Customized content consumption interface

Patent metadata

Field	Value
Publication number	US-9710472-B2
Application number	US-201514742856-A
Country	US
Kind code	B2
Filing date	Jun 18, 2015
Priority date	Feb 25, 2013
Publication date	Jul 18, 2017
Grant date	Jul 18, 2017

Abstract

A content processing device may be operable to analyze activity information associated with particular content identified in a content library associated with a user account. One or more entities associated with the particular content may be identified by the content processing device. The content processing device may collect, from various sources, information related to each of the identified one or more entities. The content processing device may determine, based on one or both of a result of the analysis and the collected information, update information for the particular content. The content processing device may then add, based on one or more ranking factors, item information comprising the particular content along with the determined update information to a list of items associated with the user account. Upon receiving an indication from a data processing device, the content processing device may communicate the list of items to the data processing device.

First claim

What is claimed is:

1. A method comprising:
determining, by a server storing a content library, that a user account associated with the content library has not interacted with a particular portion of a particular content item stored in the content library;
identifying an entity associated with the particular portion of the particular content item;
determining, based on the entity, update information; and
providing an indicator of the update information to a user device displaying a content interface associated with the user account.

2. The method of claim 1 , further comprising:
prior to determining the update information, collecting information related to the entity.

3. The method of claim 1 , further comprising:
prior to providing the update information to the user device, ranking the update information based on a ranking factor;
wherein the indicator of the update information is provided to the user device within a list that is ordered based on the ranking factor.

4. The method of claim 1 , wherein:
the particular content item is a video;
the particular portion of the particular content is a part of the video;
the entity is an actor in the part of the video; and
the update information is a video clip of the actor.

5. The method of claim 1 , wherein the particular content comprises text content, video content, and/or audio content.

6. The method of claim 1 , wherein the update information comprises text on a webpage and wherein the text mentions the entity.

7. The method of claim 1 , further comprising:
prior to providing the update information to the user device, ranking the update information based on a ranking factor selected from the group consisting of: time of occurrence, entity identification, entity frequency, entity match, interest level, clustered interests, and library activity.

8. The method of claim 1 , wherein content of the particular content item and content of the portion of the particular content item include content selected by a user associated with the user account.

9. The method of claim 1 , further comprising:
providing, by the server to the user device, for display on the user device, a network link for accessing the particular content item, wherein the link presents an indication of content of the particular content item and of content of the particular portion of the particular content item;
receiving, by the server from the user device, an indicator that the user account has selected the link;
providing, by the server to the user device for presentation by the user device, at least a portion of the particular content item.

10. The method of claim 9 , wherein the indication of the content of the particular content item and the indication of the content of the particular portion of the particular content item comprises a title of the content item.

11. A system comprising:
a non-transitory computer readable medium storing a content library; and
a processor in communication with the non-transitory computer readable medium and configured to execute instructions for:
determining that a user account associated with the content library has not interacted with a portion of a particular content item stored in the content library;
identifying an entity associated with the portion of the particular content item;
determining, based on the entity, update information; and
providing a content interface to a user device wherein the content interface concurrently displays an indicator of the update information and an indicator of the particular content item.

12. The system of claim 11 , wherein the processor is further configured to execute instructions for:
prior to determining, based on the entity, the update information, collecting information related to the entity.

13. The system of claim 11 , wherein the processor is further configured to execute instructions for:
prior to providing the update information to the user device, ranking the update information based on a ranking factor;
wherein the indicator of the update information is provided to the user device within a list that is ordered based on the ranking factor.

14. The system of claim 11 , wherein:
the particular content item is a video;
the portion of the particular content is a part of the video;
the entity is an actor in the part of the video; and
the update information is a video clip of the actor.

15. The system of claim 11 , wherein the particular content comprises text content, video content, and/or audio content.

16. The system of claim 11 , wherein the update information comprises text on a webpage and wherein the text mentions the entity.

17. The system of claim 11 , wherein the processor is further configured to execute instructions for:
prior to providing the update information to the user device, ranking the update information based on a ranking factor selected from the group consisting of: time of occurrence, entity identification, entity frequency, entity match, interest level, clustered interests, and library activity.

18. A non-transitory computer readable medium storing instructions comprising:
determining, by a server storing a content library, that a user account associated with the content library has not interacted with a portion of a particular content item stored in the content library;
identifying an entity associated with the portion of the particular content item;
determining, based on the entity, update information;
receiving, from a user device, an indicator of access to the particular content by the user account; and
in response to the indicator, providing an indicator of the update information to the user device.

19. The non-transitory computer readable medium of claim 18 , wherein the instructions further comprise:
prior to determining the update information, collecting information related to the entity.

20. The non-transitory computer readable medium of claim 18 , wherein the instructions further comprise:
prior to providing the update information to the user device, ranking the update information based on a ranking factor;
wherein the indicator of the update information is provided to the user device within a list that is ordered based on the ranking factor.

21. The non-transitory computer readable medium of claim 18 ,
wherein:
the particular content item is a video;
the portion of the particular content is a part of the video;
the entity is an actor in the part of the video; and
the update information is a video clip of the actor.

22. The non-transitory computer readable medium of claim 18 , wherein the particular content comprises text content, video content, and/or audio content.

23. The non-transitory computer readable medium of claim 18 , wherein the instructions further comprise:
prior to providing the update information to the user device, ranking the update information based on a ranking factor selected from the group consisting of: time of occurrence, entity identification, entity frequency, entity match, interest level, clustered interests, and library activity.

Assignees

• Google Inc

Inventors

• Liu Sean
• Sherrets Doug
• Paglia Marco

Classifications

• G06F17/30825

  Physics · mapped topic

• G06F17/3005

  Physics · mapped topic

• G06F17/30029

  Physics · mapped topic

• G06F17/3053

  Physics · mapped topic

• G06F17/30867

  Physics · mapped topic