System and method for content recognition over the internet

• US 20020069100A1
• Filed: 12/01/2000
• Published: 06/06/2002
• Est. Priority Date: 12/01/1999
• Status: Abandoned Application

• Current Assignee: Connectivcorp
• Original Assignee: Connectivcorp
• Inventors: Arberman, Joel
• Application Number:
  US09/728,353
• Publication Number:
  US 20020069100A1
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• 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 30/0204 Market segmentation

Abstract

A system and method for recognizing content used, searched and transmitted by user, while the user in online or offline. The method includes collecting information from one or more business partners. The collected information is organized into distinct sections or categories. A user sends a request for access to information on one or more selected topics, and in response the system makes available information on the selected topic to the user. Statistics are updated and maintained on user usage to reflect the access information.

Claims

1. A method for content recognition, comprising:

collecting information from one or more business partners;

organizing the collected information into distinct categories;

receiving a search request from a user;

transmitting information to the user in accordance with the search request; and

updating statistics on user usage to reflect the search request by the user.

2. The method of claim 1, further comprising creating segments of usage patterns, where said usage patterns are created based on the statistics on user usage by a plurality of users.

3. The method of claim 2, further comprising storing all information regarding the search request made by the user and the information transmitted to the user.

4. The method of claim 3, further comprising data mining the stored information to better customize the information being transmitted to the user.

5. The method of claim 4, further comprising transmitting non-requested information to the user, wherein the non-requested information is similar to the information transmitted to the user in response to the search request.

6. A method for content recognition, comprising:

collecting information from one or more business partners;

organizing the collected information into distinct categories;

receiving a request from a user to access information on a selected topic;

making available information on the selected topic to the user; and

updating statistics on user usage to reflect the access information.

7. The method of claim 6, wherein said access information comprises request for access to libraries of information on one or more topics.

8. The method of claim 7, further comprising creating segments of usage patterns, where said usage patterns are created based on the access information provided by a plurality of users.

9. The method of claim 8, further comprising storing the access information.

10. The method of claim 9, further comprising data mining the stored information to better customize the information being transmitted to the user.

11. The method of claim 10, further comprising transmitting non-requested information to the user, wherein the non-requested information is similar to the information transmitted to the user in response to the access information selected by the user.

13. The method of claim 12, wherein the server develops a list of interests based on the user profile.

14. The method of claim 12, further comprising monitoring usage habits of the user.

15. The method of claim 14, further comprising collecting data on the usage habits of the users, said data collected by the content recognition software after said monitoring.

16. The method of claim 15, wherein the content recognition software comprises a data collection mechanism to collect said data on usage habits of the user.

17. The method of claim 16, wherein the server collects comprehensive data on the usage habits of a plurality of users.

18. The method of claim 17, further comprising data mining the comprehensive data in the server.

19. The method of claim 18, further comprising transmitting non-requested information to the user by the server, wherein the non-requested information is similar to the information transmitted to the user in response to the search request.

12. A method for content recognition, comprising:

launching content recognition software on a personal computer;

receiving a user profile from a user;

transmitting the user profile and the list of interest to a server for data collection;

transmitting information to the user in accordance with the user profile and interests;

compiling statistics based on the user profile and the list of interests; and

creating a plurality of libraries on different topics, said libraries created based on the compiled statistics.

20. A system for content recognition, comprising:

a. a memory unit; and

b. a processing unit disposed in communication with said memory unit, said processing unit configured to;

collect information from one or more business partners,

organize the collected information into distinct categories,

receive a search request from a user,

transmit information to the user in accordance with the search request, and

update statistics on user usage to reflect the search request by the user.

21. The system of claim 20, wherein the processing unit is further configured to create segments of usage patterns, where said usage patterns are created based on the statistics on user usage by a plurality of users.

22. The system of claim 21, wherein the processing unit is further configured to store information regarding the search request made by the user and the information transmitted to the user.

23. The system of claim 22, wherein the processing unit is further configured to data mine the stored information to better customize the information being transmitted to the user.

24. The system of claim 23, wherein the processing unit is further configured to transmit non-requested information to the user, wherein the non-requested information is similar to the information transmitted to the user in response to the search request.

26. The system of claim 25, wherein said access information comprises request for access to libraries of information on one or more topics.

27. The system of claim 26, wherein the processing unit is further configured to create segments of usage patterns, where said usage patterns are created based on the access information provided by a plurality of users.

28. The system of claim 27, wherein the processing unit is further configured to store the access information.

29. The system of claim 28, wherein the processing unit is further configured to data mine the stored information to better customize the information being transmitted to the user.

