METHOD OF AND SYSTEM FOR PRESENTING ENRICHED VIDEO VIEWING ANALYTICS

• US 20110145847A1
• Filed: 09/10/2010
• Published: 06/16/2011
• Est. Priority Date: 09/11/2009
• Status: Active Grant

• Current Assignee: Veveo, Inc. (Adeia Inc.)
• Original Assignee: Veveo, Inc. (Adeia Inc.)
• Inventors: KRISHNA, Ravi, BARVE, Rakesh, ARAVAMUDAN, Murali
• Granted Patent: US 9,166,714 B2
• Time in Patent Office: Days
• US Class Current: 725/9
• CPC Class Codes: H04H 60/32 Arrangements for monitoring conditions of receiving stations, e.g. malfunction or breakdown of receiving stations
• CPC Class Codes: H04H 60/43 for identifying broadcast channels
• CPC Class Codes: H04H 60/45 for identifying users
• CPC Class Codes: H04H 60/64 for providing detail information
• CPC Class Codes: H04H 60/72 using electronic programme guides [EPG] focusing on identifying broadcast space time H04H60/39 ; menu type display of EPG in television receivers H04N21/47
• CPC Class Codes: H04H 60/74 using programme related information, e.g. title, composer or interpreter

Abstract

A method of and system for presenting enriched video viewing analytics is presented. A method of presenting enriched statistical and analytical information includes receiving a catalog of a plurality of content items. Each content item has associated metacontent characterizing the content item. The method also includes receiving and storing operations of a user for interacting with one or more of the content items. The method further includes determining use and/or viewing statistics for, for example, the content items, metacontent associated with the content items, the numbers and types of devices viewing the content items, subscriber information, household information, and/or viewer demographic information for past and present time periods. The method also, optionally, includes estimating the likelihood of future user interaction operations.

Claims

1. A method of determining interaction analytics for user interactions with a catalog of audio/video content items, the method comprising:

providing a predefined collection of content identifiers for identifying content items based on characteristics of said content items;

providing access to a catalog of content items, a plurality of the content items of the catalog being associated with metacontent describing a corresponding content item;

analyzing the metacontent associated with at least one of the plurality of content items of the catalog and associating at least one content identifier with said at least one content item based on the metacontent associated with said at least one content item;

monitoring user interactions with the content items of the catalog and forming historical records of said interactions, the historical records including at least one content identifier associated with the content items with which the user interacted; and

determining interaction analytics for at least one of a set of content items of the catalog and a set of users having interacted with the content items of the catalog based on the historical records of user interactions and based on at least one specified content identifier.

2. The method of claim 1, further comprising identifying a type of device the user is using to interact with the content items, and wherein determining the interaction analytics for the set of users having interacted with the content items includes determining at least one of a number of and a set of a specified type of device the users are using to interact with content items during a specified period of time.

3. The method of claim 2, wherein the specified period of time is a current period of time.

4. The method of claim 2, wherein the specified period of time is a past period of time and further comprising estimating at least one of a number of and a set of a specified type of device users will use during a future period of time to interact with content items based on the interaction analytics determined for the past period of time.

5. The method of claim 1, wherein determining the interaction analytics includes determining at least one of a number of and a set of users performing at least one specified interaction during a specified period of time.

6. The method of claim 5, wherein the specified period of time is a current period of time.

7. The method of claim 5, wherein the specified period of time is a past period of time and further comprising estimating at least one of a number of and a set of users who will perform the specified interaction with content items during a future period of time based on the interaction analytics determined for the past period of time.

8. The method of claim 1, wherein determining interaction analytics includes determining at what playback position in a content item a specified user was interacting with said content item during a specified period of time, and wherein said content item was specified by the at least one specified content identifier.

9. The method of claim 8, wherein the specified period of time is a current period of time.

10. The method of claim 8, further comprising presenting a portion of the content item corresponding to the determined playback position.

11. The method of claim 1, wherein determining the interaction analytics for the set of users having interacted with the content items includes determining a set of content item preferences for at least one of the users.

12. The method of claim 11, further comprising determining a time during which the at least one of the users is interacting with the content items of the catalog and presenting an advertisement for at least one content item based on the set of content item preferences for the at least one user and based upon at least one of a content identifier associated with said advertized content item and the metacontent associated with said advertized content item.