PERSONALIZED CONTENT SUGGESTIONS FOR SUBSCRIBERS OF A CHANNEL OF A CONTENT SHARING PLATFORM

• US 20140215349A1
• Filed: 01/30/2013
• Published: 07/31/2014
• Est. Priority Date: 01/30/2013
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Sassoon, Josh, Kosslyn, David, Conrads, Alexandra, Peterson, Stace
• Granted Patent: US 9,208,237 B2
• Time in Patent Office: Days
• US Class Current: 715/745
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 30/0631 Item recommendations

Abstract

A method for providing personalized content suggestions for subscribers of a channel of a content sharing platform is disclosed. The method includes determining that a user accessing a page of a channel of a content sharing platform is a subscriber of the channel. The method also includes accessing a viewing history of the user, the viewing history identifying content items of the content sharing platform that have been accessed by the user. The method further includes providing a user interface on the page of the channel, the user interface tailored to the user and the channel based on the user being a subscriber of the channel and the accessed viewing history of the user.

Claims

1. A method comprising:

determining, by a processing device, that a user accessing a page of a channel of a content sharing platform is a subscriber of the channel;

accessing a viewing history of the user, the viewing history identifying content items of the content sharing platform that have been accessed by the user; and

providing a user interface on the page of the channel, the user interface tailored to the user and the channel based on the user being a subscriber of the channel and the accessed viewing history of the user.

2. The method of claim 1, wherein the user interface comprises a portion of the page and is located at a top section of the page.

3. The method of claim 1, further comprising:

determining, based on the accessed viewing history of the user, a predetermined number of content items associated with the channel, the predetermined number of content items comprising content items that the user recently viewed; and

providing the predetermined number of content items in the user interface.

4. The method of claim 1, further comprising:

determining, based on the accessed viewing history and metadata associated with content items of the accessed viewing history, one or more recommended content items for the user; and

providing the determined one or more recommended content items in the user interface.

5. The method of claim 4, further comprising correlating the metadata of the content items to determine one or more preferences of the user, the one or more preferences utilized for the determining the one or more recommended content items.

6. The method of claim 4, wherein the metadata associated with the content items comprises at least one of a genre of the content item, keywords describing the content item, an episode number of the content item, or an author of the content item.

7. The method of claim 1, further comprising:

generating an abbreviated version of an activity feed of the channel; and

providing the generated abbreviated version of the activity feed in the user interface.

8. The method of claim 1, wherein the page of the channel is a document rendered in HyperText Markup Language (HTML).

9. A non-transitory machine-readable storage medium storing instructions which, when executed, cause a data processing system to perform a operations comprising:

determining, by a processing device, that a user accessing a page of a channel of a content sharing platform is a subscriber of the channel;

accessing a viewing history of the user, the viewing history identifying content items of the content sharing platform that have been accessed by the user;

determining, based on the accessed viewing history of the user, a predetermined number of content items associated with the channel, the predetermined number of content items comprising content items that the user recently viewed;

determining, based on the accessed viewing history and metadata associated with content items of the accessed viewing history, one or more recommended content items for the user;

generating an abbreviated version of an activity feed of the channel; and

providing, based on the user being a subscriber of the channel, a user interface on the page of the channel, the user interface comprising the predetermined number of content items, the one or more recommended content items, and the abbreviated version of the activity feed.

10. The non-transitory machine-readable storage medium of claim 9, wherein the user interface comprises a portion of the page and is located at a top section of the page.

11. The non-transitory machine-readable storage medium of claim 9, wherein an owner of the channel indicates a preference for a content item to include in the one or more recommended content items.

12. The non-transitory machine-readable storage medium of claim 9, wherein the one or more recommended content items comprise a content item that is next is a series of episodes of content items of the channel, wherein the user has not viewed the content item that is next.

13. The non-transitory machine-readable storage medium of claim 9, further comprising correlating the metadata of the content items to determine one or more preferences of the user, the one or more preferences utilized for the determining the one or more recommended content items.

14. The non-transitory machine-readable storage medium of claim 9, wherein the metadata associated with the content items comprises at least one of a genre of the content item, keywords describing the content item, an episode number of the content item, or an author of the content item.

15. The non-transitory machine-readable storage medium of claim 9, wherein the page of the channel is a document rendered in HyperText Markup Language (HTML).

16. A system comprising:

a processing device;

a memory coupled to the processing device, the memory to store a plurality of content items; and

a user interface (UI) engine executable by the processing device from the memory, the UI engine to;

determine that a user accessing a page of a channel of a content sharing platform is a subscriber of the channel;

access a viewing history of the user, the viewing history identifying content items of the plurality of content items that have been accessed by the user; and

provide a user interface on the page of the channel, the user interface tailored to the user and the channel based on the user being a subscriber of the channel and the accessed viewing history of the user.

17. The system of claim 16, wherein the UI engine further to:

determine, based on the accessed viewing history of the user, a predetermined number of content items associated with the channel, the predetermined number of content items comprising content items that the user most recently viewed; and

provide the predetermined number of content items in the user interface.

18. The system of claim 16, wherein the UI engine further to:

determine, based on the accessed viewing history and metadata associated with content items of the accessed viewing history, one or more recommended content items for the user; and

provide the determined one or more recommended content items in the user interface.

19. The system of claim 18, wherein the UI engine further to correlate the metadata of the content items to determine one or more preferences of the user, the one or more preferences utilized for the determining the one or more recommended content items.

20. The system of claim 16, wherein the UI engine further to:

generate an abbreviated version of an activity feed of the channel; and

provide the generated abbreviated version of the activity feed in the user interface.