Dynamic digital asset management

• US 6,189,008 B1
• Filed: 04/03/1998
• Issued: 02/13/2001
• Est. Priority Date: 04/03/1998
• Status: Expired due to Term

• Current Assignee: Jolly Seven, Series 70 of Allied Security Trust I (Allied Security Trust)
• Original Assignee: Intertainer Incorporated
• Inventors: McConaughy, Joel, Wendt, Thomas Christian, Wagner, Byron David, Baskin, Aaron Richard, Easty, Allen Dwight, Chechik, Jeremiah, Taplin, Jonathan Trumbull
• Primary Examiner(s): Breene, John
• Assistant Examiner(s): LEWIS, CHERYL RENEA
• Application Number:
  US09/054,751
• Time in Patent Office: 1,047 Days
• Field of Search: 707/10, 707/5, 707/9, 707/100, 705/14, 709/201, 709/203
• US Class Current: 1/1
• CPC Class Codes: G06F 16/958 Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: H04L 65/1101 Session protocols
• CPC Class Codes: H04L 65/612 for unicast
• CPC Class Codes: H04L 67/06 specially adapted for file transfer, e.g. file transfer protocol [FTP]
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/60 Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources admission control or resource allocation H04L47/70
• CPC Class Codes: H04L 69/329 in the application layer [OSI layer 7]
• CPC Class Codes: H04L 9/40 Network security protocols
• CPC Class Codes: Y10S 707/99931 Database or file accessing
• CPC Class Codes: Y10S 707/99935 Query augmenting and refining, e.g. inexact access
• CPC Class Codes: Y10S 707/99939 Privileged access

Abstract

Method and apparatus are utilized in a system for distributing digital contents from a central server to a plurality of endpoint servers for further distribution to end users for automatically managing the digital assets of the endpoint servers. Each endpoint server is connected to a plurality of users over a communications network and operable to deliver digital information content to users on demand. Using a master content stored at the central server, the digital content of each endpoint is periodically and automatically refreshed based on an aggregate profile that reflects the preferences of the end-user population served by the endpoint server. The aggregate profile is generated from information received from the end users, including information submitted by the users or automatically generated feedback information relating to the users'"'"' on-line activities.

Claims

1. In a system for delivering digital contents to a plurality of users on demand, the system comprising a central database for storing a plurality of digital master contents, a central server connected to the central database, at least one endpoint database connected to an endpoint server for storing at least a portion of the master contents, the endpoint server connected to a plurality of users by a communications network and operable to receive information from the users and to deliver at least a portion of the digital master contents to the users over the network, a method for automatically distributing digital contents to be stored in the endpoint database comprising the steps of:

analyzing information received from the users to generate an aggregate profile of the endpoint server, the aggregate profile of the endpoint server representing the collective characteristics and preferences of the plurality of users served by the endpoint server;

selecting, by the central server, a subset of the master contents stored in the central database based on an analysis of the aggregate profile of the endpoint server; and

storing the selected subset of the master contents in the endpoint database for distribution to the users.

2. The method of claim 1, wherein the information received from the users comprises at least one of the following:

requests for delivery of contents, automatic feedback information relating to delivered contents, and information inputted by the user.

3. The method of claim 1, wherein the analyzing step is performed by the central server, and further comprising the step of transmitting the information received from the users by the endpoint server to the central server.

4. The method of claim 1, wherein the analyzing step is performed by the endpoint server, and further comprising the step of transmitting the aggregate profile from the endpoint server to the central server.

5. The method of claim 4, further comprising the steps of transmitting a request from the central server to the endpoint server for an aggregate profile, and transmitting the aggregate profile to the central server by the endpoint server in response to the request.

6. The method of claim 1, further comprising the step of generating the aggregate profile in real time.

7. The method of claim 1, wherein the analyzing step comprises the sub-steps of:

generating aggregate affinity information in real time from information received from the users; and

generating the aggregate profile from the aggregate affinity information;

wherein the aggregate affinity information comprises at least one of the following for each content stored in the endpoint database;

the total number of times the content is requested, the accumulated actual playing time, average rating by the users, and revenue generated.

