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Search clustering

  • US 8,589,398 B2
  • Filed: 02/03/2012
  • Issued: 11/19/2013
  • Est. Priority Date: 11/20/2006
  • Status: Active Grant
First Claim
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1. A method comprising:

  • identifying noise data using a demand factor that is based on relationships of items and categories to query terms of search queries;

    retrieving, from a plurality of listings, item data that is filtered from the noise data based on the demand factor;

    constructing, using a processor of a machine, at least one base cluster having at least one document with common item data stored in a suffix ordering;

    compacting the at least one base cluster to create a compacted cluster representation having a reduced duplicate suffix ordering amongst clusters; and

    merging the compacted cluster representation to generate a merged cluster based upon a first overlap value applied to the at least one document with common item data.

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