A Recommendation Algorithm Incorporating Adaptive Gating Mechanisms and Knowledge Graph Enhancements
Abstract: Aiming at the problem that existing knowledge graph-based recommendation algorithms do not fully utilize the interaction information between users and items, this paper proposes a ...
This virtual panel brings together engineers, architects, and technical leaders to explore how AI is changing the landscape ...
Google’s Lang Extract uses prompts with Gemini or GPT, works locally or in the cloud, and helps you ship reliable, traceable data faster.
ProPEX-RAG is a prompt-driven, entity-guided RAG framework that emphasizes the role of prompt design in improving retrieval and reasoning across large knowledge graphs. Our approach unifies symbolic ...
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Ripple’s next big bet: Amazon Bedrock AI for XRPL efficiency — what it means for XRP price
Ripple is exploring Amazon Bedrock AI for XRPL operations to improve efficiency by using AI agents to analyze XRP Ledger system logs. The AWS-Ripple connection ...
Context Aware RAG is a flexible library designed to seamlessly integrate into existing data processing workflows to build customized data ingestion and retrieval (RAG) pipelines. With Context Aware ...
Abstract: Knowledge graph construction is aimed at storing and representing the knowledge of the objective world in a structured form. Existing methods for automatic construction of knowledge graphs ...
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