Granted Patent B2

US 12,737,784 · App. 18/120,406 · Granted Sep 15, 2026

Inventors: Robert Beaver (San Francisco, CA); Leslie Young Harvill (Olympia, WA); Matthew DiFonzo (Belmont, CA); Brent Burgess (Winchester, GB)

Assignee: Zazzle Inc.

G06Q30/0627G06Q30/0621G06Q30/0643

Abstract

Claims (126)

1 . A method comprising:

using a client application executing on a user device, generating a user interface configured to receive one or more user characteristics of a custom product;

wherein the one or more user characteristics have been associated with one or more corresponding graph of transform invariant features product-tokens (GTIF product-tokens);

receiving, by the client application executing on the user device, via the user interface, a particular characteristic of the one or more user characteristics;

determining, by the client application, a particular GTIF product-token associated with the particular characteristic of the one or more user characteristics;

wherein the particular GTIF product-token is generated to comprise social relationship data of a product creator, using one or more of:

a scale-invariant feature transform feature recognition method (SIFT),

a simultaneous localization and mapping feature recognition method (SLAM), or

a speed up robust features feature recognition method (SURF);

wherein the social relationship data of the product creator is a link that is between the product creator and another user, and that is used to assign the product creator and another user to a sub-group of attendees that are participating in a specific event;

determining whether the particular GTIF product-token, associated with the particular characteristic, matches a particular pair of a set of GTIF product-token pairs;

wherein the set of GTIF product-token pairs comprises one or more of:

a pair comprising a known GTIF product-token and a location data determined for a location of a user device,

a pair comprising known GTIF product-token associated with a user of the user device and one or more social relationships defined for the user,

a pair comprising known time based data associated with one or more events defined for the user and the one or more events,

a pair comprising a known GTIF product-token and a representation of a physical object detected by a camera or sensors and communicated to the user device, or

a pair comprising a known GTIF product-token and a representation of a digital object provided by the user device;

in response to determining that the particular GTIF product-token matches the particular pair:

determining particular additional content based on the particular pair, and displaying the particular additional content on the user device;

generating manufacturing instructions for manufacturing a physical product corresponding to the custom product including the particular additional content;

encoding information about the particular GTIF product-token in the manufacturing instructions;

transmitting the manufacturing instructions, having the information about the particular GTIF product-token encoded in the manufacturing instructions, to a manufacturer;

causing the manufacturer to:

generate a physical product-token based on the information about the particular GTIF product-token encoded in the manufacturing instructions; and

embed the physical product-token onto the physical product.

2 . The method of claim 1 , wherein the one or more user characteristics comprise a user characteristic retrieved from a user profile associated with a user;

wherein the user profile stores information about the user and includes one or more of: a user location, a user preference, a user address, a username, a user age, user favorites, a user purchase history, or user travel destinations.

3 . The method of claim 1 , wherein the one or more user characteristics comprise a geographic location of a user;

wherein the geographic location of the user is determined using a Global Positioning System (GPS) installed in any of a user smartphone, a user car, or a user computing device.

4 . The method of claim 1 , wherein a GTIF product-token, of one or more corresponding GTIF product-tokens, is a complex data structure that is generated using advanced computer-based techniques that include one or more: encoding spatial representations of certain features identified in the product or determining a set of invariant features that are specific to the product;

wherein the set of invariant features includes features that remain invariant of any 2D transformation performed on the features of the product.

5 . The method of claim 1 , wherein a GTIF product-token for a product, of a pair of the set of GTIF product-token pairs, represents one or more of:

one or more of relationships between a plurality of transform-invariant features identified for the product, or

one or more relationships between the plurality of transform-invariant features identified for the product and other transform-invariant features identified for other products.

6 . The method of claim 1 , wherein the product has a plurality transform invariant features and a corresponding plurality of GTIF product-tokens;

wherein a GTIF product-token is used to determine whether the GTIF product-token matches a particular pair of the set of GTIF product-token pairs;

wherein a GTIF product-token pair comprises additional context data that include one or more of:

location data determined based on GPS location data obtained from one or more of: the location of the user device, a photo, an address of an event, or an address of customers or users;

social relationship data of a creator or a recipient of the product; or

time based data determined based on one or more of: a time of an event, a time when a photo was taken, or a time when a message was sent.

7 . The method of claim 1 , wherein the determining of the particular additional content based on the particular pair is a search that requires comparisons between non-directed graphs having a plurality of nodes, wherein the nodes represent transform invariant features, wherein a time for comparison performed as a series of instructions on computing machinery increases based on a number of comparisons, and wherein a number of transform invariant features exceeds practical limits of user interaction time.