8. The method of claim 7, wherein the sub-step of generating aggregate affinity information is performed by the endpoint server, and the sub-step of generating the aggregate profile is performed by the central server, and further comprising the step of transmitting the aggregate affinity information from the endpoint server to the central server.

9. The method of claim 8, further comprising the step of transmitting a request from the central server to the endpoint server for aggregate affinity information, and wherein the aggregate affinity information is transmitted to the central server by the endpoint server in response to the request.

10. The method of claim 1, wherein the analyzing step comprises the sub-steps of:

generating individual user profiles in real time from information received from the users;

generating aggregate affinity information from the individual user profiles; and

generating the aggregate profile from the aggregate affinity information;

wherein the aggregate affinity information comprises at least one of the following for each content stored in the endpoint database;

the total number of times the content is requested, the accumulated actual playing time, average rating by the users, and revenue generated.

11. The method of claim 1, wherein the storing step is performed automatically and periodically.

12. The method of claim 1, wherein the storing step comprises the steps of:

automatically transmitting from the central server to the endpoint server contents selected in the selecting step that are not currently stored in the endpoint database; and

automatically removing contents currently stored in the endpoint database that are not selected in the selecting step.

13. The method of claim 1, further comprising the step of recommending contents to a user.

14. The method of claim 13, wherein the recommending step is based on a user profile.

15. The method of claim 13, wherein the recommending step is performed at least in part by an agenting section in the end point server.

16. The method of claim 13, wherein the recommending step is performed at least in part by an agenting section in the user'"'"'s computer.

17. The method of claim 13, wherein the recommending step is performed at least in part by an agenting section in the central server.

18. In a system for delivering digital contents to a plurality of users connected to a communications network, an apparatus for managing the contents of a plurality of databases, comprising:

a central server;

a central database connected to the central server for storing a plurality of digital master contents;

at least one endpoint database for storing a subset of the master contents to be delivered to the users;

an endpoint server connected to the endpoint database, to the central server, and to the network for receiving information from the users;

the endpoint server transmitting the received information from the users to the central server;

an agenting section in the central server for analyzing information received from the users to generate an aggregate profile of each endpoint server, the aggregate profile representing characteristics and preferences of the plurality of users connected to the endpoint server; and

a content management section operable to automatically and selectively distribute a subset of the master contents to each endpoint database based on the aggregate profile of the endpoint server.

19. The apparatus of claim 18, wherein the information received from the users comprises at least one of the following:

requests for delivery of contents, automatic feedback information relating to delivered contents, and information inputted by the user.

20. The apparatus of claim 18, wherein the agenting section of the central server generates aggregate affinity information for each endpoint server from information received from the users via the endpoint servers, the aggregate affinity information comprising at least one of the following for each content stored in the endpoint database:

the total number of times the content is requested, the accumulated actual playing time, average rating by the users, and revenue generated.

21. The apparatus of claim 18, wherein the agenting section provides content selection recommendations to the users.

22. The apparatus of claim 21, wherein the recommendations are based on a user profile.

23. The apparatus of claim 21, wherein the user profile is an individual user profile.

24. The apparatus of claim 21, wherein the user profile is an aggregate user profile.

25. The apparatus of claim 18, further comprising a client agenting section for recommending contents to a user.

26. The apparatus of claim 25, wherein the client agenting section resides in the user'"'"'s computer.

27. The apparatus of claim 25, wherein the recommendations are based on a user profile.

28. In a system for delivering digital contents to a plurality of users connected to a communications network, an apparatus for managing the contents of a plurality of databases, comprising:

a central server;

a central database connected to the central server for storing a plurality of digital master contents;

at least one endpoint database for storing a subset of the master contents to be delivered to the users;

an endpoint server connected to the endpoint database, to the central server, and to the network for receiving information from the users;

an agenting section in the endpoint server for analyzing information received from the user to generate an aggregate profile of each endpoint server and for transmitting the aggregate profile to the central server, the aggregate profile representing characteristics and preferences of the plurality of users connected to the endpoint server; and

a content management section in the central server operable to automatically and selectively distribute a subset of the master contents to each endpoint database based on the aggregate profile of the endpoint server.

