Universal network market system

• US 20060041478A1
• Filed: 08/18/2005
• Published: 02/23/2006
• Est. Priority Date: 06/01/2004
• Status: Abandoned Application

• Current Assignee: Jinbi Zheng
• Original Assignee: Lyhoo, Inc.
• Inventors: Zheng, Zhiliang
• Application Number:
  US11/206,512
• Publication Number:
  US 20060041478A1
• Time in Patent Office: Days
• US Class Current: 705/14.560
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0258 Registration
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute

Abstract

A method and system for selecting and presenting advertisements and promotions to a user based on one or more tasks that is of interest to the user is disclosed.

Claims

1. A method for advertising, the method comprising the computer-implemented acts of:

obtaining information, from a user, on at least one task that is of interest to said user when said user is online; and

selecting advertisements based on said information, wherein said selected advertisements are for presenting to said user.

2. The method of claim 1, further comprising:

selecting at least one expert solution directed to said at least one task based on said information;

identifying items for implementing said at least one expert solution, wherein said items comprise one or more of products, and services; and

presenting said items to user for selection.

3. The method of claim 1, wherein presenting advertisements includes selecting advertisements based on selected items selected by said user when said user is presented with a list of items identified for accomplishing said at least one task.

4. The method of claim 1, wherein selecting advertisements includes selecting advertisements based on said at least one task.

5. The method of claim 1, wherein selecting advertisements includes selecting advertisements based other tasks that are related to said at least one task.

6. The method of claim 4, further comprising selecting up-selling type advertisements.

7. The method of claim 4, further comprising selecting cross-selling type advertisements.

8. The method of claim 1, wherein selecting advertisements occurs dynamically while said user remains online.

9. The method of claim 1, further comprising storing, on a database, said information on said at least one task, identification of at least one expert solution directed to said at least one task, and identification of items for implementing said at least one expert solution, demographic information on said user, and user input.

10. The method of claim 9, wherein selecting advertisements occurs when said user is offline by analyzing information stored on said database.

11. The method of claim 1, wherein obtaining information on said at least one task further comprises allowing said user to describe said at least one task.

12. The method of claim 1, wherein obtaining information on said at least one task further comprises providing a catalog of tasks and said user selects said at least one task from said catalog.

13. The method of claim 1, wherein obtaining information on said at least one task further comprises:

receiving one or more queries from said user;

obtaining demographic information on said user; and

recommending, to said user for selection, a plurality of tasks based on said one or more queries in view of said demographic information.

14. The method of claim 1, wherein obtaining information on said at least one task further comprises:

providing a list plurality of expert solutions on a variety of tasks to said user;

permitting said user to select an expert solution that is of interest to said user;

identifying said at least one task based on an expert solution selected by said user.

15. The method of claim 14, further comprising:

permitting a registered user to obtain a complete view of said user selected expert solution.

16. The method of claim 14, further comprising:

permitting an unregistered user to obtain a partial view of said user selected expert solution, wherein said unregistered user is permitted to obtain a complete view of said user selected expert solution when said unregistered user recruits a pre-determined number of users to register.

17. A system for advertising, the system comprising:

one or more analysis engines for analyzing user queries, user demographic information, user input for identifying one or more tasks that are of interest to a user;

a relational database for managing information on said user queries, said user demographic information, said user input and advertisement information; and

logic for selection of particular advertisements that are based on said identified one or more tasks.

18. The system of claim 17, further comprising:

a provisioning mechanism for providing expert solutions to said user;

logic for identifying sub-tasks and related tasks associated with said identified one or more tasks that are of interest to said user; and

logic for identifying advertisements associated with said sub-tasks and said related tasks.

19. A system for advertising, the system comprising:

means for identifying one or more tasks that are of interest to a user;

means for gathering information needed for selecting advertisements based on said identified one or more tasks; and

means for analyzing said gathered information for selecting advertisement to present to said user.

20. The system of claim 19, further comprising:

means for providing expert solutions to said user; and

means for identifying sub-tasks and related tasks associated with said identified one or more tasks that are of interest to said user.