8 . One or more non-transitory computer readable storage media storing one or more instructions which, when executed by one or more processors, cause the one or more processors to perform:

using a client application executing on a user device, generating a user interface configured to receive one or more user characteristics of a custom product;

wherein the one or more user characteristics have been associated with one or more corresponding graph of transform invariant features product-tokens (GTIF product-tokens);

receiving, by the client application executing on the user device, via the user interface, a particular characteristic of the one or more user characteristics;

determining, by the client application, a particular GTIF product-token associated with the particular characteristic of the one or more user characteristics;

wherein the particular GTIF product-token is generated to comprise social relationship data of a product creator, using one or more of:

a scale-invariant feature transform feature recognition method (SIFT),

a simultaneous localization and mapping feature recognition method (SLAM), or

a speed up robust features feature recognition method (SURF);

wherein the social relationship data of the product creator is a link that is between the product creator and another user, and that is used to assign the product creator and another user to a sub-group of attendees that are participating in a specific event;

determining whether the particular GTIF product-token, associated with the particular characteristic, matches a particular pair of a set of GTIF product-token pairs;

wherein the set of GTIF product-token pairs comprises one or more of:

a pair comprising a known GTIF product-token and a location data determined for a location of a user device,

a pair comprising known GTIF product-token associated with a user of the user device and one or more social relationships defined for the user,

a pair comprising known time based data associated with one or more events defined for the user and the one or more events,

a pair comprising a known GTIF product-token and a representation of a physical object detected by a camera or sensors and communicated to the user device, or

a pair comprising a known GTIF product-token and a representation of a digital object provided by the user device;

in response to determining that the particular GTIF product-token matches the particular pair:

determining particular additional content based on the particular pair, and displaying the particular additional content on the user device;

generating manufacturing instructions for manufacturing a physical product corresponding to the custom product including the particular additional content;

encoding information about the particular GTIF product-token in the manufacturing instructions;

transmitting the manufacturing instructions, having the information about the particular GTIF product-token encoded in the manufacturing instructions, to a manufacturer;

causing the manufacturer to:

generate a physical product-token based on the information about the particular GTIF product-token encoded in the manufacturing instructions; and

embed the physical product-token onto the physical product.

9 . The one or more non-transitory computer readable storage media of claim 8 , wherein the one or more user characteristics comprise a user characteristic retrieved from a user profile associated with a user;

wherein the user profile stores information about the user and includes one or more of: a user location, a user preference, a user address, a username, a user age, user favorites, a user purchase history, or user travel destinations.

10 . The one or more non-transitory computer readable storage media of claim 8 , wherein the one or more user characteristics comprise a geographic location of a user;

wherein the geographic location of the user is determined using a Global Positioning System (GPS) installed in any of a user smartphone, a user car, or a user computing device.

11 . The one or more non-transitory computer readable storage media of claim 8 , wherein a GTIF product-token, of one or more corresponding GTIF product-tokens, is a complex data structure that is generated using advanced computer-based techniques that include one or more: encoding spatial representations of certain features identified in the product or determining a set of invariant features that are specific to the product;

wherein the set of invariant features includes features that remain invariant of any 2D transformation performed on the features of the product.

12 . The one or more non-transitory computer readable storage media of claim 8 , wherein a GTIF product-token for a product, of a pair of the set of GTIF product-token pairs, represents one or more of:

one or more of relationships between a plurality of transform-invariant features identified for the product, or

one or more relationships between the plurality of transform-invariant features identified for the product and other transform-invariant features identified for other products.

13 . The one or more non-transitory computer readable storage media of claim 8 , wherein the product has a plurality transform invariant features and a corresponding plurality of GTIF product-tokens;

wherein a GTIF product-token is used to determine whether the GTIF product-token matches a particular pair of the set of GTIF product-token pairs;

wherein a GTIF product-token pair comprises additional context data that include one or more of:

location data determined based on GPS location data obtained from one or more of: the location of the user device, a photo, an address of an event, or an address of customers or users;

social relationship data of a creator or a recipient of the product; or

time based data determined based on one or more of: a time of an event, a time when a photo was taken, or a time when a message was sent.

14 . The one or more non-transitory computer readable storage media of claim 8 , wherein the determining of the particular additional content based on the particular pair is a search that requires comparisons between non-directed graphs having a plurality of nodes, wherein the nodes represent transform invariant features, wherein a time for comparison performed as a series of instructions on computing machinery increases based on a number of comparisons, and wherein a number of transform invariant features exceeds practical limits of user interaction time.

