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Analyzing operational and other data from search system or the like

  • US 20060085401A1
  • Filed: 10/20/2004
  • Published: 04/20/2006
  • Est. Priority Date: 10/20/2004
  • Status: Abandoned Application
First Claim
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1. A system for analyzing data from a search engine, the search engine generating a set of Search Results based on a Query String received from a requesting user, the Query String and the Search Results collectively comprising a User Search, the Search Results including at least one Result, each Result referencing a particular item of content believed to be relevant to the Query String, whereby a series of related User Searches comprises a Session, the search engine storing each User Search and related information, the system comprising:

  • a User Search Bundler (USB) analyzing User Searches to find similar ones of such User Searches and group such similar User Searches into User Search Bundles;

    an Intent Processor (IP) producing Intents based on User Search Bundles from the USB, each Intent being a group of one or more Sessions that are believed to be related to each other;

    a Factor Generator (FG) considering User Searches and related information to produce Factors, each Factor being with regard to a particular Result from a set of Search Results, each Factor relating to one or more Events, each Event being a piece of information relating to an act that a querying user performed;

    a Relevance Classifier (RC) receiving the Factors as generated by the FG for each Result and operating based thereon to produce a Judgment for the Result, the Judgment representing a determination of how the user judged the Result upon deciding to access same from the Search Results;

    a Metric Generator (MG) producing Metrics based on the Factors as generated by the FG and the Judgments as produced by the RC, each Metric being a measurement relating to a Result, a User Search, or a Session; and

    a data synthesizer (DS) extracting data generated by the USB, IP, FG, RC, and MG, formatting the extracted data into one or more databases, and storing the databases in a library, whereby the data can be reviewed and aggregated to provide feedback or generate reports.

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