SYSTEM AND METHOD FOR PERSONALIZING AND RECOMMENDING CONTENT

• US 20170064405A1
• Filed: 08/26/2016
• Published: 03/02/2017
• Est. Priority Date: 08/26/2015
• Status: Abandoned Application

• Current Assignee: Caavo Inc
• Original Assignee: Caavo Inc
• Inventors: Aggarwal, Ashish D., Einaudi, Andrew E.
• Application Number:
  US15/248,978
• Publication Number:
  US 20170064405A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/337 Profile generation, learning or modification
• CPC Class Codes: H04L 67/306 User profiles
• 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: H04N 21/251 Learning process for intelligent management, e.g. learning user preferences for recommending movies details of learning user preferences for the retrieval of video data in a video database G06F16/739; computer systems using learning methods G06N3/08
• 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 21/44204 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 21/4532 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 21/4667 Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections
• CPC Class Codes: H04N 21/4668 for recommending content, e.g. movies
• CPC Class Codes: H04N 21/4826 using recommendation lists, e.g. of programs or channels sorted out according to their score
• CPC Class Codes: H04N 21/84 Generation or processing of descriptive data, e.g. content descriptors systems specially adapted for using meta-information in broadcast systems H04H60/73

Abstract

Methods, systems, and apparatuses are described for personalizing and recommending content. Media or multimedia activity of users, or consumed media or multimedia content, is automatically detected or observed, and a temporal identifier associated with the activity is determined. A usage profile is created for the users based on the activity and the temporal identifier. The usage profile is stored and may be updated based on additional detections or observations. Recommendations for additional content are automatically performed based on the usage profile. Recommendations for additional content may be based on periodic content releases or activities, content that is part of a series, content comprising sequels, or additional content that is similar or associated with consumed content.

Claims

1. A method for personalizing and recommending content implemented by a processing device, comprising:

automatically detecting an activity that is participated in by one or more users, the activity comprising a media or multimedia activity;

determining a temporal identifier associated with the media or multimedia activity;

creating a usage profile for the one or more users based on the activity that was automatically detected and the temporal identifier; and

storing the usage profile in a storage device.

2. The method of claim 1, wherein the automatically detecting takes place over two or more occurrences of the activity.

3. The method of claim 1, further comprising:

automatically recommending at least one additional media or multimedia activity based on the usage profile subsequent to the usage profile being created.

4. The method of claim 3, wherein the at least one additional media or multimedia activity comprises one or more of:

content related to the activity that became available subsequent to the automatically detecting;

or

content related to the activity that will become available based on a periodic content release that is subsequent to the automatically detecting.

5. The method of claim 4, wherein the content related to the activity that became available subsequent to the automatically detecting comprises a movie sequel or a first episode of a new season of a television show series;

or

wherein the content related to the activity that will become available based on a periodic content release that is subsequent to the automatically detecting comprises a next episode of a current season of a television show series or a sporting event.

6. The method of claim 1, wherein the media or multimedia activity includes consuming one or more of a television show, music, a movie, a video, a video game, a podcast, a television event, a recording, streaming media or multimedia content, social media content, or web content.

7. The method of claim 1, wherein the temporal identifier includes one or more of a time of year, a time of year of non-consecutive years, a month, a day of the month, a week, a day of the week, a day of the year, or a time of day.

8. A system comprising:

at least one processing device; and

one or more memory devices connected to the at least one processing device, the one or more memory devices being configured to store computer-executable instructions for execution by the at least one processing device, the computer-executable instructions including;

an observation component configured to;

automatically detect an activity that is participated in by one or more users, the activity comprising a media or multimedia activity;

determine a temporal identifier associated with the media or multimedia activity; and

create a usage profile for the one or more users based on the activity that was automatically detected and the temporal identifier; and

wherein the one or more memory devices are configured to store a plurality of usage profiles including the usage profile.

9. The system of claim 8, wherein the observation component is configured to perform at least one of said automatically detect the activity or said determine the temporal identifier at a plurality of times for one or more of different sets of users, different activities that are participated in by one or more users, or different temporal identifiers to create a plurality of usage profiles.

10. The system of claim 8, wherein the observation component is configured to automatically detect over two or more occurrences of the activity.

11. The system of claim 8, further comprising:

a recommendation component configured to automatically recommend at least one additional media or multimedia activity based on the usage profile.

12. The system of claim 11, wherein the at least one additional media or multimedia activity comprises one or more of:

content related to the activity that became available subsequent to the automatically detecting;

or

content related to the activity that will become available based on a periodic content release that is subsequent to the automatically detecting.

13. The system of claim 12, wherein the content related to the activity that became available subsequent to the automatically detecting comprises a movie sequel or a first episode of a new season of a television show series;

or

wherein the content related to the activity that will become available based on a periodic content release that is subsequent to the automatically detecting comprises a next episode of a current season of a television show series or a sporting event.

14. The system of claim 8, wherein the media or multimedia activity includes consuming one or more of a television show, music, a movie, a video, a video game, a podcast, a television event, a recording, streaming media or multimedia content, social media content, or web content.

15. The system of claim 8, wherein the temporal identifier includes one or more of a time of year, a time of year of non-consecutive years, a month, a day of the month, a week, a day of the week, a day of the year, or a time of day.

16. A computer-readable storage medium having programmed instructions recorded thereon that, when executed by a processing device, perform a method for personalizing and recommending content, the method comprising:

automatically detecting an activity that is participated in by one or more users, the activity comprising a media or multimedia activity;

determining a temporal identifier associated with the media or multimedia activity;

creating a usage profile for the one or more users based on the activity that was automatically detected and the temporal identifier; and

storing the usage profile in a storage device.

17. The computer-readable storage medium of claim 16, wherein the automatically detecting takes place over two or more occurrences of the activity.

18. The computer-readable storage medium of claim 16, the method further comprising:

automatically recommending at least one additional media or multimedia activity based on the usage profile subsequent to the usage profile being created.

19. The computer-readable storage medium of claim 18, wherein the at least one additional media or multimedia activity comprises one or more of:

content related to the activity that became available subsequent to the automatically detecting; and

content related to the activity that will become available based on a periodic content release that is subsequent to the automatically detecting.

20. The computer-readable storage medium of claim 19, wherein at least one of:

the content related to the activity that became available subsequent to the automatically detecting comprises a movie sequel or a first episode of a new season of a television show series;

the content related to the activity that will become available based on a periodic content release that is subsequent to the automatically detecting comprises a next episode of a current season of a television show series or a sporting event;

the media or multimedia activity includes consuming one or more of a television show, music, a movie, a video, a video game, a podcast, a television event, a recording, streaming media or multimedia content, social media content, or web content;

or

the temporal identifier includes one or more of a time of year, a time of year of non-consecutive years, a month, a day of the month, a week, a day of the week, a day of the year, or a time of day.