30. The system of claim 29, wherein the processing unit is further configured to transmit non-requested information to the user, wherein the non-requested information is similar to the information transmitted to the user in response to the access information selected by the user.

25. A system for content recognition, comprising:

a. a memory unit; and

b. a processing unit disposed in communication with said memory unit, said processing unit configured to;

collect information from one or more business partners,

organize the collected information into distinct categories,

receive a request from a user to access information on a selected topic,

make available information on the selected topic to the user, and

update statistics on user usage to reflect the access information.

31. A system for content recognition, comprising:

a. a memory unit; and

b. a processing unit disposed in communication with said memory unit, said processing unit configured to;

launch content recognition software on a personal computer,

receive a user profile and a list of interests from a user,

transmit the user profile and the list of interest to a server for data collection,

transmit information to the user in accordance with the user profile and interests,

compile statistics based on the user profile and the list of interests, and

create a plurality of libraries on different topics, said libraries created based on the compiled statistics.

32. The system of claim 31, wherein the processing unit is further configured to monitor usage habits of the user.

33. The system of claim 32, wherein the processing unit is further configured to collect data on the usage habits of the users, said data collected by the content recognition software after said monitoring.

35. The method of claim 34, further comprising means for creating segments of usage patterns, where said usage patterns are created based on the statistics on user usage by a plurality of users.

37. The system of claim 36, further comprising means for creating segments of usage patterns, where said usage patterns are created based on the access information provided by a plurality of users.

38. The system of claim 37, further comprising means for storing the access information.

39. The system of claim 38, further comprising means for data mining the stored information to better customize the information being transmitted to the user.

40. The system of claim 39, further comprising means for transmitting non-requested information to the user, wherein the non-requested information is similar to the information transmitted to the user in response to the access information selected by the user.

34. A system for content recognition, comprising:

means for collecting information from one or more business partners;

means for organizing the collected information into distinct categories;

means for receiving a search request from a user;

means for transmitting information to the user in accordance with the search request; and

means for updating statistics on user usage to reflect the search request by the user.

36. A system for content recognition, comprising:

means for collecting information from one or more business partners;

means for organizing the collected information into distinct categories;

means for receiving a request from a user to access information on a selected topic;

means for making available information on the selected topic to the user; and

means for updating statistics on user usage to reflect the access information.

41. A system for content recognition, comprising:

means for launching content recognition software on a personal computer;

means for receiving a user profile and a list of interests from a user;

means for transmitting the user profile and the list of interest to a server for data collection;

means for transmitting information to the user in accordance with the user profile and interests;

means for compiling statistics based on the user profile and the list of interests; and

means for creating a plurality of libraries on different topics, said libraries created based on the compiled statistics.

42. The system of claim 41, further comprising means for monitoring usage habits of the user.

43. The system of claim 42, further comprising means for collecting data on the usage habits of the users, said data collected by the content recognition software after said monitoring.

44. A computer device comprising a computer readable medium having computer readable code means embodied therein for recognizing content, said computer readable code means further comprising:

means for collecting information from one or more business partners;

means for organizing the collected information into distinct categories;

means for receiving a search request from a user;

means for transmitting information to the user in accordance with the search request; and

means for updating statistics on user usage to reflect the search request by the user.

48. The method of claim 47, wherein the service provider identifies the user based on said data recognition algorithm.

49. The method of claim 48, wherein the service provider logs a variety of data about user, including usage patterns of said user.

50. The method of claim 49, wherein all interactions between the user and the service provider are stored with the service provider.

45. A computer device comprising a computer readable medium having computer readable code means embodied therein for recognizing content, said computer readable code means further comprising:

means for collecting information from one or more business partners;

means for organizing the collected information into distinct categories;

means for receiving a request from a user to access information on a selected topic;

means for making available information on the selected topic to the user; and

means for updating statistics on user usage to reflect the access information.

46. A computer device comprising a computer readable medium having computer readable code means embodied therein for recognizing content, said computer readable code means further comprising:

means for launching content recognition software on a personal computer;

means for receiving a user profile and a list of interests from a user;

means for transmitting the user profile and the list of interest to a server for data collection;

means for transmitting information to the user in accordance with the user profile and interests;

means for compiling statistics based on the user profile and the list of interests; and

means for creating a plurality of libraries on different topics, said libraries created based on the compiled statistics.

47. A method for providing content to a user, comprising:

launching content recognition software on a computer, wherein the content recognition software includes a data recognition algorithm that runs when the content recognition software is launched;

registering the content recognition software with a service provider;

transmitting a user profile to the service provider;

receiving information from the service provider in accordance with the user profile; and

selecting desired content from the received information.