Tagged articles

knowledge fusion

4 articles · Page 1 of 1

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.

Generative RecommendationLagrangian constraintRecommendation Systems

0 likes · 11 min read

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

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 AdaptationMusicNER

0 likes · 25 min read

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

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.

MusicNERknowledge fusion

0 likes · 25 min read

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.

Graph DatabaseKnowledge GraphSemantic Web

0 likes · 18 min read

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