System and method for providing access to video programs and other data using customer profiles

• US 7,853,600 B2
• Filed: 05/20/2005
• Issued: 12/14/2010
• Est. Priority Date: 11/29/1994
• Status: Expired due to Fees

• Current Assignee: Pinpoint Incorporated (Altitude Capital Partners)
• Original Assignee: Pinpoint Incorporated (Altitude Capital Partners)
• Inventors: Salganicoff, Marcos, Zhang, Jian, Wachob, David, Ungar, Lyle, Herz, Frederick
• Primary Examiner(s): NGUYEN BA, HOANG VU A
• Application Number:
  US11/133,759
• Publication Number:
  US 20060150216A1
• Time in Patent Office: 2,034 Days
• Field of Search: 707/749, 707/694, 707/736, 707/748, 707/751, 707/784, 725/46
• US Class Current: 707/749
• CPC Class Codes: G06F 16/22 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06Q 20/306 using TV related infrastructures external card used for payment with client device H04N21/4185
• CPC Class Codes: G06Q 20/383 Anonymous user system
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: H01H 1/00 Contacts liquid contacts H01H29/04
• CPC Class Codes: H04H 60/06 Arrangements for scheduling broadcast services or broadcast-related services
• CPC Class Codes: H04H 60/31 Arrangements for monitoring the use made of the broadcast services
• CPC Class Codes: H04H 60/46 for recognising users' preferences
• CPC Class Codes: H04L 2209/60 Digital content management, e.g. content distribution
• CPC Class Codes: H04L 9/0662 with particular pseudorandom sequence generator
• CPC Class Codes: H04L 9/0825 using asymmetric-key encryption or public key infrastructure [PKI], e.g. key signature or public key certificates
• CPC Class Codes: H04N 21/222 Secondary servers, e.g. proxy server, cable television Head-end provisioning of proxy services in data packet switching networks H04L67/56
• CPC Class Codes: H04N 21/2223 being a public access point, e.g. for downloading to or uploading from clients arrangements specially adapted to plural spots in a confined site in broadcast systems H04H20/63
• CPC Class Codes: H04N 21/23106 involving caching operations prefetching while addressing of a memory level in which the access to the desired data or data block requires associative addressing means within memory systems or architectures G06F12/0862; caching at an intermediate stage in a data network H04L67/568
• CPC Class Codes: H04N 21/252 Processing of multiple end-users' preferences to derive collaborative data
• CPC Class Codes: H04N 21/25891 being end-user preferences retrieval of video data in a video database based on user preferences G06F16/739; arrangements for recognizing users' preferences H04H60/46; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/262 Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists scheduling strategies for dispatcher in multiprogramming arrangements G06F9/4881; arrangements for scheduling broadcast services or broadcast-related services H04H60/06; flow control in packet networks H04L47/10; establishing a time schedule or organising the servicing of application requests H04L67/62
• CPC Class Codes: H04N 21/26241 involving the time of distribution, e.g. the best time of the day for inserting an advertisement or airing a children program
• CPC Class Codes: H04N 21/26603 for automatically generating descriptors from content, e.g. when it is not made available by its provider, using content analysis techniques
• CPC Class Codes: H04N 21/2668 Creating a channel for a dedicated end-user group, e.g. insertion of targeted commercials based on end-user profiles information retrieval from the Internet by querying with filtering and personalisation G06F16/9535; arrangements for replacing or switching information during the broadcast H04H20/10; push services over packet-switching network H04L12/1859; adaptation of message content in packet-switching networks H04L51/063
• CPC Class Codes: H04N 21/4332 : by placing content in organized collections, e.g. local EPG data repository interfaces, Database management systems or updating for information retrieval G06F16/23; details of retrieval of video data and associated meta data in video database G06F16/739
• CPC Class Codes: H04N 21/44222 : Analytics of user selections, e.g. selection of programs or purchase activity monitoring of user selections in data processing systems G06F11/34; arrangements for monitoring the user's behaviour or opinions in broadcast systems H04H60/33
• CPC Class Codes: H04N 21/4532 : involving end-user characteristics, e.g. viewer profile, preferences monitoring of user activities for profile generation for accessing a video database G06F16/739; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/454 : Content or additional data filtering, e.g. blocking advertisements
• CPC Class Codes: H04N 21/4622 : Retrieving content or additional data from different sources, e.g. from a broadcast channel and the Internet web site content organization and management for information retrieval from the Internet G06F16/958; transmission by internet of broadcast information H04H60/82; stock exchange data over packet-switching network H04L12/1804; push services including data channel over packet-switching network H04L12/1859
• CPC Class Codes: H04N 21/466 : Learning process for intelligent management, e.g. learning user preferences for recommending movies services using the results of monitoring in broadcast systems H04H60/61
• CPC Class Codes: H04N 21/4665 : involving classification methods, e.g. Decision trees
• CPC Class Codes: H04N 21/47 : End-user applications
• CPC Class Codes: H04N 21/4755 : for defining user preferences, e.g. favourite actors or genre retrieval personalisation and generation of user profiles for the retrieval of video data G06F16/739; user profiles in network data switching protocols H04L67/306
• CPC Class Codes: H04N 21/4782 : Web browsing , e.g. WebTV
• CPC Class Codes: H04N 21/812 : involving advertisement data advertising per se G06Q30/02
• CPC Class Codes: H04N 7/14 : Systems for two-way working H04N7/12, H04N7/173 take precedence
• CPC Class Codes: H04N 7/163 : by receiver means only
• CPC Class Codes: H04N 7/165 : Centralised control of user terminal subsequent to an upstream request signal H04N7/17345; Registering at central by two-way working H04N7/17309
• CPC Class Codes: H04N 7/1675 : Providing digital key or authorisation information for generation or regeneration of the scrambling sequence pseudo-random number generators in general G06F7/58
• CPC Class Codes: H04N 7/173 : with two-way working, e.g. subscriber sending a programme selection signal
• CPC Class Codes: H04N 7/17318 : Direct or substantially direct transmission and handling of requests
• CPC Class Codes: H04N 7/17354 : in an intermediate station common to a plurality of user terminals
• CPC Class Codes: Y10S 707/99936 : Pattern matching access
• CPC Class Codes: Y10S 707/99939 : Privileged access

