System and method for tagging data
A system and method are provided for tagging data. The method is executed by a device having a communications module and includes providing, via the communications module, to a client device, an option to associate tags with an event, the option enabling a tag to be selected, created, or customized to add context to the event. The method also includes receiving via the communications module, from the client device, tagged data added by the client device, associating the tagged data with the event, and storing the tagged data in a database of tagged data from a plurality of client devices, the database of tagged data being associated with a plurality of events. The method also includes using the database of tagged data to generate or train an associative model, and using the associative model to generate at least one suggested tag based on associations between the plurality of client devices.
1. A server device for tagging data, the server device comprising:
a processor;
a communications module coupled to the processor; and
a memory coupled to the processor, the memory storing computer executable instructions that when executed by the processor cause the processor to:
provide via the communications module, to a remote client device, a tagging user interface of a first application, the tagging user interface having an option to associate tags with an event, the option enabling a tag to be selected, created, or customized to add context to the event;
receive via the communications module, from the remote client device, tagged data entered into the tagging user interface displayed on the remote client device;
associate the received tagged data with the event;
store the received tagged data in a database of tagged data received from a plurality of client devices, the database of tagged data being associated with a plurality of events;
use the database of tagged data to generate or train an associative model;
make the trained associative model available to a searching function of the first application; and
make the searching function available to a second application, separate from the first application, wherein the second application is restricted from accessing the database of tagged data;
use the trained associative model to generate, and provide to the first application, at least one suggested tag based on associations between the plurality of client devices; and
use the searching function with the second application to search another set of data that is not the database of tagged data.
2. The server device of claim 1 , wherein the computer executable instructions further cause the processor to:
provide, via the communications module, to the remote client device or another remote client device, the at least one suggested tag for use with the option to associate tags.
3. The server device of claim 2 , wherein one or more of the at least one suggested tag indicates that users like a user of the remote client device or the other remote client device have tagged similar events using the suggested tag.
4. The server device of claim 1 , wherein the option to associate tags displays a plurality of existing tags on a display screen of the remote client device.
5. The server device of claim 4 , wherein at least one of the plurality of existing tags is a suggested tag.
6. The server device of claim 1 , wherein the searching function is used by the first application or the second application to display information associated with events.
7. The server device of claim 1 , wherein the second application is implemented on the remote client device or another remote client device.
8. The server device of claim 1 , wherein the computer executable instructions further cause the processor to:
train the associative model using data associated with the event.
9. The server device of claim 8 , wherein the data associated with the event is obtained from at least one of: an existing event description, and a user-generated association generated through use of the option.
10. The server device of claim 8 , wherein the data associated with the event is obtained from a transaction receipt.
11. The server device of claim 1 , wherein training the associative model comprises building a group of related models that are used to produce word embeddings.
12. A method of tagging data, the method executed by a device having a communications module and comprising:
providing, via the communications module, to a remote client device, a tagging user interface of a first application, the tagging user interface having an option to associate tags with an event, the option enabling a tag to be selected, created, or customized to add context to the event;
receiving via the communications module, from the remote client device, tagged data entered into the tagging user interface displayed on the remote client device;
associating the received tagged data with the event;
storing the received tagged data in a database of tagged data received from a plurality of client devices, the database of tagged data being associated with a plurality of events;
using the database of tagged data to generate or train an associative model;
making the trained associative model available to a searching function of the first application;
making the searching function available to a second application, separate from the first application, wherein the second application is restricted from accessing the database of tagged data;
using the trained associative model to generate, and provide to the first application, at least one suggested tag based on associations between the plurality of client devices; and
using the searching function with the second application to search another set of data that is not the database of tagged data.
13. The method of claim 12 , further comprising:
providing via the communications module to the remote client device or another remote client device, the at least one suggested tag for use with the option to associate tags.
14. The method of claim 12 , further comprising:
training the associative model using data associated with the event.
15. The method of claim 12 , wherein training the associative model comprises building a group of related models that are used to produce word embeddings.
16. The method of claim 12 , wherein one or more of the at least one suggested tag indicates that users like a user of the remote client device or the other remote client device have tagged similar events using the suggested tag.
17. The method of claim 12 , wherein the searching function is used by the first application or the second application to display information associated with events.
18. The method of claim 12 , wherein the second application is implemented on the remote client device or another remote client device.
19. The method of claim 12 , further comprising:
updating the searching function; and
providing the second application access to the updated searching function.
20. A non-transitory computer readable medium for tagging data, the computer readable medium comprising computer executable instructions for:
providing, via a communications module, to a remote client device, a tagging user interface of a first application, the tagging user interface having an option to associate tags with an event, the option enabling a tag to be selected, created, or customized to add context to the event;
receiving via the communications module, from the remote client device, tagged data entered into the tagging user interface displayed on the remote client device;
associating the received tagged data with the event;
storing the received tagged data in a database of tagged data received from a plurality of client devices, the database of tagged data being associated with a plurality of events;
using the database of tagged data to generate or train an associative model;
making the trained associative model available to a searching function of the first application;
making the searching function available to a second application, separate from the first application, wherein the second application is restricted from accessing the database of tagged data; and
using the trained associative model to generate, and provide to the first application, at least one suggested tag based on associations between the plurality of client devices; and
using the searching function with the second application to search another set of data that is not the database of tagged data.