29. The apparatus of claim 28, wherein the information received from the users comprises at least one of the following:

requests for delivery of contents, automatic feedback information relating to delivered contents, and information inputted by the user.

30. The apparatus of claim 28, wherein the agenting section of each endpoint server generates aggregate affinity information for the endpoint server from information received from the users via the endpoint server, the aggregate affinity information comprising at least one of the following for each content stored in the endpoint database:

the total number of times the content is requested, the accumulated actual playing time, average rating by the users, and revenue generated.

31. The apparatus of claim 28, wherein the agenting section provides content selection recommendations to the users.

32. The apparatus of claim 31, wherein the recommendations are based on a user profile.

33. The apparatus of claim 31, wherein the user profile is an individual user profile.

34. The apparatus of claim 31, wherein the user profile is an aggregate user profile.

35. The apparatus of claim 28, further comprising a client agenting section for recommending contents to a user.

36. The apparatus of claim 35, wherein the client agenting section resides in the user'"'"'s computer.

37. The apparatus of claim 35, wherein the recommendations are based on a user profile.

38. An apparatus for delivering digital contents on demand to a plurality of users connected to a communications network, comprising:

a central server;

a central database connected to the central server for storing a plurality of digital master contents;

an endpoint server connected to the central server and to the network for receiving requests from the users over the network, each request identifying a requesting user and a requested content;

an endpoint database connected to the endpoint server for storing at least a portion of the master contents,

the endpoint server being operable in response to a delivery request to retrieve the requested content from the endpoint database and to deliver the retrieved content to the requesting user over the network;

the endpoint server transmitting requests from the users to the central server;

an agenting section in the central server for analyzing information received from the user to generate an aggregate profile of each endpoint server, the aggregate profile representing characteristics and preferences of the plurality of users connected to the endpoint server; and

a content management section in the central server operable to automatically and selectively distribute a portion of the master contents to the endpoint database based on the aggregate profile of the endpoint server.

39. The apparatus of claim 38, wherein the agenting section provides content selection recommendations to the users.

40. The apparatus of claim 39, wherein the recommendations are based on a user profile.

41. The apparatus of claim 40, wherein the user profile is an individual user profile.

42. The apparatus of claim 40, wherein the user profile is an aggregate user profile.

43. The apparatus of claim 38, further comprising a client agenting section for recommending contents to a user.

44. The apparatus of claim 43, wherein the client agenting section resides in the user'"'"'s computer.

45. The apparatus of claim 43, wherein the recommendations are based on a user profile.

46. An apparatus for delivering digital contents on demand to a plurality of users connected to a communications network, comprising:

a central server;

a central database connected to the central server for storing a plurality of digital master contents;

an endpoint server connected to the central server and to the network for receiving requests from the users over the network, each request identifying a requesting user and a requested content;

an endpoint database connected to the endpoint server for storing a portion of the master contents;

the endpoint server being operable in response to a delivery request to retrieve the requested content from the endpoint database and to deliver the retrieved content to the requesting user over the network;

an agenting section in the endpoint server for analyzing information received from the user to generate an aggregate profile of each endpoint server and for transmitting the aggregate profile to the central server, the aggregate profile representing characteristics and preferences of the plurality of users connected to the endpoint server; and

a content management section in the central server operable to automatically and selectively distribute a portion of the master contents to the endpoint database based on the aggregate profile of the endpoint server.

47. The apparatus of claim 46, wherein the agenting section provides content selection recommendations to the users.

48. The apparatus of claim 47, wherein the recommendations are based on a user profile.

49. The apparatus of claim 48, wherein the user profile is an individual user profile.

50. The apparatus of claim 48, wherein the user profile is an aggregate user profile.

51. The apparatus of claim 46, further comprising a client agenting section for recommending contents to a user.

52. The apparatus of claim 51, wherein the client agenting section resides in the user'"'"'s computer.

53. The apparatus of claim 51, wherein the recommendations are based on a user profile.