By NizamUdDeen · · Reviewed by the Nizam SEO War Room editorial team.
First, the short version. Below is the AIO-eligible passage and the question-format primer for Personalized Navigation Using a Search Engine.
First, read the definition above — it's the answer most search and AI engines extract first.
Second, scan the question-format H2s to find the specific facet you came for.
Third, follow the patent + related-entry links at the bottom to map the dependency graph around Personalized Navigation Using a Search Engine.
What is Personalized Navigation Using a Search Engine?
Patent overview Inventor Gayathri Ravichandran Geetha, Sarah K.
Patent overview Inventor Gayathri Ravichandran Geetha, Sarah K.
NizamUdDeen, Nizam SEO War Room
Patent overview
Inventor
Gayathri Ravichandran Geetha, Sarah K. Tyler, Jaime Teevan, Susan T. Dumais
Assignee
Microsoft Corporation
Patent number
US 8,825,649
Filing or grant year
September 2, 2014
Patent family
personalized-navigation
Track
Jaime Teevan, Microsoft Personalized Search & Search-Task Patents
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What this patent covers
4 new canonical articles plus 1 cross-listing from the Dumais section. Teevan is co-inventor with Dumais and Horvitz on the foundational personalized-search patent (US 7,693,818) that re-ranks global candidates against a per-user profile vector. Inventor on search-task identification (US 8,326,824, cross-session query clustering into multi-step tasks), on re-finding vs new-finding classification (US 8,756,219, stabilizing prior clicked results for return visits), and on microtask search decomposition (US 10,062,103, decomposing high-level goals into resumable micro-steps). Cross-listing covers personalized-navigation (Dumais canonical). Spans 2003 to 2018+.
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Why Personalized Navigation Using a Search Engine matters
This patent is part of the Jaime Teevan, Microsoft Personalized Search & Search-Task Patents research track inside the Nizam SEO War Room patents archive. It describes a piece of the search-engine machinery that working SEOs need to understand to optimize against modern ranking and retrieval systems. A deeper annotated walkthrough of this patent — covering the claims, the disclosure, the prior art it cites, and the algorithms it influences — is queued for the next archive expansion pass.
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Related research
Patents in the Jaime Teevan, Microsoft Personalized Search & Search-Task Patents track are cross-linked to neighboring tracks where the same inventor or research lineage continues. Read this patent alongside the other entries in the track to recover the full research arc — the original disclosure, its continuations and divisional applications, and any follow-up patents that branched from the same line of work.
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For example, a working SEO consultant uses Personalized Navigation Using a Search Engine when diagnosing a ranking drop, planning a content calendar, or briefing a client on why a tactic shifted. However, the concept only compounds when paired with the surrounding entries in the encyclopedia and patents archive. In addition, the platform connects this concept to live SERP data so the theory carries through to execution.
How does Personalized Navigation Using a Search Engine work in modern search?
The full breakdown is in the article body above. In short: Personalized Navigation Using a Search Engine ties into how search engines and AI answer engines weigh signals — every detail (definition, ranking impact, related patents, related signals) is captured in this article and cross-linked to neighboring entries in the encyclopedia and patents archive.
Working SEOs reach for Personalized Navigation Using a Search Engine when diagnosing why a page ranks where it does, when planning a content strategy that aligns with the surfaces search engines and answer engines weigh, and when explaining ranking moves to non-technical stakeholders. The concept is one piece of the broader Semantic SEO + AEO operating system; the Nizam SEO War Room platform ties it to live SERP data, the patent lineage that introduced it, and the strategy moves that compound across projects.
Where Personalized Navigation Using a Search Engine fits in the Semantic SEO + AEO stack
Search engines have moved from keyword matching toward semantic understanding, entity reasoning, and AI-mediated answer generation. Personalized Navigation Using a Search Engine sits inside that shift — its weight, its measurement, and its downstream effects all changed when the underlying ranking and retrieval systems changed. Read the related encyclopedia entries linked above for the surrounding context.
The concept of Personalized Navigation Using a Search Engine is grounded in the search-engine research lineage tracked in the Nizam SEO War Room platform. Primary sources:
Related encyclopedia entries and patent walkthroughs are linked inline above. The Strategy Brain inside the platform connects these sources to live project state so the research has a direct execution surface.
Finally, to summarize. Personalized Navigation Using a Search Engine matters because it intersects directly with the signals search engines and AI answer engines use to rank and surface results. The full article above covers the mechanism in depth, the patents it derives from, and the related encyclopedia entries to read next.