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Updated by Logan Lynn Roberts on Dec 19, 2014
Headline for 23 Google AdHeat Patent Claims
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23 Google AdHeat Patent Claims

The 23 important claims detailed by the Google Adheat Patent which will change the face of Social Media Marketing & Influence Marketing forever!! #adheat #googleadheat

11

Influence scores for the users based on the received information

Influence scores for the users based on the received information

1/ A computer-implemented method comprising:
receiving at a server information indicating activity levels of users of a computer-implemented social network or acquaintance relationships of the users on the computer-implemented social network;
generating by the server influence scores for the users based on the received information;
determining that a difference between a first influence score of a propagating user and a second influence score of a recipient user is greater than a threshold; and
recursively propagating, by the server until an end condition is met, an ad through the computer-implemented social network between users having an acquaintance relationship by transmitting the ad from a propagating user to a recipient user, wherein the end condition comprises, for a particular propagating user, each candidate recipient user with an acquaintance relationship with the particular propagating user having either: i) an influence score that is greater than an influence score of the particular propagating user or ii) already received a transmission of the ad.

11

Influence/Content can pass from user to user

Influence/Content can pass from user to user

2/ The method of claim 1, wherein the recipient user acts as a second propagating user after the ad has been transmitted to the recipient user.

11

Rejection of Content Ceases the Viral Spread

Rejection of Content Ceases the Viral Spread

3/ The method of claim 1, wherein the end condition further comprises, for a particular propagating user, receiving an indication that user the particular propagating user has declined an opportunity to propagate the ad through the computer-implemented social network.

11

Social Signal Tracking if Recipients Like/Share Content

Social Signal Tracking if Recipients Like/Share Content

4/ The method of claim 3, wherein the indication is generated by a client associated with the particular propagating user in response to an action expressing disinterest in the ad.

11

Ad Substitution if Content Fails to Entice

Ad Substitution if Content Fails to Entice

5/ The method of claim 3, further comprising replacing by the server the ad with a substitute ad after the user declines to interact and recursively propagating by the server the substitute ad through the social network between users having an acquaintance relationship.

11

Ads Expire After a given Period

Ads Expire After a given Period

6/ The method of claim 1, wherein the end condition further comprises a time period for the ad has expired.

12

Each Ad can Have a Target Number of Impressions (or Propagations)

Each Ad can Have a Target Number of Impressions (or Propagations)

7/ The method of claim 1, wherein the end condition further comprises a target number of propagations for the ad has been met.

12

Ads Cease to Appear if Budget Expires

Ads Cease to Appear if Budget Expires

8/ The method of claim 1, wherein the end condition further comprises a budget for the ad has been exhausted.

12

Users can Interact with the Ad (Like and share)

Users can Interact with the Ad (Like and share)

9/ The method of claim 1, further comprising providing by the server the propagating user with an opportunity to interact with the ad.

12

Users Are Compensated/Rewarded for Sharing / Propagating the Ad Content

Users Are Compensated/Rewarded for Sharing / Propagating the Ad Content

10/ The method of claim 9, further comprising providing by the server compensation to the propagating user when the propagating user elects to propagate the ad by interacting with the ad.

12

the System Calculates how Ad Revenue is Distributed

the System Calculates how Ad Revenue is Distributed

11/ The method of claim 10, further comprising calculating by the server an amount of compensation based on a number of recipient users to which the ad is propagated.

13

Users Can Interact with the Content Life in Flow (Paid Content)

Users Can Interact with the Content Life in Flow (Paid Content)

12/ The method of claim 9, wherein the opportunity to interact is provided to the propagating user in a gadget located in the propagating user's display of the computer-implemented social network.

13

Commenting & Sharing Are The Primary User Mechanics

Commenting & Sharing Are The Primary User Mechanics

13/ The method of claim 9, wherein the propagating user interacts with the ad by adding a comment regarding the ad or explicitly specifying one or more users to receive the ad based on an interaction with the ad.

