Automated online purchasing system

• US 20030195834A1
• Filed: 09/18/2002
• Published: 10/16/2003
• Est. Priority Date: 04/10/2002
• Status: Abandoned Application

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google LLC (Alphabet Inc.)
• Inventors: Hillis, W. Daniel, Ferren, Bran
• Application Number:
  US10/246,580
• Publication Number:
  US 20030195834A1
• Time in Patent Office: Days
• US Class Current: 705/37
• CPC Class Codes: G06F 16/40 of multimedia data, e.g. slideshows comprising image and additional audio data retrieval of still image data G06F16/50; retrieval of audio data G06F16/60; retrieval of video data G06F16/70
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 40/04 Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange

Abstract

The invention uses the underlying structures and features of a knowledge web system to provide a simple, rapid, and convenient method of online purchasing. During ordinary use of a knowledge web viewer, if the annotations associated with a visible item indicate that it is available for purchase, the user is presented with an option to purchase the item. Preferably, this is accomplished through the appearance or “un-graying-out” of a buy button in a control panel region of the knowledge web viewer. The determination of the availability for sale of an item may be made using the annotations associated with the particular topics, i.e. nodes within the knowledge web labeled graph structure, visible within the knowledge web viewer. Such annotations indicate the specific vendors offering the item for sale, and may also indicate such information as pricing and availability. Annotations indicating other users'"'"' opinions of the available item may also be presented to the user so that he may make an informed purchase. If the user indicates that he wants to purchase the item, preferably by selecting the buy button, the knowledge web viewer uses the annotations to contact a vendor. If the annotations indicate that more than one vendor is available, the knowledge web viewer consults a user model to determine which of the available vendors is preferred by the user. To streamline the purchase process further, the personal information required by the vendor to transact the sale may be extracted directly from the user model, without further input from the user. Such information may include the users'"'"' preferred method of payment, method of shipment, and shipping address. Due to the structure, storage, and access privileges associated with the user model, the integrity and security of all sensitive personal information is ensured.

Claims

1. An automated online purchasing system, comprising:

a knowledge base comprising knowledge, meta-knowledge that was created at a time of entry of said knowledge, and meta-knowledge in the form of one or more annotations that accumulate over time, said annotations including any of, but not limited to, usefulness of said knowledge, additional user opinions, certifications of veracity of said knowledge, commentary by users, and connections between said knowledge and other units of knowledge;

a user learning model comprising any of;

information on a user'"'"'s needs, capabilities, knowledge, and preferences, said meta-knowledge stored in said knowledge base, and generalized knowledge about how people learn; and

a knowledge base viewer, wherein if annotations associated with a visible item within said knowledge base indicate that said item is available for purchase, said user is presented with an option to purchase said item.

2. The system of claim 1, further comprising:

a set of user tools comprising one or more tools for entering said knowledge, said meta-knowledge, and said one or more annotations into said knowledge base.

3. The system of claim 1, wherein said knowledge base viewer comprises:

a buy button, said buy button optionally having an appearance or un-graying-out in a control panel region of said knowledge base viewer if said item is available for purchase.

4. The system of claim 1, wherein a determination of availability for sale of an item is made using annotations associated with one or more particular topics which identify said item, and which may comprise nodes within a knowledge web labeled graph structure, that are visible within said knowledge web viewer.

5. The system of claim 4, wherein said annotations indicate any of specific vendors offering said item for sale, pricing, availability, and other users'"'"' opinions of an available item and/or vendor.

6. The system of claim 1, wherein if said user indicates that he wants to purchase said item, said knowledge web viewer uses said annotations to contact a vendor.

7. The system of claim 6, said user learning model further comprising:

a user model, wherein if said annotations indicate that more than one vendor is available, said knowledge web viewer consults said user model to determine which of said available vendors is preferred by said user.

8. The system of claim 1, said user learning model further comprising:

a user model, wherein personal information required by said vendor to transact a sale is extracted directly from said user model, without further input from said user.

9. The system of claim 8, wherein said personal information comprises any of said users'"'"' preferred method of payment, a method of shipment, and a shipping address.

10. The system of claim 9, said user model further comprising:

associated structure, storage, and access privileges for ensuring integrity and security of substantially all sensitive personal information.

11. The system of claim 3, said user learning model further comprising:

means for toggling said buy button on and off.

12. The system of claim 3, wherein said buy button may be selected when an item is unavailable to generate feedback that indicates there is a demand for said item.

13. An automated online purchasing method, comprising the steps of:

providing a knowledge base comprising knowledge, meta-knowledge that was created at a time of entry of said knowledge, and meta-knowledge in the form of one or more annotations that accumulate over time, said annotations including any of, but not limited to, usefulness of said knowledge, additional user opinions, certifications of veracity of said knowledge, commentary by users, and connections between said knowledge and other units of knowledge;

providing a user learning model comprising any of;

information on a user'"'"'s needs, capabilities, knowledge, and preferences, said meta-knowledge stored in said knowledge base, and generalized knowledge about how people learn; and

providing a knowledge web viewer, wherein if annotations associated with a visible item within said knowledge base indicate that said item is available for purchase, said user is presented with an option to purchase said item.

14. The method of claim 13, further comprising the step of:

providing a set of user tools comprising one or more tools for entering said knowledge, said meta-knowledge, and said one or more annotations into said knowledge base.

15. The method of claim 13, wherein said knowledge web viewer comprises:

a buy button, said buy button optionally having an appearance or un-graying-out in a control panel region of said knowledge web viewer if said item is available for purchase.

16. The method of claim 13, wherein a determination of availability for sale of an item is made using annotations associated with one or more particular topics which identify said item, and which may comprise nodes within a knowledge web labeled graph structure, that are visible within said knowledge web viewer.

17. The method of claim 16, wherein said annotations indicate any of specific vendors offering said item for sale, pricing, availability, and other users'"'"' opinions of an available item and/or vendor.

18. The method of claim 13, wherein if said user indicates that he wants to purchase said item, said knowledge web viewer uses said annotations to contact a vendor.

19. The method of claim 18, said user learning model further comprising:

a user model, wherein if said annotations indicate that more than one vendor is available, said knowledge web viewer consults said user model to determine which of said available vendors is preferred by said user.

20. The method of claim 13, said user learning model further comprising:

a user model, wherein personal information required by said vendor to transact a sale is extracted directly from said user model, without further input from said user.

21. The method of claim 20, wherein said personal information comprises any of said users'"'"' preferred method of payment, a method of shipment, and a shipping address.

22. The method of claim 21, said user model further comprising:

associated structure, storage, and access privileges for ensuring integrity and security of substantially all sensitive personal information.

23. The method of claim 15, said user learning model further comprising:

means for toggling said buy button on and off.

24. The method of claim 15, wherein said buy button may be selected when an item is unavailable to generate feedback that indicates there is a demand for said item.