Providing recommendations for electronic presentations based on contextual and behavioral data

Patent metadata

Field	Value
Publication number	US-9787785-B2
Application number	US-201414473576-A
Country	US
Kind code	B2
Filing date	Aug 29, 2014
Priority date	Jul 31, 2014
Publication date	Oct 10, 2017
Grant date	Oct 10, 2017

Abstract

Systems and methods are disclosed that recommend one or more electronic presentations to a user based on one or more factors. These factors may include contextual information, behavioral information, profile information, or combinations of the foregoing. Contextual information may include content and/or features extracted from a given electronic presentation. Behavioral information may include user behavioral data, such as the number of times a user has viewed a presentation, the amount of the presentation viewed by the user, presentations previously viewed by the user, and other such behavioral data. Profile information may include user professional profile information, such as skills the user has identified as possessing, employment history information, and other such user professional profile information.

First claim

The invention claimed is:

1. A computer-implemented method comprising:
extracting presentation content from a first electronic presentation being accessible to a plurality of users, the presentation content including at least one of graphical content, textual content, or audio content;
determining a first plurality of features from the extracted presentation content, the first plurality of features representing individual elements used to construct the extracted presentation content;
obtaining user behavior data for the first electronic presentation, the user behavior data indicating interactions with the first electronic presentation;
and
providing the determined first plurality of features and the user behavior data to a machine-learning model, wherein the machine-learning model determines a second electronic presentation as a recommended electronic presentation based on the provided first plurality of features and the provided user behavior data.

2. The computer-implemented method of claim 1 , wherein extracting presentation content from the first electronic presentation occurs based on a predetermined condition being satisfied.

3. The computer-implemented method of claim 2 , wherein the predetermined condition is the expiration of a predetermined time interval.

4. The computer-implemented method of claim 1 , further comprising obtaining user profile data for a user having requested the first electronic presentation; and
wherein the determining of the second electronic presentation is further based on the obtained user profile data.

5. The computer-implemented method of claim 1 , further comprising:
causing the display of the recommended electronic presentation based on a user having viewed the first electronic presentation.

6. The method of claim 1 , wherein the first plurality of features include at least one of: extracted tokens from the extracted presentation content, a detected language of the extracted presentation content, or a style feature of the extracted presentation content.

7. The method of claim 1 , further comprising:
generating a graphical user interface that displays:
the first electronic presentation; and
a container element comprising:
a first selectable element, wherein selecting the first selectable element causes the container element to display a first plurality of electronic presentations determined as being related to the first electronic presentation; and
a second selectable element, wherein selecting the second selectable element causes the container element to display a second plurality of electronic presentations having been authored by an author of the first electronic presentation; and

communicating the graphical user interface for display.

8. A system comprising:
a non-transitory, computer-readable medium storing computer-executable instructions; and
one or more processors in communication with the non-transitory, computer-readable medium that, having executed the computer-executable instructions, are configured to:
extract presentation content from a first electronic presentation being accessible to a plurality of users, the presentation content including at least one of graphical content, textual content, or audio content;
determine a first plurality of features from the extracted presentation content, the first plurality of features representing individual elements used to construct the extracted presentation content;
obtain user behavior data for the first electronic presentation, the user behavior data indicating interactions with the first electronic presentation;
and
provide the determined first plurality of features and the user behavior data to a machine-learning model, wherein the machine-learning model determines a second electronic presentation as a recommended electronic presentation based on the provided first plurality of features and the provided user behavior data.

9. The system of claim 8 , wherein the presentation content extracted from the first electronic presentation occurs based on a predetermined condition being satisfied.

10. The system of claim 9 , wherein the predetermined condition is the expiration of a predetermined time interval.

11. The system of claim 8 , wherein the one or more processors are further configured to obtain user profile data for a user having requested the first electronic presentation; and
wherein the second electronic presentation is further determined based on the obtained user profile data.

12. The system of claim 8 , wherein the one or more processors are further configured to cause the display of the recommended electronic presentation based on a user having viewed the first electronic presentation.

13. The system of claim 8 , wherein the first plurality of features include at least one of: extracted tokens from the extracted presentation content, a detected language of the extracted presentation content, or a style feature of the extracted presentation content.

14. The system of claim 8 , wherein the one or more processors are further configured to:
generate a graphical user interface that displays:
the first electronic presentation; and
a container element comprising:
a first selectable element, wherein selecting the first selectable element causes the container element to display a first plurality of electronic presentations determined as being related to the first electronic presentation; and
a second selectable element, wherein selecting the second selectable element causes the container element to display a second plurality of electronic presentations having been authored by an author of the first electronic presentation; and

communicate the graphical user interface for display.

15. A computer-implemented method comprising:
receiving a plurality of electronic presentations, the plurality of electronic presentations being accessible to a plurality of users via an electronic presentation system;
based on a predetermined condition being met, extracting content for each of the plurality of electronic presentations;
communicating the extracted content from the electronic presentation system to a social networking system;
determining a first plurality of features from the extracted content, the first plurality of features representing individual elements used to construct the extracted content;
obtaining user behavior data for one or more of the electronic presentations, the user behavior indicating interactions with corresponding electronic presentations selected from the one or more electronic presentations;
providing the determined first plurality of features and the user behavior data to a machine-learning model, wherein the machine learning model determines a recommended electronic presentation selected from the plurality of electronic presentations for a given electronic presentation selected from the plurality of electronic presentations; and
communicating the determined recommended electronic presentation to the electronic presentation system.

16. The computer-implemented method of claim 15 , wherein the predetermined condition comprises an expiration of a predetermined time interval.

17. The computer-implemented method of claim 15 , wherein the extracted content comprises at least one of a graphic, text, or audio.

18. The computer-implemented method of claim 15 , wherein the user interactions comprise which electronic presentations from the plurality of electronic presentations the user has viewed after having viewed the given electronic presentation.

19. The computer-implemented method of

Assignees

• Linkedin Corp

Inventors

• Liu Haishan
• Wu Lili
• Li Yanen
• Tang Liang
• Yan Baoshi
• Bhasin Anmol

Classifications

• G06Q10/40

  Business processes related to social networking or social networking services · CPC title

• G06Q30/0251 Primary

  Targeted advertisements · CPC title

• G06Q30/0269

  based on user profile or attribute · CPC title

• G06Q50/01

  Physics · mapped topic

• G06F17/30029

  Physics · mapped topic