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Method and apparatus for determining usefulness of a digital asset

  • US 7,856,446 B2
  • Filed: 02/08/2006
  • Issued: 12/21/2010
  • Est. Priority Date: 12/27/2005
  • Status: Active Grant
First Claim
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1. A method for identifying, extracting using a processor, capturing, and leveraging expertise and knowledge comprising:

  • observing, between and among peers and experts who show high affinity with regard to any of the users, assets, and topics/terms, a user heartbeat which comprises user activity, including mouse movement and stable pauses on an asset, while the asset is in a user display foreground;

    based upon the observing, detecting user think time for the asset;

    employing automatic techniques to extract patterns from at least the user think time; and

    learning affinities between and among any of the users, assets and topics/terms from the extracted patterns for any of;

    automatically determining each user'"'"'s peer group,predicting a desired destination of the users in a navigation context,calculating an expert and peer impact factor, an asset impact factor, or rareness,determining importance of an asset and/or expertise that individuals possess, without asking the individuals directly,automatically disambiguating query terms in an online search, and/oreffecting a predictive query by suggesting search terms to the users or automatically inserting search terms into user queries to expand a search, wherein learning affinities includes applying a formula to lower weights of the term as the terms become associated with more assets.

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