Abstract

A system and method of presenting data from a plurality of data sources or objects which simultaneously distributes many sources of such data to many customers. Customer profiles are developed for the recipient describing how important certain characteristics of the data are to each customer. From these profiles, an “agreement matrix” is calculated by comparing the recipient'"'"'s profiles to the actual profiles of the characteristics of the available data. The agreement matrix thus characterizes the attractiveness of each data to each prospective customer, and is used to produce a series of data which will provide the greatest satisfaction to each customer. The customer'"'"'s profiles and/or the profiles of the data may be modified to reflect actual usage.

Claims

1. A method of presenting data from a plurality of data objects comprising the steps of:

creating at least one customer profile for a customer associated with a customer identity, said at least one customer profile indicating the customer'"'"'s preferences for data having predetermined characteristics;

storing the at least one customer profile in a memory in association with said customer identity;

creating content profiles for each of said data objects, said content profiles indicating at least one of the presence and the degree of content of said predetermined characteristics in data of each of said data objects;

retrieving the at least one customer profile subsequently from said memory, by name or said customer identity;

relating said at least one retrieved customer profile with the content profiles for the data available from each data object;

at a location remote from said customer, determining a subset of said data objects having content profiles which are determined in said relating step to most closely match said at least one customer profile; and

presenting said determined subset of said data objects to said customer location from said remote location for selection by said customer.

2. The method of claim 1, further comprising:

creating content profiles for each data source of said data, said content profiles reflecting the customer profiles of those customers who have previously accessed said data from each data source.

3. The method of claim 1, wherein presenting said subset of said data to said customer location comprises transmitting said subset of said data to said customer location from said location remote from said customer.

4. The method of claim 1, wherein said determined subset of said data objects is presented to said customer at a personal computer at the customer location.

5. The method of claim 4, further comprising:

accepting customer identity information from said customer via said personal computer.

6. The method of claim 1, wherein said plurality of data objects comprise a data object representing at least one product, and wherein the method further comprises:

updating said at least one customer profile to indicate that said at least one product has already been provided to the customer; and

preventing the data object representing said at least one product that has already been provided to the customer from being included in said determined subset of said data objects.

7. The method of claim 6, wherein said data objects comprise data objects including data representing at least one movie available for rental, and wherein said at least one customer profile is updated to indicate that said at least one movie was already rented by the customer.

8. The method of claim 1, wherein said data objects comprise at least one data object representing at least one product, and wherein the method further comprises:

updating said at least one customer profile based on a rating of the at least one product provided by the customer.

