Adaptive direct transaction for network client group

• US 6,963,899 B1
• Filed: 09/14/2001
• Issued: 11/08/2005
• Est. Priority Date: 09/01/1998
• Status: Expired due to Fees

• Current Assignee: Dennis Fernandez, Fernandez & Associates LLP
• Original Assignee: Dennis Fernandez
• Inventors: Fernandez, Dennis S., Hu, Irene
• Primary Examiner(s): Etienne, Ario
• Assistant Examiner(s): NGUYEN, THU HA T
• Application Number:
  US09/952,285
• Time in Patent Office: 1,516 Days
• Field of Search: 709/203, 709/205, 709/218, 709/223, 707/1, 707/3, 707/10, 701/213, 705/14, 705/30
• US Class Current: 709/203
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0222 During e-commerce, i.e. online transactions
• CPC Class Codes: G06Q 30/0239 Online discounts or incentives
• CPC Class Codes: G06Q 30/0251 Targeted advertisements
• CPC Class Codes: G06Q 30/0253 During e-commerce, i.e. online transactions
• CPC Class Codes: G06Q 30/0277 Online advertisement
• CPC Class Codes: G06Q 30/0625 Directed, with specific intent or strategy
• CPC Class Codes: G06Q 40/12 Accounting
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04L 67/53 using third party service providers
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: Y10S 707/99931 Database or file accessing
• CPC Class Codes: Y10S 707/99933 Query processing, i.e. searching

Abstract

Internet-based software and associated database provide group analysis overlay to monitor client-server web traffic and provide direct marketing to client group. Client car, patient, office or school sensor and interface provides overlay attribute for database comparison to classify usage pattern, location, timing, or family for targeted messaging for enhanced service from server source. Database group registry tracks client classification and provides adaptive context mapping according to set attribute relative to targeted on-line transaction.

Claims

1. In a network comprising a server coupled to one or more clients, a method for directed on-line commerce comprising the steps of:

determining for each client one or more client attributes according to data received from one or more sensor interfaces, wherein the one or more client attributes determination is provided by a server, at least one sensor interface electronically accessing one or more client sensor coupled locally to an associated client for real-time monitoring or configuration thereof, each associated client being coupled locally to a particular client sensor, such particular client sensor being physically embedded in or electronically integrated with its associated client, one or more client sensor physically detecting one or more client attribute, thereby enabling such client sensor automatically to generate an electronic digital feedback or control signal for real-time monitoring or configuration of such client sensor;

classifying each client into a first client set according to the determined one or more client attributes; and

directing one or more messages in response to the set classification, wherein the directed one or more messages is provided by the server to the one or more clients classified into the first client set.

2. The method of claim 1 wherein the one or more client attributes comprises a monitored location, a time value, one or more conditions, or an affiliation associated with one or more client selections.

3. The method of claim 1 wherein the step of classifying each client comprises comparing the one or more client attributes with another attribute stored in a memory.

4. The method of claim 1 wherein the one or more clients are classified in the first client set according to a determined substantial similarity or recognizable pattern.

5. The method of claim 1 further comprising the step of:

determining by a server a second attribute of each client;

classifying each client into the same first or a second client set according to the second attribute; and

directing a second message by the server to the one or more clients classified in the second set.

6. The method of claim 1 wherein the directed one or more messages provided in response to the set classification comprises a commercial offering, the commercial offering comprising an application program, a still image, or a video stream.

7. A client for coupling to a server in a network, the client comprising:

an interface;

a processor; and

a sensor;

wherein the interface is accessible by a server coupled to a network, whereby the processor selectively provides a network access in response to a signal provided by the sensor, the sensor being electronically accessible for real-time monitoring or configuration, the sensor coupled locally to an associated client for physically detecting one or more client attributes, thereby enabling such sensor automatically to generate the signal for electronic digital feedback or control during real-time monitoring or configuration of the sensor, the interface classified in a set according to a data value of the sensor signal, and the interface receiving first network signal according to the classified set, the associated client being coupled locally to the sensor, the sensor being physically embedded in or electronically integrated with the associated client.

8. The client of claim 7 wherein the data value of the generated sensor signal comprises a monitored location, a time value, or a condition or an affiliation associated with the client.

9. The client of claim 7 wherein the generated sensor signal is stored in a database, and the interface is classified by comparing the generated signal with another stored data provided in the database.

10. The client of claim 9 wherein the generated sensor signal is compared with another generated signal to determine a substantial similarity or recognizable pattern.

11. The client of claim 7 wherein the processor provided the network access in response to a second signal generated by the sensor, and wherein the interface being classified in a second client set according to the second sensor signal, the interface being classified in a second set according to the second sensor signal, the interface receiving a second network signal according to the second set.

12. The client of claim 7 wherein the first network signal comprises a commercial offering comprising an application program, a still image, or a video stream.

13. The client of claim 7 wherein the sensor comprises a global positioning satellite system (GPS) receiver for determining the position of a client.

14. The client of claim 7 wherein the interface further comprises a web browser application for accessing the network.

15. The client of claim 14 wherein the network access through the web browser application is secured by the sensor determining a customer identification of user.

16. The client of claim 7 wherein the interface sends a transaction signal in response to the first network signal.

17. A networking method for coupling a plurality of nodes, the networking method comprising:

receiving one or more client attribute signals from a first node, at least one client attribute signal being generated electronically by one or more client sensor for real-time monitoring or configuration thereof, one or more client sensor coupled locally to an associated client for physically detecting one or more client attributes, thereby enabling such client sensor automatically to generate an electronic digital feedback or control signal for real-time monitoring or configuration of such client sensor, each associated client being coupled locally to a particular client sensor, such particular client sensor being physically embedded in or electronically integrated with its associated client;

transmitting the one or more attribute signals to a second node for classifying the first node in a group according to the one or more attribute signals;

receiving a message signal from the second node; and

transmitting the message signal to one or more nodes classified in the group.

18. The networking method of claim 17 further comprising:

receiving a second attribute signal from a third node;

transmitting the second attribute signal to the second node for classifying the third node in the group according to the second attribute signal;

receiving a second message signal from the second node; and

transmitting the second message signal to one or more nodes classified in the group.