1. A computer-implemented method including computer-executable instructions stored on a computer-readable storage media, the method implemented by a processor executing the instructions, the method comprising:
providing a dynamic advertisement including a plurality of elements for display on a user device, each element of the dynamic advertisement configured to receive a device interaction from the user device;
receiving data representative of a device interaction with at least one of the plurality of elements;
identifying an item based on the data received; and
determining a marketing response based on the identified item.
2. The method of claim 1, further comprising determining a number of device interactions associated with the item from the user device.
3. The method of claim 2, wherein determining a marketing response comprises creating an interest list if the number of device interactions associated with the item from the user device exceeds a predetermined threshold.
4. The method of claim 2, wherein determining a marketing response comprises updating an interest list if the number of device interactions associated with the item from the user device exceeds a predetermined threshold.
5. The method of claim 1, wherein the dynamic advertisement includes a first advertisement for the item, said determining a marketing response comprises generating a second advertisement for the item as a result of the device interaction.
6. The method of claim 5, further comprising adjusting a price associated with the second advertisement as a result of the device interaction.
7. The method of claim 1, further comprising constructing the dynamic advertisement based on known characteristics of the user device.
8. The method of claim 7, wherein the known characteristics of the user device are stored in a user profile, said method further comprising updating the user profile using the data representative of the device interaction.
9. The method of claim 1, further comprising:
receiving data representative of a plurality of device interactions from a plurality of user devices with a plurality of dynamic advertisements; and
determining the marketing response based on the data representative of the plurality of device interactions.
10. The method of claim 9, further comprising:
identifying a first interest list associated with a first device interaction of the plurality of device interactions;
identifying a second interest list associated with a second device interaction of the plurality of device interactions; and
combining the first interest list and the second interest list to create a third interest list based on the data representative of the plurality of device interactions.
11. The method of claim 1, further comprising:
determining, for a group of user devices, a number of device interactions associated with the item; and
updating an interest list if the number of interactions by the user devices included within the user device group exceeds a predetermined threshold by adding each of the user devices included within the user device group to the interest list.
12. The method of claim 1, further comprising determining a number of device interactions associated with a category assigned to the item, wherein each category is predefined and based at least in part on an attribute of the item.
13. A computer system comprising:
at least one processor; and
at least one memory comprising computer-executable instructions that, when executed by said at least one processor, cause said at least one processor to:
receive a web request from a user device;
provide a dynamic advertisement and an interaction reporter to the user device, wherein the dynamic advertisement includes a plurality of elements for display on the user device, each element of the dynamic advertisement configured to receive a device interaction from the user device;
receive data representative of a device interaction with at least one of the plurality of elements from the interaction reporter;
identify an item based on the data received; and
determine a marketing response based on the identified item.
14. The computer system of claim 13, wherein, when executed by said at least one processor, the computer-executable instructions further cause said at least one processor to determine a number of device interactions associated with the item from the user device.
15. The computer system of claim 13, wherein, when executed by said at least one processor, the computer-executable instructions further cause said at least one processor to determine the marketing response to include creating an interest list if the number of device interactions associated with the item from the user device exceeds a predetermined threshold.
16. The computer system of claim 14, wherein, when executed by said at least one processor, the computer-executable instructions further cause said at least one processor to determine the marketing response to include updating an interest list if the number of device interactions associated with the item from the user device exceeds a predetermined threshold.
17. The computer system of claim 13, wherein the dynamic advertisement includes a first advertisement for the item, and wherein, when executed by said at least one processor, the computer-executable instructions further cause said at least one processor to determine the marketing response to include generating a second advertisement for the item as a result of the device interaction.
18. The computer system of claim 17, wherein, when executed by said at least one processor, the computer-executable instructions further cause said at least one processor to provide the second advertisement to the user device with an adjusted price for the item as a result of the user interaction.
19. The computer system of claim 13, wherein, when executed by said at least one processor, the computer-executable instructions further cause said at least one processor to construct the dynamic advertisement based on known characteristics of the user device.
