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Automated detection of associations between search criteria and item categories based on collective analysis of user activity data

  • US 20050222987A1
  • Filed: 04/02/2004
  • Published: 10/06/2005
  • Est. Priority Date: 04/02/2004
  • Status: Abandoned Application
First Claim
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1. In a database access system that provides access to a database in which items are arranged within item categories, a method for facilitating searches for items, the method comprising:

  • monitoring actions performed by a plurality of users of the database access system over time to generate user activity data that identifies search criteria specified by the users to search the database of items, and identifies items selected from the database by the users;

    programmatically analyzing the user activity data to identify correlations between specific sets of search criteria and specific item categories;

    generating a mapping structure that maps specific sets of search criteria to specific item categories based at least in-part on the correlations identified by programmatically analyzing the user activity data; and

    in response to a submission by a user of a search query that includes a set of search criteria, accessing the mapping structure to identify at least one item category that is related to the set of search criteria, and suggesting the at least one item category to the user in conjunction with results of the search query.

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