9. The method of claim 8, further comprising presenting to the customer at least one review of said at least one product to assist the customer in said selection.

10. The method of claim 1, wherein said data objects comprise a data object representing at least one product, and further comprising:

presenting to the customer a portion of said at least one product to assist the customer in said selection.

11. The method of claim 10, wherein said at least one product comprises media content, and wherein presenting to the customer a portion of said at least one product comprises playing a clip of said media content to assist the customer in said selection.

12. The method of claim 1, wherein said content profiles are created at least partially based on the popularity of said data, and wherein said subset of said data objects is determined at least partially based on said popularity.

13. The method of claim 1, further comprising:

providing an advertisement to the customer based on the at least one customer profile.

14. The method of claim 1, wherein the at least one customer profile includes the customer'"'"'s location.

15. The method of claim 1, wherein the data objects represent physical items.

16. The method of claim 1, wherein, in the act of determining, the determined subset is based on a degree of correlation of profiles and correspondence of textual information.

17. The method of claim 1, further comprising selling or renting a product to the customer based on the customer'"'"'s selection.

18. The method of claim 1, further comprising encrypting data sent between the remote location and the customer'"'"'s location.

19. The method of claim 1, wherein the data objects represent software available to at least some customers.

20. The method of claim 1, further comprising modifying the at least one customer'"'"'s profile in response to manual input from the customer.

21. The method of claim 1, further comprising limiting access to a customer profile in response to the customer providing an indication that such access is to be limited.

22. The method of claim 1, wherein the data objects represent books.

23. The method of claim 1, wherein the determined subset of said data objects is selected at least partially based on customer ratings of the data objects.

24. The method of claim 1, wherein the data objects represent video content.

25. The method of claim 1, wherein the data objects represent audio content.

26. A method of presenting data for selection from a plurality of data sources, comprising the steps of:

creating at least one customer profile for each customer, said customer profile including a profile of data previously accessed by said customer;

creating content profiles for each data source of said data, said content profiles reflecting the customer profiles of those customers who have previously accessed said data from each data source;

relating said at least one customer profile with the content profiles for the data available to the customer from each data source;

determining, using a microprocessor, a subset of data having content profiles which are determined, in said relating step, to most closely match said at least one customer profile; and

presenting said subset of data to said customer for selection.

27. The method of claim 26, wherein the subset of data comprises a menu.

28. The method of claim 26, wherein the subset of data comprises a tree of possible menu items.

29. A method of presenting data from a plurality of data objects, comprising the steps of:

creating at least one customer profile for a customer, said customer profile indicating the customer'"'"'s preferences for data having predetermined characteristics;

creating content profiles for each of said data objects, said content profiles indicating at least one of the presence or the degree of content of said predetermined characteristics in data of each of said data objects;

relating, using a microprocessor, said at least one customer profile with the content profiles for the data available from each data object;

at a location remote from said customer, determining a subset of said data objects having content profiles which are determined, in said relating step, to most closely match said at least one customer profile; and

transmitting, via a data communication system, said determined subset of said data objects to said customer location for selection by said customer.

30. The method of claim 29, further comprising:

creating content profiles for each data source of said data, said content profiles reflecting the customer profiles of those customers who have previously accessed said data from each data source.

31. A method of presenting data from a plurality of data objects, comprising the steps of:

creating at least one at least one customer profile for a customer, said customer profile indicating the customer'"'"'s preferences for data having predetermined characteristics;

creating content profiles for each of said data objects, said content profiles indicating the presence of said predetermined characteristics in data of each of said data objects;

relating, using a microprocessor, said at least one customer profile with the content profiles for the data available from each data object;

at a location remote from said customer, determining a subset of said data objects having content profiles which are determined, in said relating step, to most closely match said at least one customer profile; and

presenting, via a data communication system, said determined subset of said data objects to said customer location from said remote location for selection by said customer.

32. The method of claim 31, wherein said predetermined characteristics comprise at least one of performing artist, year of release, decade or century written, rock, easy listening, classical, country, length, or popularity on one or more charts.

33. A method as in claim 31 wherein said data object are comprised of data representing movies or music.

34. A method as in claim 31 wherein said predetermined characteristics are comprised of at least one of author, mystery, fiction, non-fiction, length, date of first publication, recent trade price, recent trade volume, industry, dividend size, risk, cost, or where traded.

35. A method as in claim 31 wherein said data object is comprised of a book, stock market listing, print information, personalized newspapers, real estate listings, or other textual data.

