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Reverse brand sorting tools for interest-graph driven personalization

  • US 10,019,730 B2
  • Filed: 03/15/2013
  • Issued: 07/10/2018
  • Est. Priority Date: 08/15/2012
  • Status: Expired due to Fees
First Claim
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1. A non-transitory computer readable medium having instructions stored thereon that are executable by processor electronics configured to:

  • receive preexisiting data from a user device associated to a user profile of a user, wherein the preexisting data is comprised of user location data which comprises a number of times the user was inside a boundary associated to a brand device, wherein the user location data was determined on the user device by the steps of;

    displaying on the user device a user interface permitting the selection of a plurality of different location boundary granularities;

    receiving a user selected location boundary granularity, wherein a location boundary granularity represents a specific geographical boundary specification; and

    in response to the selection of the location boundary granularity, determining user location data, wherein the user location data comprises location data with only location boundary granularities with the same specification or greater specification than the selected location boundary granularity;

    determine a characteristic of the user and an associated characteristic statistical probability based on a brand affinity, which is calculated at least from the preexisting data, wherein the determination of the user characteristic comprises associating said brand affinity with a preexisting data characteristics tag and an associated statistical probability characteristics tag based at least upon one or more of marketing data or a taxonomy, wherein the associated statistical probability characteristics tag represents a statistical probability of the user having the characteristic represented by the pre-existing data characteristics tag;

    associate to the user at least two marketing brand buckets comprised of a first and a second marketing brand bucket, in which association comprises matching the user characteristic to the first marketing brand bucket using one or more of marketing data or a taxonomy, wherein the at least two marketing brand buckets each comprise a plurality of brands associated to users of brands associated with the respective buckets as determined by marketing data;

    select at least one brand to be presented to the user, wherein the at least one brand selected is associated to at least one brand characteristic tag that is matched with the determined characteristic of the user, and the brand characteristic tag is associated to a brand statistical probability characteristics tag, wherein the brand statistical probability characteristics tag represents a statistical probability of users of the brand having the brand characteristic represented by the brand characteristic tag, wherein the at least one brand is selected from the plurality of brands from the associated first and second marketing brand buckets in which the at least one brand is selected in response to a determination that the at least one brand has the highest probability to determine the determined user characteristic relative to other brands from the plurality of brands;

    receive user feedback indicating whether the user has an affinity for said at least one brand; and

    based on the received feedback, change a confidence level that the user has the determined user characteristic.

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