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MS Patent Applications Reveal Search Technology

eldavojohn writes, "In the roughly 90 patents they applied for on November 2, 2006, Microsoft reveals that it is apparently pushing its research in the search engine market. There are a few patents that reveal improved ranking methods and document classification but the real interesting ones revolve around linking related queries, optimizing search, identifying results that are spam, and using a Bayesian classifier to measure feedback from the user. If that's not enough, there's even a few I don't quite understand. Another notable Microsoft application for a patent is the model for assisting children in authoring stories so you can't accuse Microsoft of not thinking of the children. Microsoft regularly applies for many patents but never so many revolving around search."

2 of 87 comments (clear)

  1. Glancing at the first one quickly by Tokerat · · Score: 3, Interesting

    This patent sounds like they've patented the idea of recording which search links are clicked on most often for a given query, thus providing feedback given a random session number of which links you clicked on, and if you came back and tried something else.

    it would improve search results for future searchers, but I dunno if I like the idea of my search being tracked.

    Not only do my searched probably already get tracked without my knowledge but I might be completely wrong about this patent as I only perused it.

    --
    CAn'T CompreHend SARcaSm?
  2. Prior Art by David+Off · · Score: 3, Interesting

    This Patent application for a system to analyze and compare of portfolios by citation submitted by Microsoft sounds like it might actually help a patent examiner find prior art for all these Microsoft software patents. It describes a system for classifying documents and finding and analyzing relations (citations) between two sets of documents. Although that does sound a lot like PageRank and anchor text analysis doesn't it?