RECOMMENDING CONTENT BASED ON USER BEHAVIOR TRACKING AND ANALYSIS

• US 20190327508A1
• Filed: 07/02/2019
• Published: 10/24/2019
• Est. Priority Date: 11/21/2016
• Status: Active Grant

• Current Assignee: Roku, Inc.
• Original Assignee: Roku, Inc.
• Inventors: LOUBOUTIN, SYLVAIN RENE YVES
• Granted Patent: US 10,834,448 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 11/3438 monitoring of user actions tracking the activity of the user H04L67/535
• CPC Class Codes: G06F 11/3476 Data logging G06F11/14, G06F11/2205 take precedence
• CPC Class Codes: G06F 16/437 Administration of user profiles, e.g. generation, initialisation, adaptation, distribution
• CPC Class Codes: G06F 16/9536 Search customisation based on social or collaborative filtering
• CPC Class Codes: G06F 2201/81 Threshold
• CPC Class Codes: G06F 2201/835 Timestamp
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• 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 21/44213 Monitoring of end-user related data arrangements for monitoring the users' 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 21/4667 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 21/812 involving advertisement data advertising per se G06Q30/02

Abstract

Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for recommending content based on user behavior tracking and analysis. Some embodiments operate by determining tracking data for a user indicating how the user interacted with a menu structure of a streaming media application. A group is selected from a plurality of user groups into which to group the user based on the tracking data, wherein each group comprises data from a plurality of users. A streaming media content recommendation is determined based on previous viewing patterns associated with the plurality of users of the selected group. The streaming media content recommendation is provided.

Claims

1. A method comprising:

determining tracking data for a user indicating how the user interacted with a menu structure of a streaming media application;

selecting a group from a plurality of user groups into which to group the user based on the tracking data, wherein each group comprises data from a plurality of users;

determining a streaming media content recommendation based on previous viewing patterns associated with the plurality of users of the selected group; and

providing, via the menu structure, the streaming media content recommendation.

2. The method of claim 1, wherein the tracking data comprises an order in which one or more streaming media options were navigated by the user.

3. The method of claim 1, wherein the tracking data comprises one or more icons within the menu structure over which the user lingered and did not select.

4. The method of claim 3, wherein the tracking data also comprises one or more of the icons within the menu structure which the user selected.

5. The method of claim 1, wherein the tracking data comprises one or more options within the menu structure which were visited multiple times during a user session.

6. The method of claim 1, wherein the determining comprises:

determining the streaming media content recommendation based on a bitmap corresponding to the previous viewing patterns of the plurality of users of the selected group.

7. The method of claim 6, wherein the bitmap comprises a repetition bitmap that indicates which streaming media content was viewed multiple times.

8. A system comprising:

a memory; and

at least one processor coupled to the memory and configured to perform operations comprising;

determining tracking data for a user indicating how the user interacted with a menu structure of a streaming media application;

selecting a group from a plurality of user groups into which to group the user based on the tracking data, wherein each group comprises data from a plurality of users;

determining a streaming media content recommendation based on previous viewing patterns associated with the plurality of users of the selected group; and

providing, via the menu structure, the streaming media content recommendation.

9. The system of claim 8, wherein the tracking data comprises an order in which one or more streaming media options were navigated by the user.

10. The system of claim 8, wherein the tracking data comprises one or more icons within the menu structure over which the user lingered and did not select.

11. The system of claim 10, wherein the tracking data also comprises one or more of the icons within the menu structure which the user selected.

12. The system of claim 8, wherein the tracking data comprises one or more options within the menu structure which were visited multiple times during a user session.

13. The system of claim 8, wherein the determining comprises:

determining the streaming media content recommendation based on a bitmap corresponding to the previous viewing patterns of the plurality of users of the selected group.

14. The system of claim 13, wherein the bitmap comprises a repetition bitmap that indicates which streaming media content was viewed multiple times.

15. A non-transitory computer-readable device having instructions stored thereon that, when executed by at least one computing device, cause the at least one computing device to perform operations comprising:

determining tracking data for a user indicating how the user interacted with a menu structure of a streaming media application;

selecting a group from a plurality of user groups into which to group the user based on the tracking data, wherein each group comprises data from a plurality of users;

determining a streaming media content recommendation based on previous viewing patterns associated with the plurality of users of the selected group; and

providing, via the menu structure, the streaming media content recommendation.

16. The device of claim 15, wherein the tracking data comprises an order in which one or more streaming media options were navigated by the user.

17. The device of claim 15, wherein the tracking data comprises one or more icons within the menu structure over which the user lingered and did not select.

18. The device of claim 17, wherein the tracking data also comprises one or more of the icons within the menu structure which the user selected.

19. The device of claim 15, wherein the tracking data comprises one or more options within the menu structure which were visited multiple times during a user session.

20. The device of claim 15, wherein the determining comprises:

determining the streaming media content recommendation based on a bitmap corresponding to the previous viewing patterns of the plurality of users of the selected group.