+ recommendations generated.

Corporate BankingFinancial TechnologyGraph Reasoning
0 likes · 21 min read
From Knowledge Islands to Marketing Brain: Knowledge Fusion & Graph Reasoning for Corporate Products
Alibaba International Intelligent Technology
Alibaba International Intelligent Technology
Jun 12, 2026 · Artificial Intelligence

Personalized World Knowledge Lets Large Models Truly Understand Users in Generative Recommendation

This article introduces LWGR, a framework that uses personalized soft prompts generated by parallel codebooks and Lagrangian‑constrained knowledge fusion to integrate large language model world knowledge into generative recommendation, overcoming fixed‑prompt limitations and knowledge‑behavior conflicts, and demonstrates superior performance on public and industrial datasets with notable revenue gains in online A/B tests.

Knowledge FusionLagrangian constraintgenerative recommendation
0 likes · 11 min read
Personalized World Knowledge Lets Large Models Truly Understand Users in Generative Recommendation
DataFunSummit
DataFunSummit
Mar 28, 2022 · Artificial Intelligence

Music Domain Named Entity Recognition: Challenges, Solutions, and Future Directions

This talk presents a comprehensive overview of music-domain Named Entity Recognition, covering its definition, unique challenges, candidate generation, training data construction, offline and online system architecture, successive model improvements (V1‑V3), knowledge‑fusion techniques, and future research directions.

Domain AdaptationKnowledge FusionMusic
0 likes · 25 min read
Music Domain Named Entity Recognition: Challenges, Solutions, and Future Directions
DataFunTalk
DataFunTalk
Mar 4, 2022 · Artificial Intelligence

Music Domain Named Entity Recognition: Challenges, Solutions, and Future Directions

This article presents a comprehensive overview of named entity recognition (NER) for the music domain, covering its definition, historical development, specific challenges such as domain relevance and ambiguity, and detailed offline and online system architectures including candidate generation, training data construction, model iterations (V1‑V3), knowledge‑fusion frameworks, and future research directions.

Knowledge FusionMusicNER
0 likes · 25 min read
Music Domain Named Entity Recognition: Challenges, Solutions, and Future Directions
Alibaba Cloud Developer
Alibaba Cloud Developer
Jun 28, 2018 · Artificial Intelligence

How to Build a Knowledge Graph from Scratch: Bottom‑Up Techniques Explained

This article explains the fundamentals of knowledge graphs, compares top‑down and bottom‑up construction methods, describes data types, storage options, logical and technical architectures, and walks through the iterative steps of information extraction, knowledge fusion, processing, updating, and real‑world applications.

Knowledge FusionOntologySemantic Web
0 likes · 18 min read
How to Build a Knowledge Graph from Scratch: Bottom‑Up Techniques Explained