36. The method of claim 31, further comprising:

creating content profiles for each data source of said data, said content profiles reflecting the customer profiles of those customers who have previously accessed said data from each data source.

37. A method of presenting data from a plurality of data objects, comprising the steps of:

creating at least one at least one customer profile for a customer, said customer profile indicating the customer'"'"'s preferences for data having predetermined characteristics;

creating content profiles for each of said data objects, said content profiles indicating the degree of content of said predetermined characteristics in data of each of said data objects;

relating, using a microprocessor, said at least one customer profile with the content profiles for the data available from each data object;

at a location remote from said customer, determining a subset of said data objects having content profiles which are determined, in said relating step, to most closely match said at least one customer profile; and

presenting, via a data communication system, said determined subset of data to said customer location from said remote location for selection by said customer.

38. The method of claim 37, further comprising:

creating content profiles for each data source of said data, said content profiles reflecting the customer profiles of those customers who have previously accessed said data from each data source.

39. A method comprising:

creating at least one customer profile for each eligible recipient of data from a plurality of data sources, said customer profile including a profile of data previously accessed by said eligible recipient;

creating content profiles for each data source of said data, said content profiles reflecting the customer profiles of those recipients who have previously accessed said data from each data source;

relating said at least one customer profile with the content profiles for the data available to the eligible recipient from each data source;

determining, using a microprocessor, a subset of data having content profiles which are determined in said relating step to most closely match said at least one customer profile; and

presenting said subset of data to said eligible recipient for selection.

40. A method of providing access to content, comprising:

for each of a plurality of users, creating at least one user profile including a profile of content previously accessed by the user;

for each of a plurality of information items from one or more information sources, creating a content profile reflecting the user profiles of those users who have previously accessed said plurality of information item;

for at least a first of the plurality of users, determining, using a microprocessor, a subset of the plurality of information items that have content profiles that most closely correlate to said at least one user profile of the user; and

providing the at least first user access to said subset of the plurality of information items.

41. The method of claim 40, further comprising:

creating content profiles for each of said one or more information sources, said content profiles reflecting the user profiles of those users who have previously accessed said each of a plurality of information items from each of said one or more information sources.

42. A method of handling user information indicative of user preferences for content, comprising acts of:

(A) for at least one user, creating at least one user profile indicating preferences of the at least one user for particular characteristics of content;

(B) monitoring which of a plurality of information items from one or more information sources are accessed by the at least one user;

(C) automatically updating, using a microprocessor, the user profile of the at least one user based, at least in part, on the content profiles of the plurality of information items accessed by the at least one user;

(D) selecting, at a location remote from the at least one user and based on the at least one user profile, a subset of the plurality of information items that most closely match the at least one user profile; and

(E) sending the selected subset of the plurality of information items to the at least one user.

43. The method of claim 42, wherein the act (C) comprises updating the at least one user profile based at least in part on a frequency of access of the accessed plurality of information items by users with user profiles substantially similar to the at least one user profile of the at least one user.

44. The method of claim 42, wherein the act (C) comprises updating the preferences of the at least one user for particular characteristics of information.

45. The method of claim 42, further comprising an act of:

(F) for each of the plurality of information items from the one or more information sources, creating a content profile indicative of characteristics of content of information from each information source.

46. The method of claim 45, wherein the act (F) comprises, for at least one of the plurality of information items from the one or more information sources, creating a content profile indicating a degree to which content of the at least one of the plurality of information items has said characteristics of content of information.

47. The method of claim 45, wherein the act (F) comprises, for at least one of the plurality of information items from the one or more information sources, creating a content profile indicating whether the content of the at least one of the plurality of information items has said characteristics of content of information.

48. The method of claim 45, wherein the act (F) comprises, for at least one of the plurality of information items from the one or more information sources, expressing the content profile in mathematical terms.

49. The method of claim 42, wherein the act (A) comprises expressing the at least one user profile in mathematical terms.

50. The method of claim 42, further comprising an act of:

(F) presenting the subset of the plurality of information items to the at least one user for selection by the at least one user.

51. The method of claim 50, wherein the act (F) comprises presenting a ranked list of the plurality of information items to the at least one user.

52. The method of claim 50, further comprising:

(G) scheduling the presentation of the subset of the plurality of information items to the at least one user.

53. The method of claim 50, wherein (F) comprises presenting said selected subset of the plurality of information items to said at least one user at a personal computer at the at least one user'"'"'s location.

