Methods and aparati for recognizing a pattern of using information units and generating a stream of information units in accordance with a recognized pattern

• US 20040230672A1
• Filed: 05/14/2003
• Published: 11/18/2004
• Est. Priority Date: 05/14/2003
• Status: Abandoned Application

• Current Assignee: Dʼangelo, Adam Edward, Mark Elliot Zuckerberg
• Original Assignee: Dʼangelo, Adam Edward, Mark Elliot Zuckerberg
• Inventors: Zuckerberg, Mark Elliot, DʼAngelo, Adam Edward
• Application Number:
  US10/439,129
• Publication Number:
  US 20040230672A1
• Time in Patent Office: Days
• US Class Current: 709/222
• 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: H04H 60/372 Programme
• CPC Class Codes: H04H 60/65 for using the result on users' side
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/53 using third party service providers
• 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: 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 21/2668 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 21/44204 Monitoring of content usage, e.g. the number of times a movie has been viewed, copied or the amount which has been watched monitoring of user activities for profile generation for accessing a video database G06F16/739; protecting generic digital content where the protection is independent of the precise nature of the content G06F21/10; arrangements for monitoring the use made of the broadcast services in broadcast systems H04H60/31
• CPC Class Codes: H04N 21/6582 Data stored in the client, e.g. viewing habits, hardware capabilities, credit card number arrangements where receivers interact with the broadcast H04H20/38
• CPC Class Codes: H04N 21/8113 comprising music, e.g. song in MP3 format
• CPC Class Codes: H04N 7/17318 Direct or substantially direct transmission and handling of requests

Abstract

This invention relates to recognizing patterns in people'"'"'s individual listening habits and creating streams of playback based on those listening patterns. This invention does this by observing what information units the persons use and calculating how much the person likes each information unit in their collection and what information units each unit uses in close proximity to it. This invention can be applied to both software and hardware MP3, CD, and other such media devices that would be recognized by one with knowledge in these arts. The invention can be used with such devices so that it learns the patterns of the person using that device.

Claims

1. The method of recognizing a pattern of using a plurality of information units by at least one person, each of the plurality of information units being selected and used by the one person, said method comprising the steps of:

a) storing in a database each information unit selected and played by the one person;

b) ascertaining the degree that the one person likes each of the information units stored in the database, said step of ascertaining comprises the substep of determining the degree of likelihood that each stored information unit will be used at any given point in time.

2. The method of recognizing a pattern as claimed in claim 1, wherein there is further included a step c) of determining for a given information unit stored in the database at least one other information unit that the person uses in conjunction with said given information unit.

3. The method of recognizing a pattern as claimed in claim 2, wherein said step b) of ascertaining includes a substep of determining the rate at which the one person'"'"'s using pattern changes.

4. The method of recognizing a pattern as claimed in claim 1, wherein said storing step a) stores each of the plurality information units in the database as a chronologically-ordered log.

5. The method of recognizing a pattern as claimed in claim 4, wherein there is further included a step of weighting information units at different points in said chronologically-ordered log based upon the rate at which the one person'"'"'s information unit using pattern changes.

6. The method of recognizing a pattern as claimed in claim 5, wherein said step of weighing comprises the substep of accessing at a first relative recent point in said and at a second relatively earlier point in said chronologically ordered log first and second information units respectively, determining a first degree of similarity between a third most recent information unit in said chronologically ordered loop and said first information unit and a second degree of similarity between said third information unit and said second information unit, determining the difference between said first degree and second degree to provide an indication of how much more similar the first more recent information unit is to said third present information unit than to said second relatively earlier information unit, and constructing based on how much more similar the first more recent information unit was to said third present information unit than to said second information unit a function to weigh each of said plurality of information units in the database.

7. The method of recognizing a pattern as claimed in claim 6, wherein each of the plurality of information units has a given length, and there is further included the step of measuring the length of use of each of the plurality of information units and, if greater than a predetermined portion of the given length of each information unit, a sufficiently used information unit is identified and an enabling signal is generated.

8. The method of recognizing a pattern as claimed in claim 7, wherein there is further included the steps of iterating through the chronologically-ordered log and, if the enabling signal is present, adding an amount of value to each sufficiently used information unit according to how much that the sufficiently used information unit is weighted by said function.

