Method and apparatus for classifying content

• US 9,514,472 B2
• Filed: 06/18/2009
• Issued: 12/06/2016
• 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: Core Wiresless Licensing SARL (MOSAID Technologies Inc. (f/k/a Conversant Intellectual Property Management))
• Inventors: Lahtiranta, Atte Tapio, Aarni, Ville, Sainio, Miikka, Von Knorring, Niklas Tony, Kolesnikov, Dmitry
• Primary Examiner(s): BHARGAVA, ANIL K
• Application Number:
  US12/487,438
• Publication Number:
  US 20100325583A1
• Time in Patent Office: 2,728 Days
• Field of Search: 715/833
• US Class Current: 1/1
• 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 a first content to be rendered on user equipment, a first vector, the first vector being a first combination of relative positional values along corresponding sliding scales;

determining a relevance between the first content and a second content based, at least in part, on a mathematical distance in a vector space between the first vector and a second vector associated with the second content, the second vector being a second combination of relative positional values along the corresponding sliding scales; and

based on the determination, initiating a rendering of the second content on the user equipment,

wherein each of the corresponding sliding scales has a minimum label and a maximum label, and the second vector corresponds to a subspace of the vector space, and the subspace is used to classify the first vector,

wherein the corresponding sliding scales comprise two or more interlocked scales, the interlocked scales moving concurrently when there is a change to any of the interlocked scales, and

wherein the method comprises sending data indicating the minimum label and the maximum label for each of the sliding scales, wherein the first vector is received in response to sending the data indicating the minimum label and the maximum label.

2. The method of claim 1, further comprising receiving initialization data that indicates the minimum label and the maximum label for each of the sliding scales.

3. The method of claim 1, wherein sending the data indicating the minimum label and the maximum label further comprises sending at least one of data that indicates a method for rendering the sliding scales and data that indicates a granularity for reporting the relative position along the corresponding sliding scale.

4. The method of claim 1, further comprising receiving, in association with the second content to be rendered on user equipment, the second vector.

5. The method of claim 1, wherein the relevance is expressed according to at least one of a classification for the first content and a measure of relevance of the first content for the second content.

6. The method of claim 1, further comprising making a recommendation to a user about content based on the relevance of the first content to the second content.

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

8. An apparatus comprising:

a processor; and

a memory storing computer program code, the computer program code configured to, when executed by the processor, direct the apparatus to;

receive, in association with a first content to be rendered on user equipment, a first vector, the first vector being a first combination of relative positional values along corresponding sliding scales;

determine a relevance between the first content and a second content based, at least in part, on a mathematical distance in a vector space between the first vector and a second vector associated with the second content, the second vector being a second combination of relative positional values along the corresponding sliding scales; and

based on the determination, initiating a rendering of the second content on the user equipment,

wherein each of the corresponding sliding scales has a minimum label and a maximum label, and the second vector corresponds to a subspace of the vector space, and the subspace is used to classify the first vector,

wherein the corresponding sliding scales comprise two or more interlocked scales, the interlocked scales moving concurrently when there is a change to any of the interlocked scales, and

wherein the computer program code is configured to direct the apparatus to send data indicating the minimum label and the maximum label for each of the sliding scales, and the first vector is received in response to sending the data indicating the minimum label and the maximum label.

9. The apparatus of claim 8, wherein the computer program code is configured to direct the apparatus to receive initialization data that indicates the minimum label and the maximum label for each of the sliding scales.

10. The apparatus of claim 8, wherein the computer program code is configured to direct the apparatus to send the data indicating the minimum label and the maximum label by sending at least one of data that indicates a method for rendering the sliding scales and data that indicates a granularity for reporting the relative position along the corresponding sliding scale.

11. The apparatus of claim 8, wherein the computer program code is configured to direct the apparatus to receive, in association with the second content to be rendered on user equipment, the second vector.

12. The apparatus of claim 8, wherein the relevance is expressed according to at least one of a classification for the first content and a measure of relevance of the first content for the second content.

13. The apparatus of claim 8, wherein the computer program code is configured to direct the apparatus to make a recommendation to a user about content based on the relevance of the first content to the second content.

14. The apparatus of claim 8, wherein the computer program code is configured to direct the apparatus to store the first vector in association with metadata about the first content.

15. A method comprising:

receiving, in association with a first content to be rendered on user equipment, a first vector, the first vector being associated with the first content and being a first combination of relative positional values along corresponding sliding scales;

transmitting data indicating a relevance between the first content and a second content based, at least in part, on a mathematical distance in a vector space between the first vector and a second vector associated with the second content, the second vector being a second combination of relative positional values along the corresponding sliding scales; and

based on the determination, initiating a rendering of the second content on the user equipment,

wherein each of the corresponding sliding scales has a minimum label and a maximum label, and the second vector corresponds to a subspace of the vector space, and the subspace is used to classify the first vector,

wherein the corresponding sliding scales comprise two or more interlocked scales, the interlocked scales moving concurrently when there is a change to any of the interlocked scales, and

wherein facilitating comprises sending data indicating the minimum label and the maximum label for each of the sliding scales, and wherein the first vector is received in response to sending the data indicating the minimum label and the maximum label.

16. The method of claim 15, wherein initialization data is received, and the initialization data indicates the minimum label and maximum label for each of the sliding scales.

17. The method of claim 15, wherein the first vector of values is stored in association with metadata about the first content.