54. The method of claim 53, wherein said at least one user is associated with a user identity, and the method further comprises:

(G) storing the customer profile in a memory remote from said at least one user;

(H) accepting user identity information from said at least one user via said personal computer; and

(I) in response to (H) retrieving said customer profile from said memory, by name or said user identity.

55. The method of claim 54, wherein said customer profile is stored in said location remote from said user.

56. The method of claim 42, wherein:

the at least one user comprises a plurality of users,

the act (A) comprises, for each of the plurality of users, creating at least one user profile indicating preferences of the user for particular characteristics of content,

the act (B) comprises monitoring which of a plurality of information items from one or more information sources are accessed by each user; and

the act (C) comprises, for each of at least two of the users, updating the at least one user profile of the user based at least in part on the content profiles of the plurality of information items accessed by the user.

57. The method of claim 42, wherein the at least one user is a customer or potential customer.

58. The method of claim 42, wherein the content comprises video content.

59. The method of claim 42, wherein the content comprises audio content.

60. The method of claim 42, wherein the content comprises textual content.

61. The method of claim 42, further comprising an act of:

(F) creating content profiles for each of said one or more information sources, said content profiles reflecting the user profiles of those users who have previously accessed said plurality of information items from each of said one or more information sources.

62. The method of claim 42, wherein said content comprises a content item, and wherein a first information item of said plurality of information items represents a characteristic of said content item, and wherein the method further comprises:

(F) updating said at least one user profile to indicate that said content item has already been provided to the at least one user; and

(G) preventing said first information item from being included in said selected subset of the plurality of information items.

63. The method of claim 62, wherein said content item comprises a movie available for rental, and wherein said at least one user profile is updated to indicate that said movie was already rented by the at least one user.

64. The method of claim 42, wherein said content comprises a content item, and wherein the method further comprises:

updating said at least one user profile based on a rating of the content item provided by the user.

65. The method of claim 42, wherein said content comprises a content item, and wherein a first information item of said plurality of information items represents a characteristic of said content item, wherein said first information item is included in said selected subset, and wherein the method further comprises:

presenting to the at least one user at least a portion of said content item to assist the at least one user in said selection.

66. The method of claim 65, wherein presenting a least a portion of said content item comprises playing a clip of said content item for the at least one user.

67. The method of claim 42, further comprising:

presenting to the at least one user at least one review of said content item to assist the at least one user in said selection.

68. The method of claim 42, wherein (D) is performed at least partially based on the popularity of the content.

69. A system for presenting data from a plurality of data objects, the system comprising:

a system controller configured to

(a) create at least one customer profile for a customer associated with a customer identity, said at least one customer profile indicating the customer'"'"'s preferences for data having first characteristics,

(b) create content profiles for each of said data objects, said content profiles indicating at least one of the presence and the degree of content of said first characteristics in data of each of said data objects,

(c) retrieve the at least one customer profile by customer identity,

(d) relate said at least one retrieved customer profile with the content profiles for the data available from each data object,

(e) at a location remote from said customer, determine a recommended subset of said data objects based on (d), and

(f) present said determined subset of said data objects to said the customer'"'"'s location from said remote location for selection by said customer, and

a memory configured to store the customer profile in association with said customer identity.

70. A system for presenting data from a plurality of data objects, the system comprising:

a system controller configured to

(a) create at least one customer profile for a customer, said customer profile indicating the customer'"'"'s preferences for data having predetermined characteristics,

(b) create content profiles for each of said plurality of data objects, said content profiles indicating at least one of the presence or the degree of content of said predetermined characteristics in data of each of said data objects,

(c) relate said at least one customer profile with the content profiles for the data available from each data object, and

(d) at a location remote from said customer, determine a subset of said data objects having content profiles which most closely match said at least one customer profile, and a distribution system configured to transmit said determined subset of said data objects to the customer'"'"'s location for selection by said customer.

71. A system for presenting data for selection from a plurality of data sources, the system comprising:

a system controller configured to

(a) create at least one at least one customer profile for each customer, said customer profile including a profile of data previously accessed by said customer,

(b) create content profiles for each data source of said data, said content profiles reflecting the customer profiles of those customers who have previously accessed said data from each data source,

(c) relate said at least one customer profile with the content profiles for the data available from each data source to the customer,

(d) determine a subset of data having content profiles which most closely match said at least one customer profile, and

(e) present said subset of data to said customer for selection.