Solving the Context Detection Challenge: From Naive Keywords to Semantic Intent Recognition
By Marc F. Adam • Jan 8, 2025 • 14 min read
Marc F. Adam
Founder and CEO
Solving the Context Detection Challenge: From Naive Keywords to Semantic Intent Recognition
Abstract
This research paper documents the evolution of our context detection system from basic keyword matching to sophisticated semantic intent recognition. We present a novel approach to bridging conversational AI with business data through intelligent context awareness.
The Hypothesis
Coming Soon: Full technical deep dive
Natural language queries can be automatically classified to determine when users are seeking business data versus general conversation, enabling seamless integration between conversational AI and enterprise databases.
Research Journey
Coming Soon: Detailed methodology
Technical Implementation
Coming Soon: System architecture
Results & Impact
Coming Soon: Performance metrics
This article will be fully developed to include:
Intent classification algorithms
Context extraction techniques
Semantic similarity approaches
Performance benchmarks
Integration patterns with vector search
About Marc F. Adam
Founder and CEO
Marc F. Adam is the Founder and CEO of Nixa, with over 12 years of experience in software development and business intelligence. A visionary leader in digital transformation, Marc has helped hundreds of organizations modernize their operations through innovative technology solutions. His expertise spans enterprise software architecture, AI integration, and creating user-centric business applications that drive measurable results.
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