IDENTIFYING DATA FROM KEYWORD SEARCHES OF COLOR PALETTES AND COLOR PALETTE TRENDS

• US 20150379003A1
• Filed: 06/26/2014
• Published: 12/31/2015
• Est. Priority Date: 06/26/2014
• Status: Active Grant

• Current Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Original Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Inventors: Dorner, Charles Shearer, Blackburn, Jenny Ann, Ong, Timothy Andrew, Sayre, Paul Barnhart III
• Granted Patent: US 9,922,050 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/54 Browsing; Visualisation therefor
• CPC Class Codes: G06F 16/58 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually

Abstract

Systems and methods are described herein to determine data associated with color palettes identified from keyword searches. Color palettes may be searched by name or other data associated with the color palettes. Color palettes may include colors determined by human color preferences and/or may be associated with human votes. Furthermore, color palettes may be filtered by trends and/or times of the color palettes. Various user interfaces may be based at least in part on the keyword searching and/or trending techniques for color palettes.

Claims

1. A system comprising:

a data store configured to store at least a plurality of color palettes and a plurality of images, wherein each color palette of the plurality of color palettes comprises a name and a plurality of colors, wherein each image of the plurality of images comprises one or more colors, and wherein each image of the plurality of images is associated with an item type; and

a hardware processor in communication with the data store, the hardware processor configured to execute computer-executable instructions to at least;

receive a search phrase;

select a subset of color palettes from the plurality of color palettes based at least in part on the search phrase matching at least one name of the subset of color palettes;

select a priority color palette from the subset of color palettes, wherein the priority color palette is selected from the subset of color palettes based at least in part on a creation time of the priority color palette being within a threshold period of time;

identify a first subset of the plurality of images matching a first color of the priority color palette, wherein the identification of the first subset of the plurality of images is based at least in part on a first item type associated with the first subset of the plurality of images;

identify a second subset of the plurality of images matching a second color of the priority color palette, wherein the identification of the second subset of the plurality of images is based at least in part on a second item type associated with the second subset of the plurality of images; and

provide the first subset of the plurality of images and the second subset of the plurality of images for presentation.

2. The system of claim 1, wherein the priority color palette is further selected from the subset of color palettes based at least in part on the creation time of the priority color palette being a latest creation time of the subset of color palettes.

3. The system of claim 1, wherein the priority color palette is further selected from the subset of color palettes based at least in part on an update time of the priority color palette.

4. The system of claim 1, wherein the priority color palette is further selected from the subset of color palettes based at least in part on votes associated with the priority color palette.

5. The system of claim 1, wherein at least one color palette of the plurality of color palettes comprises human generated data.

6. The system of claim 1, wherein the hardware processor is further configured to execute computer-executable instructions to at least:

receive detection of user input, associated with the first item type, indicating a third color of the priority color palette;

identify a third subset of the plurality of images matching the third color of the priority color palette, wherein the identification of the third subset of the plurality of images is based at least in part on the first item type being associated with the third subset of the plurality of images; and

provide the third subset of the plurality of images for presentation.

7. A computer-implemented method comprising:

under control of a hardware computing device configured with specific computer-executable instructions,

receiving a search phrase;

determining a plurality of color palettes based at least in part on the search phrase being associated with the plurality of color palettes, wherein each color palette of the plurality of color palettes comprises one or more colors;

selecting a subset of color palettes from the plurality of color palettes, wherein the subset of color palettes is selected based at least in part on votes associated with each color palette of the subset of color palettes; and

identifying, for each color of the plurality of colors of the subset of color palettes, an image corresponding to the color.

8. The computer-implemented method of claim 7, wherein the subset of color palettes is further selected based at least in part on a threshold number of color palettes with highest respective votes from the plurality of color palettes.

9. The computer-implemented method of claim 7, wherein the subset of color palettes is further selected based at least in part on a time associated with each color palette of the subset of color palettes.

10. The computer-implemented method of claim 9, wherein the votes are weighted by the time associated with each color palette of the subset of color palettes.

11. The computer-implemented method of claim 9, wherein the time associated with each color palette comprises at least one of a creation time or an update time.

12. The computer-implemented method of claim 7, wherein at least one color palette of the plurality of color palettes comprises human generated data.

13. The computer-implemented method of claim 7, wherein the search phrase is based at least in part on user input.

14. The computer-implemented method of claim 7, further comprising:

identifying an item based at least in part on the identified image; and

determining metadata associated with the identified item.

15. A non-transitory computer-readable storage medium storing computer executable instructions that when executed by a processor perform operations comprising:

receiving a search phrase;

determining a plurality of color palettes based at least in part on the search phrase being associated with the plurality of color palettes, wherein each color palette of the plurality of color palettes comprise one or more colors;

selecting a subset of color palettes from the plurality of color palettes, wherein the subset of color palettes is selected based at least in part on a time associated with each color palette of the subset of color palettes; and

identifying, for each color of the plurality of colors of the subset of color palettes, an image corresponding to the color.

16. The non-transitory computer-readable storage medium of claim 15, wherein the time associated with each color palette comprises at least one of a creation time or an update time.

17. The non-transitory computer-readable storage medium of claim 15, wherein the subset of color palettes is further selected based at least in part on the time being within a time range.

18. The non-transitory computer-readable storage medium of claim 15, wherein the subset of color palettes is further selected based at least in part on votes associated with each color palette of the plurality of color palettes.

19. The non-transitory computer-readable storage medium of claim 15, wherein at least one color palette of the plurality of color palettes comprises human generated data.

20. The non-transitory computer-readable storage medium of claim 15, wherein the search phrase is based at least in part on user input.