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When Internal Links Matter More Than Another Article

When Internal Links Matter More Than Another Article

by lucent | Aug 5, 2026 | Governance, HTML, Information Architecture, Optimization, Retrieval | 1 comment

Publishing a new article is not the only way to improve a website. Sometimes the more valuable step is to connect pages that already exist. New content can expand what a website knows. Thoughtful internal links can make that knowledge easier to find, understand, and...
Accessibility Tree Explained

Accessibility Tree Explained

by lucent | Aug 5, 2026 | Accessibility, Browser, Information Architecture, Optimization | 0 comments

The Accessibility Tree is a browser-generated representation of a webpage that assistive technologies can understand. While sighted users may experience a page through layout, color, spacing, animation, and visual hierarchy, screen readers and other assistive tools...
Context Prioritization: Determining What Matters Most

Context Prioritization: Determining What Matters Most

by lucent | Aug 4, 2026 | Information Architecture, Optimization, Retrieval, Workflow | 1 comment

Context prioritization is the process of determining which available information deserves the greatest attention for a particular task, decision, or moment. It helps people and systems focus on what is currently relevant without assuming that everything else should be...
Deduplication: Identifying and Managing Duplicate Information

Deduplication: Identifying and Managing Duplicate Information

by lucent | Aug 4, 2026 | Information Architecture, Optimization, Retrieval, Workflow | 0 comments

Deduplication is the practice of identifying information that is identical or substantially equivalent and deciding how its different representations should be managed. Although deduplication can reduce storage use, its broader purpose is to help systems distinguish...
Understanding Embeddings: How AI Systems Represent Meaning

Understanding Embeddings: How AI Systems Represent Meaning

by lucent | Aug 4, 2026 | Information Architecture, Optimization, Retrieval, Workflow | 0 comments

Embeddings are mathematical representations that help computer systems compare words, passages, documents, images, and other forms of information. Instead of relying only on exact matches, an embedding system can identify items that are related in meaning, purpose, or...
Understanding Vector Search: How AI Systems Find Related Information

Understanding Vector Search: How AI Systems Find Related Information

by lucent | Aug 4, 2026 | Information Architecture, Optimization, Retrieval, Workflow | 1 comment

Vector search is a method for finding information based on semantic similarity rather than exact wording alone. It helps retrieval systems recognize that two passages may be closely related even when they use different words. Traditional keyword search often begins by...
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