{
  "id": 11330590,
  "title": "Search Relevance & ML Ranking: Getting Search Right",
  "url": "https://urgent.news/2026/10/02/search-relevance-ml-ranking-getting-search-right",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-02T01:46:15.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/said_olano/search-relevance-ml-ranking-getting-search-right-2djh"
  },
  "original_language": "en",
  "account": null,
  "summary": "Search Relevance & ML Ranking: Getting Search Right You built semantic search. But results still feel wrong. Users search \"waterproof hiking boots\" and see \"dress shoes\". They search \"budget gaming laptop\" and see $3,000 machines. This is the gap between retrieval (find candidates) and ranking (order by relevance). The Search Pipeline Query: \"waterproof hiking boots\" ↓ RETRIEVAL: Find candidates…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}