Content access analytics

• US 8,204,977 B1
• Filed: 11/08/2011
• Issued: 06/19/2012
• Est. Priority Date: 11/08/2011
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Hamilton, Theodore Kent, Wattenhofer, Mirjam, Brodersen, Anders Torp
• Primary Examiner(s): NGUYEN, MINH CHAU
• Application Number:
  US13/291,898
• Time in Patent Office: 224 Days
• Field of Search: 709/203, 709217-219, 709224-226, 709/231
• US Class Current: 709/223
• CPC Class Codes: H04L 12/6418 Hybrid transport

Abstract

Systems and methods for media access analytics are disclosed herein. When media content such as a video is accessed, typically by a referring link, the referrer can be identified. The referrer can be classified as an internal referrer, an external referrer, a viral referrer, or into another of a set of predefined classes. Statistics associated with access to the media content can be generated according to an associated class of referrer and presented to a user associated with the media content (e.g., a user who uploaded the video) or another authorized party.

Claims

1. A content access analytics system, comprising:

a memory that stores computer executable components; and

a microprocessor that executes the following computer executable components stored in the memory;

an identification component configured to identify a referrer of media content;

a classification component configured to classify the referrer into one of a set of predefined classes, wherein the set of predefined classes includes;

(1) an internal referrer class, (2) an external referrer class, and (3) a viral referrer class, wherein the classification component classifies the referrer into the internal referrer class in response to the referrer being in a content domain associated with the media content, or classifies the referrer into the external referrer class in response to the referrer being external to the content domain associated with the media content; and

a statistics component configured to generate statistics associated with access to the media content for at least one class included in the set of predefined classes.

2. The system of claim 1, wherein the media content is a video uploaded to a third party video content domain by a user associated with the video.

3. The system of claim 1, wherein the referrer relates to a source or a location of a reference link utilized to access the media content.

4. The system of claim 1, wherein the referrer is associated with at least one of content domain advertising, a content domain annotation, a content domain channel, a content domain promotion, a content domain subscription, or a content domain search.

5. The system of claim 1, wherein the referrer is associated with an external web site or web address or associated with results of a search query from an external search.

6. The system of claim 1, wherein the classification component classifies the referrer into the viral referrer class in response to the referrer being unknown.

7. The system of claim 6, wherein the referrer is associated with an embedded content presenter or a mobile access.

8. The system of claim 1, wherein the classification component classifies the referrer into the viral referrer class in response to the referrer being associated with an embedded content presenter or a mobile access.

9. The system of claim 1, wherein the statistics component generates statistics regarding number of accesses of the media content relating a particular class from the set of predefined classes.

10. The system of claim 9, wherein the statistics component generates statistics regarding number of accesses of the media content relating to a subclass of the particular class.

11. The system of claim 1, further comprising a presentation component configured to present the statistics.

12. The system of claim 11, wherein the presentation component presents multiple views of the statistics.

13. The system of claim 12, wherein the multiple views include an aggregate view of the statistics, a class-specific view of the statistics, or a subclass-specific view of the statistics.

14. A method for presenting content consumption statistics, comprising:

employing a computer-based processor to execute computer executable components stored within a memory to perform the following;

identifying a referrer of media content;

categorizing the referrer into one of a set of predefined classes, wherein the predefined classes includes;

an internal referrer class, an external referrer class, and a viral referrer class, wherein the referrer is categorized into the internal referrer class in response to a source of a reference link utilized to access the media content being included in a content domain associated with the media content, or categorized into the external referrer class in response to a source of a reference link utilized to access the media content being external to the content domain associated with the media content;

constructing statistics associated with access to the media content for at least one class included in the set of predefined classes; and

transmitting at least a subset of the statistics to a computer-based display configured for presenting the subset of the statistics.

15. The method of claim 14, wherein the referrer is categorized into the viral referrer class in response to a source of a reference link utilized to access the media content being included in an embedded content presenter or a mobile application.

16. The method of claim 14, wherein the statistics relates to a number of accesses to the media content originating from a particular class from the set of predefined classes.

17. The method of claim 16, wherein the statistics relates to a number of accesses to the media content originating from a subclass of the particular class.

18. The method of claim 14, wherein the at least a subset of statistics presented includes multiple views of the statistics.

19. The method of claim 18, wherein the multiple views includes at least one of an aggregate view of the statistics, a class-specific view of the statistics, or a subclass-specific view of the statistics.

20. An apparatus comprising a non-transitory computer readable storage medium encoding the following computer executable components:

an information component configured to request referrer data associated with a video available for access on a video hosting domain;

a receiving component configured to receive the referrer data and a set of predefined classes including at least an internal referrer class, an external referrer class, and a viral referrer class, wherein the referrer data is classified into the internal referrer class in response to the referrer data being in a content domain associated with the media content, or classified into the external referrer class in response to the referrer data being external to the content domain associated with the media content;

an organization component configured to organize the referrer data according to the predefined classes; and

a presentation component configured to present a view of statistical data associated with the referrer data.

21. The apparatus of claim 20, wherein the view of statistical data includes an aggregate view of all or a portion of the referrer data.

22. The apparatus of claim 20, wherein the view of statistical data includes a class view of the referrer data, wherein the class view depicts all or a portion of referrer data associated with one or more class included in the predefined classes.

23. The apparatus of claim 20, wherein the view of statistical data includes a subclass view of the referrer data, wherein the subclass view depicts all or a portion of referrer data associated with one or more subclass of at least one class included in the predefined classes.