9. The method of recognizing a pattern as claimed in claim 8, wherein there is further included the steps of summing the amount of weighted values added to all of the sufficiently used information units, and of dividing the value of each of the plurality of information units stored in said chronologically-ordered log by the sum of the weighted values added to all of the sufficiently used information units to normalize the values of said plurality of information units stored in the database, whereby the normalized values represent how likely each of the plurality of information units is to be used.

10. The method of recognizing a pattern as claimed in claim 6, wherein each of the plurality of information units has a given length of use, and there are further included the steps of measuring the length of use of each of the plurality of information units, tracking the proximity of a given information unit with respect to an information unit being used, determining whether a given information unit is a predetermined portion of the given length of each information unit, determining whether the given information unit is used within a few information units of the information unit being tracked, and if the length of use of an information unit is greater than the predetermined portion of the given length of each information unit and if the used information unit is with the predetermined number of information units of information unit being tracked, generating an enabling signal.

11. The method of recognizing a pattern as claimed in claim 10, wherein there is further included the steps of iterating though the chronologically-ordered log, and if the enabling signal is generated, adding an amount of value to the given information unit being played according to the amount of the value of the information unit that was weighted to the function and to how many information units the tracked information unit was away from the entry where the information unit used was the information unit being tracked.

12. The method of recognizing a pattern as claimed in claim 11, wherein there is further included the steps of summing the amount of weight values added to all of the used information units, and of dividing the value of each of the plurality of information units stored in said chronologically-ordered by the sum of the weighted values added to all of the information units to normalize the values of said plurality of information unit stored in the database, whereby the normalized values represent how likely the information unit is to be used within the predetermined number of information units of the information unit that is being tracked.

13. The method of recognizing a pattern of a plurality of information units as selected and used by at least one person, said method comprising the steps of:

a) storing in a database each information unit selected and played by the one person;

b) ascertaining the degree that the one person likes each of the information units stored in the database; and

c) ascertaining at least one information unit that is played within a predetermined proximity of a tracked information unit that is stored in the database.

14. The method of recognizing a pattern as claimed in claim 13, wherein there is further included a step of generating a stream of information units in accordance with the recognized pattern of information units.

15. The method of recognizing a pattern as claimed in claim 13, wherein there is further included a step of determining the length of each used information unit.

16. The method of recognizing a pattern as claimed in claim 15, wherein there is further included the step of determining whether the length of an information unit to exceed a predetermined portion of the total length of use of the information unit.

17. The method of recognizing a pattern as claimed in claim 16, wherein there is further included the step of determining whether the length of the information units being played is greater that the predetermined portion of the total length and, if so, providing a value rating.

18. The method of recognizing a pattern as claimed in claim 17, wherein there are included the steps of summing the values associated with the length of information unites stored in the database, and generating in response to the summed values said pattern of selected and used information units.

19. The method of recognizing a pattern as claimed in claim 17, wherein there are further steps of determining the information unit being tracked is within a predetermined proximity to the information unit to the information proximity to the information unit being used and, if so, providing a value rating.

20. The method of recognizing a pattern as claimed in claim in claim 19, wherein there are further steps of iterating through the chronologically-ordered log, and if both a value rating and a proximity rated value of a particular information unit are provided, multiply the value rating and the proximity rating to provide an indication of the likelihood of being selected and used by the one person.

21. The method of controlling the use of a plurality of information units, said method comprising the steps of:

a) facilitating at least one person to select an information unit, whereby the one person selected use of the information unit is implemented;

b) constructing a pattern of use of the plurality of information units;

c) facilitating the use of at least one information as selected from the pattern of use of the information units; and

d) monitoring the selection of the plurality of information units and constructing said pattern based only on the selection of the information units by the one person.

22. The method of controlling as claimed in claim 21, wherein said monitoring step senses the selection by the one person of a particular information unit to modify the pattern of use by increasing the likelihood that the selected information unit is increased.

23. The method of controlling as claimed in claim 21, wherein said monitoring step senses that the one person interrupts the play of a particular unit to modify the pattern of use by decreasing the likelihood that the particular information unit is decreased.