Using content structure to socially connect users

• US 9,959,251 B2
• Filed: 10/31/2016
• Issued: 05/01/2018
• Est. Priority Date: 05/23/2014
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google LLC (Alphabet Inc.)
• Inventors: Morton, Michael Salomon, Faller, Jeremy
• Primary Examiner(s): HUYNH, CONG LAC T
• Application Number:
  US15/339,547
• Publication Number:
  US 20170046312A1
• Time in Patent Office: 547 Days
• Field of Search: 715200
• CPC Class Codes: G06F 16/335 Filtering based on additional data, e.g. user or group profiles filtering in web context G06F16/9535, G06F16/9536
• CPC Class Codes: G06F 3/0483 Interaction with page-structured environments, e.g. book metaphor
• CPC Class Codes: G06F 3/04847 Interaction techniques to control parameter settings, e.g. interaction with sliders or dials
• CPC Class Codes: G06F 40/106 Display of layout of documents; Previewing
• CPC Class Codes: G06F 40/169 Annotation, e.g. comment data or footnotes
• CPC Class Codes: G06F 40/205 Parsing
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 51/212 using filtering or selective blocking
• CPC Class Codes: H04L 51/52 for supporting social networking services
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46

Abstract

The structure of a digital content item is used to socially connect users consuming the digital content item. The structured representation of the digital content item is determined. This structured representation is analyzed to identify key events within the digital content item. A user'"'"'s current location within the digital content item is identified. Social communications of the user are filtered responsive to the user'"'"'s current location and the identified key events within the digital content item. In this way, the user may peruse social media without inadvertently reading communications that give away (e.g., spoil) key events such as important plot points.

Claims

1. A computer-implemented method of using a structure of a digital content item to socially connect users consuming the digital content item, comprising:

determining a structured representation of the digital content item that describes a semantic meaning of content within the digital content item;

analyzing the structured representation to identify key events within the digital content item, each identified key event having a respective location within the digital content item;

identifying a user'"'"'s current location within the digital content item; and

preventing the user from reading social communication messages, made by other users who have current locations past a key event within the digital content item that the user has not encountered, while enabling electronic social communications of the user on a social communication network by at least filtering the electronic social communications on the social communications network based on the user'"'"'s current location within the digital content item and the identified key events within the digital content item, the filtering comprising;

determining, based on the user'"'"'s current location within the digital content item and the respective locations of the identified key events within the digital content item, one or more key events of the identified key events within the digital content item that the user has not encountered;

identifying the social communication messages made by the other users who have current locations within the digital content item past the respective location of any of the one or more key events of the identified key events within the digital content item that the user has not encountered; and

filtering out the identified social communication messages made by the other users who have current locations past the respective locations of any of the one or more key events that the user has not encountered.

2. The computer-implemented method of claim 1, wherein determining the structured representation of the digital content item comprises:

receiving annotation data for the digital content item from a plurality of users;

determining, based on the annotation data, frequencies at which portions of the digital content item are annotated; and

determining relative importances of the portions of the digital content item based on the determined frequencies;

wherein the key events within the digital content item are identified based on the relative importances of the portions.

3. The computer-implemented method of claim 1, wherein analyzing the structured representation to identify key events comprises:

examining the semantic meaning of the content within the digital content item to identify a plurality of events described within the digital content item;

determining relative importances of the plurality of events; and

identifying a subset of the plurality of events as key events based on the relative importances of the plurality of events.

4. The computer-implemented method of claim 1, wherein identifying the user'"'"'s current location within the digital content item comprises:

determining a current reading position of the user in the digital content item.

5. The computer-implemented method of claim 1, wherein filtering electronic social communications further comprises:

providing a plurality of electronic discussion forums for the digital content item, the electronic discussion forums corresponding to a plurality of intervals between key events of the identified key events within the digital content item;

determining an interval of the plurality of intervals containing the user'"'"'s current location in the digital content item; and

placing the user in an electronic discussion forum of the plurality of electronic discussion forums corresponding to the interval containing the user'"'"'s current location in the digital content item.

6. The computer-implemented method of claim 1, wherein identifying the user'"'"'s current location within the digital content item comprises:

receiving a social communication message from the user; and

parsing a tag associated with the received social communication message to determine a location in the digital content item to which the social communication message pertains.

7. A non-transitory computer-readable storage medium storing executable computer program instructions for using a structure of a digital content item to socially connect users consuming the digital content item, the instructions executable to:

determine a structured representation of the digital content item that describes a semantic meaning of content within the digital content item;

analyze the structured representation to identify key events within the digital content item, each identified key event having a respective location within the digital content item;

identify a user'"'"'s current location within the digital content item; and

prevent the user from reading social communication messages, made by other users who have current locations past a key event within the digital content item that the user has not encountered, while enabling electronic social communications of the user on a social communication network by at least filtering the electronic social communications on the social communications network based on the user'"'"'s current location within the digital content item and the identified key events within the digital content item, the filtering comprising;

determining, based on the user'"'"'s current location within the digital content item and the respective locations of the identified key events within the digital content item, one or more key events of the identified key events within the digital content item that the user has not encountered;

identifying the social communication messages made by the other users who have current locations within the digital content item past the respective location of any of the one or more key events of the identified key events within the digital content item that the user has not encountered; and

filtering out the identified social communication messages made by the other users who have current locations past the respective locations of any of the one or more key events that the user has not encountered.

