GENERATING AND DETERMINING ADDITIONAL CONTENT AND PRODUCTS BASED ON PRODUCT-TOKENS
In some embodiments, a computer-implemented method comprises: preloading and updating, on a user device, a set of graphs of transform invariant features product-token pairs (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, or others; receiving, using a client application executing on the user device, a user request for additional contents related to an object; constructing, for the object, an object GTIF product-token capturing transform invariant features identified for the object; determining whether the object GTIF product-token matches a particular pair of the set of GTIF product-token pairs; in response to determining that the object 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.
1 . A method comprising:
preloading and updating, on a user device, a set of graphs of transform invariant features product-token pairs (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 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 GTIF product token and a representation of a digital object provided by the user device;
receiving, using a client application executing on the user device, a user request for additional contents related to an object;
constructing, for the object, an object GTIF product-token capturing transform invariant features identified for the object;
determining whether the object GTIF product-token matches a particular pair of the set of GTIF product-token pairs;
in response to determining that the object 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.
2 . The method of claim 1 , further comprising:
in response to determining that the object GTIF product-token does not match any pair of the set of GTIF product-token pairs:
accessing a second set of GTIF product-tokens pairs that is different from the set of GTIF product-tokens pairs;
determining whether the object GTIF product-token matches a second particular pair of the second set of GTIF product-token pairs;
in response to determining that the object GTIF product-token matches the second particular pair, determining particular additional content based on the second particular pair, and displaying the particular additional content on the user device.
3 . The method of claim 1 , wherein a GTIF product-token for a product 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 invariant features are features that remain invariant of any 2D transformation performed on the features of the product.
4 . 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.
5 . The method of claim 1 , wherein a 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.
6 . The method of claim 1 , wherein finding additional content that is related to the object 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.
7 . The method of claim 1 , wherein a GTIF product-token is generated 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).
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:
preloading and updating, on a user device, a set of graphs of transform invariant features product-token pairs (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 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 GTIF product token and a representation of a digital object provided by the user device;
receiving, using a client application executing on the user device, a user request for additional contents related to an object;
constructing, for the object, an object GTIF product-token capturing transform invariant features identified for the object;
determining whether the object GTIF product-token matches a particular pair of the set of GTIF product-token pairs;
in response to determining that the object 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.
9 . The one or more non-transitory computer readable storage media of claim 8 , storing additional instructions for:
in response to determining that the object GTIF product-token does not match any pair of the set of GTIF product-token pairs:
accessing a second set of GTIF product-tokens pairs that is different from the set of GTIF product-tokens pairs;
determining whether the object GTIF product-token matches a second particular pair of the second set of GTIF product-token pairs;
in response to determining that the object GTIF product-token matches the second particular pair, determining particular additional content based on the second particular pair, and displaying the particular additional content on the user device.
10 . The one or more non-transitory computer readable storage media of claim 8 , wherein a GTIF product-token for a product 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 invariant features are features that remain invariant of any 2D transformation performed on the features of the product.
11 . 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.
12 . The one or more non-transitory computer readable storage media of claim 8 , wherein a 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.
13 . The one or more non-transitory computer readable storage media of claim 8 , wherein finding additional content that is related to the object 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.
14 . The one or more non-transitory computer readable storage media of claim 8 , wherein a GTIF product-token is generated 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).
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:
preloading and updating, on a user device, a set of graphs of transform invariant features product-token pairs (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 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 GTIF product token and a representation of a digital object provided by the user device;
receiving, using a client application executing on the user device, a user request for additional contents related to an object;
constructing, for the object, an object GTIF product-token capturing transform invariant features identified for the object;
determining whether the object GTIF product-token matches a particular pair of the set of GTIF product-token pairs;
in response to determining that the object 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.
16 . The custom product computer system generator of claim 15 , storing additional instructions for:
in response to determining that the object GTIF product-token does not match any pair of the set of GTIF product-token pairs:
accessing a second set of GTIF product-tokens pairs that is different from the set of GTIF product-tokens pairs;
determining whether the object GTIF product-token matches a second particular pair of the second set of GTIF product-token pairs;
in response to determining that the object GTIF product-token matches the second particular pair, determining particular additional content based on the second particular pair, and displaying the particular additional content on the user device.
17 . The custom product computer system generator of claim 15 , wherein a GTIF product-token for a product 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 invariant features are features that remain invariant of any 2D transformation performed on the features of the product.
18 . 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.
19 . The custom product computer system generator of claim 15 , wherein a 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 finding additional content that is related to the object 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;
wherein a number of transform invariant features exceeds practical limits of user interaction time.
20 . The custom product computer system generator of claim 15 , wherein a GTIF product-token is generated 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).