METHOD OF PROVIDING CUSTOMIZED INFORMATION OF COMMODITY FOR ON-LINE SHOPPING MALL USERS

• US 20080004986A1
• Filed: 09/19/2007
• Published: 01/03/2008
• Est. Priority Date: 03/22/2005
• Status: Active Grant

• Current Assignee: Naver Corporation
• Original Assignee: NHN Corporation
• Inventors: CHOE, JEONG OK
• Granted Patent: US 7,908,184 B2
• Time in Patent Office: Days
• US Class Current: 705/26
• CPC Class Codes: G06Q 30/00 Commerce
• CPC Class Codes: G06Q 30/0625 Directed, with specific intent or strategy
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G06Q 30/0641 Shopping interfaces

Abstract

Disclosed is a method of providing customized product information. The method includes maintaining a basic index database for recording basic index data associated with a plurality of users for each product model, extracting the basic index data of the user corresponding to a predetermined classification standard from the basic index database, generating point information associated with each product model by calculating the extracted basic index data, and displaying each product model on a predetermined webpage according to the generated point information.

Claims

1. A method of operating an on-line shopping mall, the method comprising:

providing a database comprising shopping activity data representing on-line shopping activities of shoppers with regard to goods for sale in the on-line shopping mall, wherein the database further comprise information about the shoppers for use to determine that a shopper belongs to at least one of a plurality of predetermined groups;

receiving an input from a user submitted for the on-line shopping mall;

upon receipt of the input, determining which a first one of the plurality of predetermined groups the user belongs to;

subsequently processing the shopping activity data so as to prioritize popularity of at least part of the goods by the first predetermined group; and

transmitting, to a terminal associated with the user, data for displaying a prioritized list of goods that are popular to the first predetermined group.

2. The method of claim 1, wherein the on-line shopping mall comprises links configured to open a plurality of on-line stores registered with the on-line shopping mall.

3. The method of claim 1, wherein the on-line shopping activities comprises at least one selected from the group consisting of clicking links for web pages comprising descriptions of goods, clicking links for web pages of on-line stores of goods, and purchase transactions of goods from on-line stores.

4. The method of claim 3, further comprising updating the database as the at least one on-line shopping activity is reported.

5. The method of claim 1, wherein the user input comprises profiling information of the user.

6. The method of claim 5, wherein the profiling information comprises at least of an age and a gender of the user.

7. The method of claim 1, wherein the user input comprises a username with or without a password of the user.

8. The method of claim 1, wherein determining comprises referring to pre-recorded user account information.

9. The method of claim 8, wherein the pre-recorded user account information comprises at least one of an age and a gender of the user.

10. The method of claim 1, further comprising receiving at least one product category, which the user is desired to purchase or research on.

11. The method of claim 10, wherein processing further comprises:

searching in the database for products using the user'"'"'s desired product category; and

prioritizing popularity of the searched products by the first predetermined group.

12. The method of claim 1, wherein processing comprises:

computing a score for each of the at least part of goods using the on-line shopping activities involving each of the at least part of goods; and

prioritizing the at least part of goods based on the scores thereof.

13. The method of claim 12, wherein computing comprises:

retrieving, from the database, an accumulated number of each different on-line shopping activity for a period with regard to a single item of goods;

multiplying the accumulated number with a preassigned weight for each different on-line shopping activity so as to obtain a multiplied value; and

summing the multiplied values of the different on-line shopping activities to obtain the score for the single item.

14. The method of claim 13, wherein the on-line shopping activities comprises at least one selected from the group consisting of clicking links for web pages comprising descriptions of goods, clicking links for web pages of on-line stores of goods, and purchase transactions of goods from on-line stores, wherein the purchase transactions have a preassigned weight which is larger than that of clicking links for web pages comprising descriptions of goods and clicking links for web pages of on-line stores of goods.

15. A method of displaying goods for sale in an on-line shopping mall, the method comprising:

submitting an input of a user to an on-line shopping mall;

submitting a desired product category to the on-line shopping mall;

receiving data for displaying a prioritized list of goods that are belonging to the desired product category and that are popular to a group of shoppers of the on-line shopping mall to which the user belongs, wherein the prioritized list is formed in response to the user'"'"'s submission of the desired product category; and

displaying on a screen the prioritized list of goods, wherein more popular goods are located above or before less popular goods on the screen.

16. The method of claim 15, wherein the user is pre-registered with the on-line shopping mall, and wherein submitting an input comprises logging in the on-line shopping mall.

17. The method of claim 15, wherein submitting an input comprises providing the on-line shopping mall with profiling information of the user.

19. The method of claim 15, wherein the prioritized list of goods is produced by a method comprising:

determining, by a server of the on-line shopping mall, which one of the plurality of predetermined groups the user belongs to; and

subsequently processing, by the server, shopping activities of the group of shoppers of the on-line shopping mall to which the user belong, so as to prioritize popularity of the goods that belong to the desired product category.

20. The method of claim 19, wherein determining comprises using at least one of an age and a gender of the user.

18. The method of claim 18, wherein the profiling information comprises at least one of an age and a gender of the user.