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Methods and systems for searching for and identifying data repository deficits

  • US 8,566,178 B1
  • Filed: 09/13/2012
  • Issued: 10/22/2013
  • Est. Priority Date: 09/28/2007
  • Status: Active Grant
First Claim
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1. A computing system configured to identify data repository deficits, comprising:

  • a computing device;

    an interactive catalog of items being offered to users for purchase;

    a data repository that stores;

    purchase histories for users; and

    a first type of information related to catalog items submitted by users and an identification as to which user submitted a given information of the first type;

    a system configured to identify catalog items that do not have an amount of the first type of information that meets a first threshold;

    a recommendation system configured to recommend to a user candidate items, identified as not having the amount of the first type of information that meets the first threshold, for the user to provide the first type of information for,wherein the recommendation system uses data stored in the data repository to determine user item affinity based at least in part on a similarity of at least one item, for which the user previously provided information of the first type, with at least one of the identified catalog items that do not have a sufficient amount of the first type of information that meets the first threshold; and

    wherein the computing system is configured to selectively provide, at least partly in response to a recommendation from the recommendation system recommending candidate items that do not have a sufficient amount of the first type of information that meets the first threshold, for display on a user system;

    a user interface that provides functionality for the user to select an item from the recommended candidate items that do not have a sufficient amount of the first type of information that meets the first threshold; and

    a user interface via which the user can provide the first type of information for an item selected by the user from the recommended candidate items that do not have a sufficient amount of the first type of information that meets the first threshold.

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