Stephen James Hall
  • Optimize
  • Learn
  • Glossary
  • Contact
Select Page
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...
When Lazy Loading May Not Be the Best Choice

When Lazy Loading May Not Be the Best Choice

by lucent | Aug 4, 2026 | Browser, HTML, Optimization, Web Design | 0 comments

Image by Stephen, taken while being lazy on Mudlick Mountain Lazy loading can reduce unnecessary transfers and help a page become usable without first downloading every image, iframe, or embedded resource. It is especially useful for content positioned well beyond the...
When More Context Can Make AI Responses Degrade

When More Context Can Make AI Responses Degrade

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

More context can improve an AI response when it supplies relevant facts, necessary instructions, or useful examples. It can also reduce response quality when it introduces conflicting directions, outdated information, repetition, or material unrelated to the current...
« Older Entries
Next Entries »

Find

Hoods

  • Accessibility
  • Browsers and Rendering
  • Retrieval
  • Web Engineering
  • Workflow

Read

  • An Example Editorial Workflow: From Article Idea to Published Page
  • Discovery vs. Indexability: Knowing a URL Exists Is Not the Same as Indexing Its Content
  • Anchor Links and Fragment Identifiers: Accessible In-Page Navigation for Long Documents
  • Hybrid Retrieval: How Keyword and Vector Search Work Together
  • What Is Vector Similarity?

Get

Our Feed

  • About
  • Optimization
  • Content
  • Webs
  • Learn
  • Policy
  • Privacy
  • Glossary
  • RSS
©2008-2026 Stephen James Hall SEO - Poplar Bluff, MO. - Sitemap