20. The computer system of claim 19, wherein the characteristics of the user device are stored within a user profile, and wherein, when executed by said at least one processor, the computer-executable instructions further cause said at least one processor to update the user profile using the data representative of the device interaction.
21. The computer system of claim 13, wherein, when executed by said at least one processor, the computer-executable instructions further cause said at least one processor to:
receive data representative of a plurality of device interactions from a plurality of user devices with a plurality of dynamic advertisements; and
determine the marketing response based on the data representative of the plurality of device interactions.
22. The computer system of claim 21, wherein, when executed by said at least one processor, the computer-executable instructions further cause said at least one processor to:
identify a first interest list associated with a first device interaction of the plurality of device interactions;
identify a second interest list associated with a second device interaction of the plurality of device interactions; and
combine the first interest list and the second interest list to create a third interest list based on the data representative of the plurality of device interactions.
23. Computer-readable storage media having computer-executable instructions embodied thereon, wherein, when executed by at least one processor, the computer-executable instructions cause the processor to:
provide a dynamic advertisement including a plurality of elements for display on a user device, each element of the dynamic advertisement configured to receive a device interaction from the user device;
receive data representative of a device interaction with at least one of the plurality of elements;
identify an item based on the data received; and
determine a marketing response based on the identified item.
24. The computer program product of claim 23, further comprising instructions that when executed cause the processor to determine a number of device interactions associated with the item from the user device.
25. The computer program product of claim 24, further comprising instructions that when executed cause the processor to create an interest list if the number of device interactions associated with the item from the user device exceeds a predetermined threshold.
26. The computer program product of claim 24, further comprising instructions that when executed cause the processor to update an interest list if the number of device interactions associated with the item from the user device exceeds a predetermined threshold.
27. The computer program product of claim 23, wherein the dynamic advertisement includes a first advertisement for the item, said computer program product further comprising instructions that when executed cause the processor to generate a second advertisement for the item as a result of the device interaction.
The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.
1-10. (canceled)
11. A process for repairing materials used in manufacturing non-structural aircraft interior components, comprising the steps of
laying fiberglass over a damaged surface; and,
adhering the fiberglass to the damaged surface with a fast-acting glue containing at least one of cyanoacrylate and a cyanoacrylate activator, thereby repairing the damaged surface.
12. The process for repairing materials used in manufacturing non-structural interior components according to claim 11, wherein the fiberglass is formed as a fiberglass mat.
13. The process for repairing materials used in manufacturing non-structural interior components according to claim 12, wherein the fiberglass mat includes an adhesive backing for providing an initial bond with the damaged surface.
14. The process for repairing material used in manufacturing non-structural interior components according to claim 13, wherein the adhesive backing is a rubber-acrylic compound elastomeric-adhesive resin that flexibly adheres the fiberglass mat to the damaged surface.
15. A process for removing pen marks and pencil marks from a synthetic leather material, comprising the step of:
applying a cyanoacrylate activator to a synthetic leather material for removing a pen mark or a pencil mark.
16. The process for removing pen marks and pencil marks from a synthetic material according to claim 15, wherein said step of applying a cyanoacrylate activator to a synthetic leather material includes the sub-steps of:
stroking the cyanoacrylate activator over the pen mark or pencil mark to be removed using a brush until the pen mark or pencil mark fades;
dabbing the synthetic leather material with a cloth;
allowing the synthetic leather material to dry; and,
repeating said steps of stroking the cyanoacrylate activator over the pen mark or pencil mark, dabbing the synthetic leather material with a cloth and allowing the synthetic leather material to dry until the pen mark or pencil mark becomes unnoticeable.
17. The process for removing pen marks and pencil marks from a synthetic material according to claim 16, further including the sub-steps of:
spraying the synthetic leather material with an aviation cleaner; and,
lightly wiping areas of the pen mark or pencil mark with a cloth for removing any halo effect that may have appeared while removing the pen mark or pencil mark.
18. The process for removing pen marks and pencil marks from a synthetic material according to claim 15, wherein the cyanoacrylate activator includes acetone and an amine.