METHOD AND APPARATUS FOR CLASSIFYING CONTENT

• US 20100325583A1
• Filed: 06/18/2009
• Published: 12/23/2010
• Est. Priority Date: 06/18/2009
• Status: Active Grant

• Current Assignee: Conversant Wireless Licensing S.à.r.l. (f/k/a Core Wireless Licensing S.a.r.l.) (MOSAID Technologies Inc. (f/k/a Conversant Intellectual Property Management))
• Original Assignee: Nokia Corporation
• Inventors: Knorring, Niklas Von, Kolesnikov, Dmitry, Aarni, Ville, Sainio, Miikka, Lahtiranta, Atte
• Granted Patent: US 9,514,472 B2
• Time in Patent Office: Days
• US Class Current: 715/833
• CPC Class Codes: G06F 16/48 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0203 Market surveys; Market polls

Abstract

An approach is provided for receiving, in association with first content to be rendered on user equipment, a vector of one or more values for a corresponding one or more sliding scales. A determination is made of a relationship of the first content to second content based, at least in part, on the vector received. Each value of the vector represents a relative position along a corresponding sliding scale between a minimum label and a maximum label for the sliding scale.

Claims

1. A method comprising:

receiving, in association with first content to be rendered on user equipment, a vector of one or more values for corresponding one or more sliding scales; and

determining a relationship of the first content to second content based, at least in part, on the vector received,

wherein each value of the vector represents a relative position along a corresponding sliding scale between a minimum label and a maximum label for the sliding scale.

2. A method of claim 1, further comprising receiving initialization data that indicates the minimum label and maximum label for each sliding scale of the one or more sliding scales.

3. A method of claim 1, further comprising storing the vector in association with metadata about the first content.

4. A method of claim 1, wherein:

the method further comprises sending data indicating the minimum label and maximum label for each sliding scale of the one or more sliding scales; and

the vector is received in response to sending the data indicating the minimum label and maximum label.

5. A method of claim 4, wherein sending the data indicating the minimum label and maximum label further comprises,

sending data that indicates a method for rendering the one or more sliding scales, or sending data that indicates a granularity for reporting the relative position along the corresponding sliding scale.

6. A method of claim 1, further comprising receiving, in association with the second content to be rendered on user equipment, a second vector of one or more values for the corresponding one or more sliding scales.

7. A method of claim 1, wherein the relationship is expressed as either a classification for the first content, or a measure of relevance of the first content for the second content.

8. A method of claim 1, further comprising making a recommendation to a user about content based on the relationship of the first content to the second content.

9. An apparatus comprising:

at least one processor; and

at least one memory including computer program code, the memory and the computer program code configured to, with the processor, cause the apparatus to perform at least the following;

receive, in association with first content to be rendered on user equipment, a vector of one or more values for a corresponding one or more sliding scales; and

determine a relationship of the first content to second content based, at least in part, on the vector received,

wherein each value of the vector represents a relative position along a corresponding sliding scale between a minimum label and a maximum label for the sliding scale.

10. An apparatus of claim 9, further comprising receiving initialization data that indicates the minimum label and maximum label for each sliding scale of the one or more sliding scales.

11. An apparatus of claim 9, further comprising storing the vector in association with metadata about the first content.

12. An apparatus of claim 9, wherein:

the method further comprises sending data indicating the minimum label and maximum label for each sliding scale of the one or more sliding scales; and

the vector is received in response to sending the data indicating the minimum label and maximum label.

13. An apparatus of claim 12, wherein sending the data indicating the minimum label and maximum label further comprises,

sending data that indicates a method for rendering the one or more sliding scales, or

sending data that indicates a granularity for reporting the relative position along the corresponding sliding scale.

14. An apparatus of claim 9, further comprising receiving, in association with the second content to be rendered on user equipment, a second vector of one or more values for the corresponding one or more sliding scales.

15. An apparatus of claim 9, wherein the relationship is expressed as either a classification for the first content, or a measure of relevance of the first content for the second content.

16. An apparatus of claim 9, further comprising making a recommendation to a user about content based on the relationship of the first content to the second content.

17. An method comprising:

facilitating access to receive, in association with first content to be rendered on user equipment, a vector of one or more values for a corresponding one or more sliding scales, and

to transmit data indicating a relationship of the first content to second content based, at least in part, on the vector received,

wherein

each value of the vector represents a relative position along a corresponding sliding scale between a minimum label and a maximum label for the sliding scale.

18. A method of claim 17, wherein initialization data is received, the initialization data indicating the minimum label and maximum label for each sliding scale of the one or more sliding scales.

19. A method of claim 17, wherein the vector of values is stored in association with metadata about the first content.

20. A method of claim 17, wherein the step of facilitating comprises sending data indicating the minimum label and maximum label for each sliding scale of the one or more sliding scales, wherein the vector is received in response to sending the data indicating the minimum label and maximum label.