15 . A custom product computer system generator comprising:

a memory unit;

one or more processors; and

a custom product computer storing one or more instructions, which, when executed by one or more processors, cause the one or more processors to perform:

using a client application executing on a user device, generating a user interface configured to receive one or more user characteristics of a custom product;

wherein the one or more user characteristics have been associated with one or more corresponding graph of transform invariant features product-tokens (GTIF product-tokens);

receiving, by the client application executing on the user device, via the user interface, a particular characteristic of the one or more user characteristics;

determining, by the client application, a particular GTIF product-token associated with the particular characteristic of the one or more user characteristics;

wherein the particular GTIF product-token is generated to comprise social relationship data of a product creator, using one or more of:

a scale-invariant feature transform feature recognition method (SIFT),

a simultaneous localization and mapping feature recognition method (SLAM), or

a speed up robust features feature recognition method (SURF);

wherein the social relationship data of the product creator is a link that is between the product creator and another user, and that is used to assign the product creator and another user to a sub-group of attendees that are participating in a specific event;

determining whether the particular GTIF product-token, associated with the particular characteristic, matches a particular pair of a set of GTIF product-token pairs;

wherein the set of GTIF product-token pairs comprises one or more of:

a pair comprising a known GTIF product-token and a location data determined for a location of a user device,

a pair comprising known GTIF product-token associated with a user of the user device and one or more social relationships defined for the user,

a pair comprising known time based data associated with one or more events defined for the user and the one or more events,

a pair comprising a known GTIF product-token and a representation of a physical object detected by a camera or sensors and communicated to the user device, or

a pair comprising a known GTIF product-token and a representation of a digital object provided by the user device;

in response to determining that the particular GTIF product-token matches the particular pair:

determining particular additional content based on the particular pair, and displaying the particular additional content on the user device;

generating manufacturing instructions for manufacturing a physical product corresponding to the custom product including the particular additional content;

encoding information about the particular GTIF product-token in the manufacturing instructions;

transmitting the manufacturing instructions, having the information about the particular GTIF product-token encoded in the manufacturing instructions, to a manufacturer;

causing the manufacturer to:

generate a physical product-token based on the information about the particular GTIF product-token encoded in the manufacturing instructions; and

embed the physical product-token onto the physical product.

16 . The custom product computer system generator of claim 15 , wherein the one or more user characteristics comprise a user characteristic retrieved from a user profile associated with a user;

wherein the user profile stores information about the user and includes one or more of: a user location, a user preference, a user address, a username, a user age, user favorites, a user purchase history, or user travel destinations.

17 . The custom product computer system generator of claim 15 , wherein the one or more user characteristics comprise a geographic location of a user;

wherein the geographic location of the user is determined using a Global Positioning System (GPS) installed in any of a user smartphone, a user car, or a user computing device.

18 . The custom product computer system generator of claim 15 , wherein a GTIF product-token, of one or more corresponding GTIF product-tokens, is a complex data structure that is generated using advanced computer-based techniques that include one or more: encoding spatial representations of certain features identified in the product or determining a set of invariant features that are specific to the product;

wherein the set of invariant features includes features that remain invariant of any 2D transformation performed on the features of the product.

19 . The custom product computer system generator of claim 15 , wherein a GTIF product-token for a product, of a pair of the set of GTIF product-token pairs, represents one or more of:

one or more of relationships between a plurality of transform-invariant features identified for the product, or

one or more relationships between the plurality of transform-invariant features identified for the product and other transform-invariant features identified for other products.

20 . The custom product computer system generator of claim 15 , wherein the product has a plurality transform invariant features and a corresponding plurality of GTIF product-tokens;

wherein a GTIF product-token is used to determine whether the GTIF product-token matches a particular pair of the set of GTIF product-token pairs;

wherein a GTIF product-token pair comprises additional context data that include one or more of:

location data determined based on GPS location data obtained from one or more of: the location of the user device, a photo, an address of an event, or an address of customers or users;

social relationship data of a creator or a recipient of the product; or

time based data determined based on one or more of: a time of an event, a time when a photo was taken, or a time when a message was sent;

wherein the determining of the particular additional content based on the particular pair is a search that requires comparisons between non-directed graphs having a plurality of nodes, wherein the nodes represent transform invariant features, wherein a time for comparison performed as a series of instructions on computing machinery increases based on a number of comparisons, and wherein several transform invariant features exceeds practical limits of user interaction time.

Assignments (1)

Continuity (1)

References Cited (70)