COLLABORATION RECOMMENDATION AND EMBEDDED TRIGGER SELECTION IN DISTRIBUTED HETEROGENEOUS MEDIUMS

• US 20120143678A1
• Filed: 12/07/2010
• Published: 06/07/2012
• Est. Priority Date: 12/07/2010
• Status: Abandoned Application

• Current Assignee: Alcatel-Lucent SA (Nokia Corporation)
• Original Assignee: Alcatel-Lucent SA (Nokia Corporation)
• Inventors: NANDAGOPAL, Thyaga, SATHYANATH, Ajay
• Application Number:
  US12/961,864
• Publication Number:
  US 20120143678A1
• Time in Patent Office: Days
• US Class Current: 705/14.46
• CPC Class Codes: G06Q 30/0247 Calculate past, present or future revenues
• CPC Class Codes: G06Q 30/0251 Targeted advertisements

Abstract

A method of determining relevance values for triggers, in order to select relevant embedded triggers to be displayed with ads and/or content shown on billboards of various media types. The method includes determining a potential relevance of preselected ads and/or content that may provide a threshold relevance value for all triggers that are to be displayed with the preselected ad and/or content. Relevance values and potential relevance are determined by summing entity values. Entity values are determined by multiplying entity weights by a summation of keyword weights. Entity weights and keyword weights may be assigned based on industry experience or based on the ability of displayed entities and/or displayed keywords to generate revenue.

Claims

1. A method of determining a relevance value for triggers to be displayed on a billboard, the method comprising:

selecting, by a trigger generator, a content from a content server;

selecting, by the trigger generator, an ad from an ad server;

selecting, by the trigger generator, a first trigger from a trigger server;

assigning an entity weight to each entity to be displayed on the billboard;

determining, by the trigger generator, an entity relevance value of the first trigger for each entity;

determining, by the trigger generator, a first relevance value of the first trigger by summing the entity relevance values; and

selectively displaying the first trigger based on the determined first relevance value.

4. The method of claim 1, wherein a summation of the entity weights equals the value of 1.

5. The method of claim 1, further comprising:

assigning keyword weights to keywords associated with each entity.

6. The method of claim 5, wherein the determining of the entity relevance value for each entity comprises:

multiplying each entity weight by a summation of the keyword weights of the first trigger that are associated with each entity.

7. The method of claim 1, wherein the assigning of the entity weights to each entity further comprises:

prioritizing the entities based on generated revenue; and

ensuring that the assigned entity weights reflect the prioritizing of the entities based on the generated revenue.

8. The method of claim 5, wherein the assigning of the keyword weights further comprises:

tracking the use of keywords in advertising over a period of time;

prioritizing the keywords based on generated revenue for each keyword; and

ensuring that the assigned keyword weights reflect the prioritizing of the keywords based on the generated revenue.

10. The method of claim 1, further comprising:

selecting a second trigger from the trigger server;

determining a second entity relevance value of the second trigger for each entity;

determining a second relevance value of the second trigger by summing the second entity relevance values.

11. The method of claim 10, further comprising:

comparing the first relevance value against the second relevance value,

the selectively displaying of the first trigger based on the determined first relevance value including selecting the trigger with the highest relevance value as the trigger to be displayed on the billboard.

12. The method of claim 1, wherein either the content server or the ad server contain only a null set, such that the trigger is displayed on the billboard with only the content or only the ad.

2. The method of claim 2, wherein the entities to be displayed on the billboard include the content with an entity weight α

, the ad with an entity weight β

, and an intersection of the content and the ad with an entity weight γ

.

3. The method of claim 2, wherein the entities to be displayed on the billboard further include a global content with an entity weight δ

.

9. The method of claim 2, wherein the determining of the entity relevance values further comprises:

assigning keyword weights to keywords associated with each entity;

determining a first entity relevance value for the content, by multiplying a first entity weight by a summation of the keyword weights of keywords associated with both the first trigger and the content but not the ad;

determining a second entity relevance value for the ad, by multiplying a second entity weight by a summation of the keyword weights of keywords associated with both the first trigger and the ad but not the content;

determining a third entity relevance value for the intersection of ad and content, by multiplying a third entity weight by a summation of the keyword weights of keywords associated with the first trigger, the ad and the content.

13. A method of determining a potential relevance, comprising:

determining, at a trigger generator, if a content has been preselected;

computing, at the trigger generator, a content entity value for the preselected content, if the content has been preselected;

determining, at the trigger generator, if an ad has been preselected;

computing, at the trigger generator, an ad entity value for the preselected ad, if the ad has been preselected;

determining, at the trigger generator, the potential relevance by summing the entity values; and

selectively displaying a trigger, at a billboard, based on the determined potential relevance, the trigger being displayed with the preselected content and/or the preselected ad.

14. The method of claim 13, further comprising:

evaluating whether there is an ad that is equivalent to the preselected content, if the content has been preselected;

the computing of the content entity value including multiplying an entity weight for the intersection of the preselected content and the equivalent ad by a summation of keyword weights associated with the content, if there is an equivalent ad;

evaluating whether there is a content that is equivalent to the preselected ad, if the ad has been preselected;

the computing of the ad entity value including multiplying the entity weight for the intersection of the preselected ad and the equivalent content by a summation of keyword weights associated with the preselected ad, if there is an equivalent content.

15. The method of claim 14, further comprising:

the computing of the content entity value including multiplying a content entity weight by a summation of the keyword weights associated with the content, if there is not an equivalent ad;

the computing of the ad entity value including multiplying an ad entity weight by a summation of the keyword weights associated with the preselected ad, if there is not an equivalent content.

16. The method of claim 13, wherein a summation of the entity weights equals the value of 1.

17. The method of claim 15, further comprising:

prioritizing the entities based on generated revenue; and

ensuring that the entity weights reflect the prioritizing of the entities based on the generated revenue.

18. The method of claim 15, further comprising:

tracking the use of keywords in advertising over a period of time;

prioritizing the keywords based on generated revenue for each keyword; and

ensuring that the keyword weights reflect the prioritizing of the keywords based on the generated revenue.

19. The method of claim 13, further comprising:

setting a threshold relevance value for triggers, based on the potential relevance,

the selectively displaying of the trigger based on the determined potential relevance including displaying the trigger if the relevance value of the trigger is greater than the threshold relevance value.

20. The method of claim 19, wherein the setting of the threshold relevance value includes multiplying the potential relevance by a multiplier of 0.8.