14

The Social Networks Tracks the Propagation of Ad Content

The Social Networks Tracks the Propagation of Ad Content

14/ The method of claim 1, further comprising obtaining by the server data related to propagation of the ad through the computer-implemented social network from the propagating user and each recipient user.

15

Metrcis for EAch Ad are Stored

Metrcis for EAch Ad are Stored

15/ The method of claim 14, wherein the propagation data includes information related to a number of users to view the ad, a number of users to interact with the ad, or a number of users to propagate the ad.

16

Content is Passed From Hotter to Colder Users > Influence Has Gravity

Content is Passed From Hotter to Colder Users > Influence Has Gravity

16/ The method of claim 1, wherein recursively propagating the ad through the computer-implemented social network further comprises determining the threshold by applying a heat diffusion model to the first influence score and the second influence score, the heat diffusion model determining a path by which the ad can propagate through the computer-implemented social network.

17

Influences Scores Are Calculated within Each User's Network

Influences Scores Are Calculated within Each User's Network

17/ A system for propagating an ad across users of a social network, comprising:
one or more servers comprising one or more processors that are programmed to provide:
an interface to the one or more of servers to receive information indicating activity levels of users of a social network or acquaintance relationships of the users on the social network;
a means for generating influence scores for the user based on the received information; and
a recursive propagation module to:
determine that a difference between a first influence score of a propagating user and a second influence score of a recipient user is greater than a threshold; and
recursively propagate, until an end condition is met, an ad through the social network between users having an acquaintance relationship by transmitting the ad from a propagating user to a recipient user, wherein the end condition comprises, for a particular propagating user, each candidate recipient user with an acquaintance relationship with the particular propagating user having either: i) an influence score that is greater than an influence score of the particular propagating user or ii) already received a transmission of the ad.

18

The System Begins Again with Each New Recipient

The System Begins Again with Each New Recipient

18/ The system of claim 17, wherein the recursive propagation module permits the recipient user to act as a second propagating user after the ad has been transmitted to the recipient user.

19

The System Terminates When Time, Volume, Connections or Influence Expires

The System Terminates When Time, Volume, Connections or Influence Expires

19/ The system of claim 17, wherein the propagation module terminates the recursive propagation of the ad through the social network.

20

More Detail on Influence Propagation and Cut off Thresholds of Declining Relative influence

More Detail on Influence Propagation and Cut off Thresholds of Declining Relative influence
  1. A computer-implemented method comprising:
  2. list text hereoutputting an ad to a first user of a computer-implemented social network, wherein outputting causes the ad to be displayed to the first user;
  3. list text herereceiving an input from the first user related to the ad;
  4. list text hereretrieving an influence score for the first user and influence scores for second users of the social network connected to the first user by an acquaintance relationship;
  5. list text heredetermine, by a processor, that a difference between the influence score of the first user and the influence scores of the second users is greater than a threshold;
  6. list text hererecursively propagating the ad through the computer-implemented social network to the second users until an end condition is met, wherein the end condition comprises, for a particular propagating user, each candidate recipient user with an acquaintance relationship with the particular propagating user having either:
  7. - list text herei) an influence score that is greater than an influence score of the particular propagating user or
  8. - ii) already received a transmission of the ad.
21

Scoring is Relative to Each User & Their Network

Scoring is Relative to Each User & Their Network

21/ The method of claim 20, further comprising generating the influence score for the first user and the influence scores of the second users of the computer-implemented social network connected to the first user by an acquaintance relationship.

22

Influence is not Just Connection by Social Engagement Propensity

Influence is not Just Connection by Social Engagement Propensity

22/ The method of claim 21, wherein generating an influence score for a user comprises calculating an amount of influence the user has over other users of the computer-implemented social network based on the user's acquaintance relationships and an activity level of the user on the computer-implemented social network.

23

Social Signals Are Required to Maintain Propagation (Driving up Ad Quality)

Social Signals Are Required to Maintain Propagation (Driving up Ad Quality)

23/ The method of claim 20, wherein the input from the first user comprises an indication the first user desires the ad to be propagated to the second users of the social network.