US 10,242,384 B2Granted

Method and system for location-based product recommendation

AssigneeTarget Brands, Inc.

InventorsCollin Otis, Joshua Barrett Strausser

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Abstract

A location-based product recommendation system uses consumer profile data, a network of beacons that emit unique identifiers, and a recommender to determine current product-correlated location information for a space in which a consumer's mobile device is physically present. The system may use the current product-correlated location information and the consumer's profile data to generate a recommendation for a candidate product for the consumer to consider. The system also may incorporate data from other interactions with products such as purchases, clicks on a website, etc. The system also may incorporate data generated on multiple channels (e.g., a product click on a personal computer at work, a mobile device location in a physical store, a product purchase on a personal computer in the home) into a single profile for the consumer.

Claims19

Dependent claims

A method comprising:

updating, by a computing system comprising one or more computing devices, data representing a floor map of a physical space having a plurality of items located within the physical space, comprising:
receiving, by the computing system, a plurality of signal strength vectors, each of the plurality of signal strength vectors comprising respective indications of signal strengths as detected by one of a plurality of mobile devices while present within the physical space, of signals emitted by a plurality of beacons located within a physical space, each of the plurality of signal strength vectors corresponding to one of a plurality of locations within the physical space;
receiving, by the computing system, a plurality of content identifiers, each one of the plurality of content identifiers identifying content accessed by one of the plurality of mobile devices while present in the physical space, the content corresponding to one of the plurality of items located within the physical space;
generating, by the computing system, a point cloud comprising a plurality of points, wherein each of the plurality of points maps one of the plurality of content identifiers to a corresponding one of the plurality of locations within the physical space corresponding to one of the plurality of signal strength vectors;
and
for each of the plurality of points of the point cloud:
determining, by the computing system, from among the plurality of content identifiers accessed by the plurality of mobile devices within a predetermined radius of the corresponding location, one of the plurality of content identifiers having a highest number of occurrences;
and
transforming, by the computing system, the determined content identifier to a category identifier for the corresponding location, the category identifier identifying a category of items in the plurality of items, and updating the data representing the floor map of the physical space by associating the category identifier with the corresponding location;
and
providing a product recommendation to a particular mobile device located within the physical space, comprising:
receiving, by the computing system, a signal strength vector from the particular mobile device;
querying, by the computing device, the data representing the floor map based on the signal strength vector from the particular mobile device and determining therefrom a current location of the particular mobile device within the physical space;
generating, by the computing system, based on the category identifier associated with the current location of the particular mobile device, the product recommendation, the product recommendation corresponding to a product belonging to the category identifier associated with the current location of the particular mobile device;
and
transmitting, by the computing system, a message that causes the particular mobile device to output the product recommendation for display on the particular mobile device.

13 more elements

A computing system comprising:

one or more communication ports configured to:
receive a plurality of signal strength vectors, each of the plurality of signal strength vectors comprising respective indications of signal strengths as detected by one of a plurality of mobile devices while present within a physical space, of signals emitted by a plurality of beacons located within the physical space, each of the plurality of signal strength vectors corresponding to one of a plurality of locations within the physical space;
and
receive a plurality of content identifiers, each one of the plurality of content identifiers identifying content accessed by one of the plurality of mobile devices while present in the physical space, the content corresponding to one of the plurality of items located within the physical space;
and
one or more processors configured to:
generate a point cloud comprising a plurality of points, wherein each of the plurality of points maps one of the plurality of content identifiers to a corresponding one of the plurality of locations within the physical space corresponding to one of the plurality of signal strength vectors;
and
for each of the plurality of points of the point cloud:
determine, from among the plurality of content identifiers accessed by the plurality of mobile devices within a predetermined radius of the corresponding location, one of the plurality of content identifiers having a highest number of occurrences;
and
transform the determined content identifier to a category identifier for the corresponding location, the category identifier identifying a category of items in the plurality of items, and updating the data representing the floor map of the physical space by associating the category identifier with the corresponding location;
query the data representing the floor map based on a signal strength vector received from a particular mobile device and determine therefrom a current location of the particular mobile device within the physical space;
generate, based on the category identifier corresponding to the current location of the particular mobile device, a product recommendation, the product recommendation corresponding to a product belonging to the category identifier associated with the current location of the particular mobile device;
and
transmit a message that causes the particular mobile device to output the product recommendation for display on the particular mobile device.

13 more elements

A non-transitory computer readable data storage medium having instructions stored thereon that, when executed, configure a computing system to:

update data representing a floor map of a physical space having a plurality of items located within the physical space, including:
receive a plurality of signal strength vectors, each of the plurality of signal strength vectors comprising respective indications of signal strengths as detected by one of a plurality of mobile devices while present within the physical space, of signals emitted by a plurality of beacons located within a physical space, each of the plurality of signal strength vectors corresponding to one of a plurality of locations within the physical space;
receive a plurality of content identifiers, each one of the plurality of content identifiers identifying content accessed by one of the plurality of mobile devices while present in the physical space, the content corresponding to one of the plurality of items located within the physical space;
generate a point cloud comprising a plurality of points, wherein each of the plurality of points maps one of the plurality of content identifiers to a corresponding one of the plurality of locations within the physical space corresponding to one of the plurality of signal strength vectors;
and
for each of the plurality of points of the point cloud:
determine, from among the plurality of content identifiers accessed by the plurality of mobile devices within a predetermined radius of the corresponding location, one of the plurality of content identifiers having a highest number of occurrences;
and
transform the determined content identifier to a category identifier for the corresponding location, the category identifier identifying a category of items in the plurality of items, and updating the data representing the floor map of the physical space by associating the category identifier with the corresponding location;
and
provide a product recommendation to a particular mobile device located within the physical space, including:
receive a signal strength vector from the particular mobile device;
query the data representing the floor map based on the signal strength vector from the particular mobile device and determining therefrom a current location of the particular mobile device within the physical space;
generate, based on the category identifier associated with the current location of the particular mobile device, the product recommendation, the product recommendation corresponding to a product belonging to the category identifier corresponding to the current location of the particular mobile device;
and
transmit a message that causes the particular mobile device to output the product recommendation for display on the particular mobile device.

13 more elements

Dependencies are inferred from the claim text.

Facts

Application: 14/750,468Filed 25 Jun 2015 · us provisional application
Priority: 25 Jun 2014
Published: US 2015/0379576 A131 Dec 2015
Granted: 26 Mar 2019
Term ends: Not estimatedThe source records don’t support an estimate.

Classification8 codes

G06Q 30/0261
Targeted advertisements: based on user location
G06Q 30/0217
Discounts or incentives, e.g. coupons or rebates: involving input on products or services in exchange for incentives or rewards
G06Q 30/0255
Targeted advertisements: based on user history
G06Q 30/0267
Targeted advertisements: wireless devices