Advertisement impressions of recommender for network diffusion

Patent metadata

Field	Value
Publication number	US-2016140601-A1
Application number	US-201414542020-A
Country	US
Kind code	A1
Filing date	Nov 14, 2014
Priority date	Nov 14, 2014
Publication date	May 19, 2016
Grant date	—

Abstract

Embodiments of the invention are directed to a system, method, or computer program product for providing advertisements to recommenders for network diffusion to a cluster or group of individuals associated with the recommender. In this way, advertisement effectiveness may be identified by presented to a single customer or recommender, and that recommender diffusion the advertisement data across his/her cluster of friends. In this way, the invention provides a means of delivering advertisements to appropriate recommenders for diffusion throughout a group of individuals. A network and recommender may be identified based on diffusion using transaction history, coincident mapping, and/or social network information. In this way, it is appreciated that there may be a greater advertisement value to present the advertisement to the recommender then allowing the advertisement to diffuse through the cluster.

First claim

What is claimed is:

1 . A system for advertisement diffusion presentment, the system comprising:
a memory device with non-transitory computer-readable program code stored thereon; a communication device; a processing device operatively coupled to the memory device and the communication device, wherein the processing device is configured to execute the computer-readable program code to:
identify a network of individuals, wherein the network of individuals have a common interest in a product category;
identify one or more individuals as recommenders within the network of individuals, wherein the recommender is identified as having influence over one or more clusters of individuals in the network for the product category;
receive advertisements for the product category;
match one or more of the received advertisements to a recommender based at least in part on the influence of the recommenders for the product category of the one or more of the received advertisements;
present the advertisement to the recommender and not to the cluster;
receive transaction data associated with transactions completed by the recommender and the cluster;
match the merchant, product, and/or service of the one or more advertisements presented to the recommender to transactions completed by the cluster; and
provide advertising effectiveness data for advertisement diffusion through the network, based on the match.

2 . The system of claim 1 , wherein the operation to identify the network of individuals, including identifying the recommender and the cluster further comprise using transaction history, coincident mapping, or social network mapping to identify the network of individuals, wherein transaction history identifies similar transactions for a category of products, coincided mapping maps likely association of individuals based on a category of products, and social networking mapping identifies a network of individuals associated with each other.

3 . The system of claim 1 further comprises determining the recommender's influence on the network based on a number of individuals identified in the cluster around the recommender and the recommender's experience with products of the category of products.

4 . The system of claim 1 , wherein the operation to receive advertisements for the product category further comprises determining a potential value for indirect presentation effectiveness of the advertisements based at least in part on advertisement contents, wherein advertisement contents comprises a simplicity of advertisement, such that the recommender can communicate contents of the advertisement to the network.

5 . The system of claim 1 , wherein the operation to match the merchant, product, and/or service of the one or more advertisements presented to the recommender to transactions completed by the cluster further comprises identifying perfect matches and imperfect matches, wherein perfect matches are a same merchant, product, and/or service associated with a transaction of the network and the advertisement viewed by the recommender and imperfect matches are a similar merchant, product, and/or service of a customer transaction and the at least one advertisement viewed by the recommender.

6 . The system of claim 1 , wherein the operation to match the merchant, product, and/or service of the one or more advertisements presented to the recommender to transactions completed by the cluster further identifies diffusion of the advertisement from the recommender to the cluster based on only the recommender viewing the advertisement.

7 . The system of claim 1 , wherein the operation to provide advertising effectiveness data for advertisement diffusion through the network further comprises providing a confidence associated with a success of the at least one advertisement diffusion through the network based on a likelihood that the at least one advertisement was viewed by the recommender, a perfect or imperfect match of products of the at least one advertisement viewed by the recommender and the transactions of the cluster, and a time frame between the at least one advertisement for the product viewed by the recommender and the transaction for the product by the cluster for the product of the advertisement viewed by the recommender.

8 . A computer program product for advertisement diffusion, the computer program product comprising at least one non-transitory computer-readable medium having computer-readable program code portions embodied therein, the computer-readable program code portions comprising:
an executable portion configured for identifying a network of individuals, wherein the network of individuals have a common interest in a product category; an executable portion configured for identifying one or more individuals as recommenders within the network of individuals, wherein the recommender is identified as having influence over one or more clusters of individuals in the network for the product category; an executable portion configured for receiving advertisements for the product category; an executable portion configured for matching one or more of the received advertisements to a recommender based at least in part on the influence of the recommenders for the product category of the one or more of the received advertisements; an executable portion configured for presenting the advertisement to the recommender and not to the cluster; an executable portion configured for receiving transaction data associated with transactions completed by the recommender and the cluster; an executable portion configured for matching the merchant, product, and/or service of the one or more advertisements presented to the recommender to transactions completed by the cluster; and an executable portion configured for providing advertising effectiveness data for advertisement diffusion through the network, based on the match.

9 . The computer program product of claim 8 , wherein identifying the network of individuals, including identifying the recommender and the cluster further comprise using transaction history, coincident mapping, or social network mapping to identify the network of individuals, wherein transaction history identifies similar transactions for a category of products, coincided mapping maps likely association of individuals based on a category of products, and social networking mapping identifies a network of individuals associated with each other.

10 . The computer program product of claim 8 , further comprising an executable portion configured for determining the recommender's influence on the network based on a number of individuals identified in the cluster around the recommender and the recommender's experience with products of the category of products.

11 . The computer program product of claim 8 , wherein receiving advertisements for the product category further comprises determining a potential value for indirect presentation effectiveness of the advertisements based at least in part on advertisement contents, wherein advertisement contents comprises a simplicity of advertisement, such that the recommender can communicate contents of the advertisement to the network.

12 . The computer program product of claim 8 , wherein matching the merchant, product, and/or service of the one or more advertisements presented to the recommender to transactions completed by the cluster further comprises identifying perfect matches and imperfect matches, wherein perfect matches are a same merchant, product, and/or service associated with a transaction of the network and the advertisement viewed by the recommender and imperfect matches are a similar merchant, product, and/or service o

Assignees

• Bank Of America

Inventors

• Blackhurst Jason P
• Shahda Frederick A
• Abbott Robert L
• Hamilton Alfred

Classifications

• G06Q30/0244 Primary

  Optimization · CPC title