8. The non-transitory computer-readable storage medium of claim 7, wherein the instructions are further executable to determine the structured representation of the digital content item by at least being executable to:

receive annotation data for the digital content item from a plurality of users;

determine, based on the annotation data, frequencies at which portions of the digital content item are annotated; and

determine relative importances of the portions of the digital content item based on the determined frequencies;

wherein the key events within the digital content item are identified based on the relative importances of the portions.

9. The non-transitory computer-readable storage medium of claim 7, wherein the instructions are further executable to analyze the structured representation to identify key events by at least being executable to:

examine the semantic meaning of the content within the digital content item to identify a plurality of events described within the digital content item;

determine relative importances of the plurality of events; and

identify a subset of the plurality of events as key events based on the relative importances of the plurality of events.

10. The non-transitory computer-readable storage medium of claim 7, wherein the instructions are further executable to identify the user'"'"'s current location within the digital content item by at least being executable to:

determine a current reading position of the user in the digital content item.

11. The non-transitory computer-readable storage medium of claim 7, wherein the instructions are further executable to filter electronic social communications by at least being executable to:

provide a plurality of electronic discussion forums for the digital content item, the electronic discussion forums corresponding to a plurality of intervals between key events of the identified key events within the digital content item;

determine an interval of the plurality of intervals containing the user'"'"'s current location in the digital content item; and

place the user in an electronic discussion forum of the plurality of electronic discussion forums corresponding to the interval containing the user'"'"'s current location in the digital content item.

12. The non-transitory computer-readable storage medium of claim 7, wherein the instructions are further executable to identify the user'"'"'s current location within the digital content item by at least being executable to:

receive a social communication message from the user; and

parse a tag associated with the received social communication message to determine a location in the digital content item to which the social communication message pertains.

13. A computing device for using a structure of a digital content item to socially connect a user consuming the digital content item using the computing device, comprising:

a computer processor for executing computer program instructions; and

a non-transitory computer-readable storage medium storing computer program instructions executable to;

identify the user'"'"'s current location within the digital content item; and

prevent the user from reading social communication messages, made by other users who have current locations past a key event within the digital content item that the user has not encountered, while enabling electronic social communications of the user on a social communication network by at least filtering the electronic social communications on the social communications network based on the user'"'"'s current location within the digital content item and key events within the digital content item, the key events identified responsive to determining a structured representation of the digital content item that describes a semantic meaning of content within the digital content item and analyzing the structured representation, the filtering comprising;

determining, based on the user'"'"'s current location within the digital content item and the respective locations of the identified key events within the digital content item, one or more key events of the identified key events within the digital content item that the user has not encountered;

identifying the social communication messages made by the other users who have current locations within the digital content item past the respective location of any of the one or more key events of the identified key events within the digital content item that the user has not encountered; and

filtering out the identified social communication messages made by the other users who have current locations past the respective locations of any of the one or more key events that the user has not encountered.

14. The computing device of claim 13, wherein the instructions are further executable to:

receive an annotation of a portion of the digital content item from the user; and

provide annotation data describing the annotation to a content structure server, wherein the content structure server is adapted to;

receive annotation data for the digital content item from a plurality of users;

determine, based on the annotation data, frequencies at which portions of the digital content item are annotated;

identify key events within the digital content item based on the frequencies at which portions of the digital content item are annotated; and

provide a list of the identified key events within the digital content item to the computing device.

15. The computing device of claim 13, wherein the instructions are further executable to:

provide a user interface adapted to receive an identification of a key event of the identified key events within the digital content item from the user; and

receive, via the user interface, the identification of the key event within the digital content item from the user.

16. The computer device of claim 13, wherein the instructions are further executable to analyze the structured representation by at least being executable to:

examine the semantic meaning of the content within the digital content item to identify a plurality of events described within the digital content item;

determine relative importances of the plurality of events; and

identify a subset of the plurality of events as key events based on the relative importances of the plurality of events.

17. The computing device of claim 13, wherein the instructions are further executable to filter electronic social communications by at least being executable to:

identify an outbound electronic social communication made by the user pertaining to the digital content item; and

tag the outbound electronic social communication with context information identifying the content item and the user'"'"'s current location within the digital content item.

18. The computing device of claim 13, wherein the instructions are further executable to identify the user'"'"'s current location within the digital content item by at least being executable to:

determine a current reading position of the user in the digital content item.