Understanding the Relevance Score
How AI helps us classify 3GPP specifications.
The Relevance Score is an AI-generated metric designed to give you a quick understanding of a specification's importance in the context of modern mobile networks. It is not an official 3GPP metric but an estimation calculated by our AI model.
How is it calculated?
Our AI model analyzes the full text of each specification and considers several factors, including:
- Key Technologies: The presence of keywords and concepts related to modern technologies (5G, 5G-Advanced, IoT, Network Slicing, etc.) increases the score.
- Specification Age: While older specifications can still be relevant, those from newer releases (e.g., Rel-15 and later) tend to receive a higher score.
- Core Functionality: Specifications defining fundamental architecture (like TS 23.501 for the 5G core) are considered more relevant than those defining very specific or niche functions.
- Contextual Analysis: The AI evaluates the summary and overall content to understand if the specification is foundational, an enhancement, or a legacy feature.
What do the scores mean?
Scores 8-10: Highly Relevant
Considered essential for modern networks (5G and beyond). These are often foundational specifications for current and future deployments.
Scores 4-7: Moderately Relevant
These specifications are still in use but may relate to more mature technologies (like LTE) or describe enhancements rather than core features. They are important for interoperability and understanding the full picture.
Scores 1-3: Legacy / Niche
Primarily of historical interest or related to older systems (2G/3G) or very specific, non-mainstream functions. Useful for research or supporting legacy systems.
Disclaimer: The Relevance Score is an automated estimation and should be used as a guide, not as an absolute measure. We recommend always consulting the specification text for detailed understanding.