MERCHANDISE RECOMMENDATION DEVICE, MERCHANDISE RECOMMENDATION METHOD, AND PROGRAM

• US 20170364991A1
• Filed: 08/30/2017
• Published: 12/21/2017
• Est. Priority Date: 03/16/2015
• Status: Active Grant

• Current Assignee: Fujifilm Corporation (Fujifilm Holdings Corporation)
• Original Assignee: Fujifilm Corporation (Fujifilm Holdings Corporation)
• Inventors: NOGUCHI, Yukinori
• Granted Patent: US 10,776,854 B2
• Time in Patent Office: Days
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G06Q 30/0643 Graphical representation of items or shoppers

Abstract

There are provided a merchandise recommendation device, a merchandise recommendation method, and a program which recommend coordination merchandise based on a sensitivity word according to a trend. A merchandise recommendation device 10 includes a basic merchandise specification unit 31, a recommendation merchandise specification unit 33, and a recommendation merchandise information output unit 34. The basic merchandise specification unit 31 specifies first merchandise. The recommendation merchandise specification unit 33 specifies recommendation merchandise associated with the first merchandise, among multiple pieces of merchandise belonging to a category different from a category to the first merchandise belongs, based on trend information and coordination information based on the sensitivity word. The basic merchandise specification unit 31 outputs information of the recommendation merchandise.

Claims

1. A merchandise recommendation device comprising:

a basic merchandise specification unit that specifies first merchandise;

a recommendation merchandise specification unit that specifies recommendation merchandise which is associated with the first merchandise, among multiple pieces of merchandise belonging to a category different from a category to which the first merchandise belongs, based on trend information and coordination information based on a sensitivity word; and

a recommendation merchandise information output unit that outputs information of the recommendation merchandise.

2. The merchandise recommendation device according to claim 1, further comprising:

a trend information acquisition unit that analyzes design feature information items of multiple pieces of analyzing target merchandise, and acquires the fashion trend infoiniation.

3. The merchandise recommendation device according to claim 2,

wherein the trend information acquisition unit acquires the number of pieces of merchandise having a common design feature among the multiple pieces of analyzing target merchandise, and acquires the trend information depending on the number of pieces of merchandise having the common design feature.

4. The merchandise recommendation device according to claim 3,

wherein the trend information acquisition unit acquires the trend information depending on the number of increased or decreased pieces of merchandise having the common design feature during a reference period.

5. The merchandise recommendation device according to claim 4,

wherein the trend information acquisition unit acquires the trend information by comparing the number of increased pieces of merchandise having the common design feature during the reference period with a first threshold.

6. The merchandise recommendation device according to claim 5,

wherein the trend information acquisition unit acquires the trend infonnation depending on a season when the number of increased pieces of merchandise having the common design feature during the reference period exceeds the first threshold.

7. The merchandise recommendation device according to trend claim 3,

wherein the trend infonnation acquisition unit acquires the trend information depending on a season when the number of pieces of merchandise having the common design feature exceeds a second threshold.

8. The merchandise recommendation device according to trend claim 2,

wherein the trend information acquisition unit acquires the trend information based on the design feature information items of the multiple pieces of analyzing target merchandise in a first specification season and the design feature information items of the multiple pieces of analyzing target merchandise in a second specification season different from the first specification season.

9. The merchandise recommendation device according to trend claim 2,

wherein the trend information acquisition unit acquires representative data items of design features of the multiple pieces of analyzing target merchandise, and acquires the trend information depending on the representative data items.

10. The merchandise recommendation device according to trend claim 2,

wherein the multiple pieces of analyzing target merchandise are based on sales merchandise.

11. The merchandise recommendation device according to trend claim 2,

wherein the multiple pieces of analyzing target merchandise are based on merchandise belonging to a specific store.

12. The merchandise recommendation device according to trend claim 2,

wherein the multiple pieces of analyzing target merchandise are based on merchandise belonging to a specific brand.

13. The merchandise recommendation device according to trend claim 2,

wherein the multiple pieces of analyzing target merchandise are based on merchandise belonging to a specific community.

14. The merchandise recommendation device according to trend claim 2,

wherein the multiple pieces of analyzing target merchandise are based on merchandise belonging to an individual.

15. The merchandise recommendation device according to trend claim 2,

wherein the design feature information is based on a sensitivity word derived from at least one of color information, pattern information, shape information, or texture information.

16. The merchandise recommendation device according to trend claim 1,

wherein the first merchandise is a single piece of merchandise.

17. The merchandise recommendation device according to trend claim 1,

wherein the first merchandise is multiple pieces of merchandise.

18. The merchandise recommendation device according to trend claim 1,

wherein the recommendation merchandise is clothing accessories.

19. The merchandise recommendation device according to trend claim 1,

wherein the basic merchandise specification unit specifies the first merchandise based on terminal transmission information sent from a terminal device.

20. A merchandise recommendation method comprising:

a step of specifying first merchandise;

a step of specifying recommendation merchandise associated with the first merchandise, among multiple pieces of merchandise belonging to a category different from a category to which the first merchandise belongs, based on trend information and coordination information based on a sensitivity word; and

a step of outputting information of the recommendation merchandise.

21. A non-transitory computer readable recording medium storing a program causing a computer to perform:

a procedure of specifying first merchandise;

a procedure of specifying recommendation merchandise associated with the first merchandise, among multiple pieces of merchandise belonging to a category different from a category to which the first merchandise belongs, based on trend information and coordination information based on a sensitivity word; and

a procedure of outputting information of the recommendation merchandise.