Generation of advertising targeting information based upon affinity information obtained from an online social network

• US 9,135,666 B2
• Filed: 11/06/2013
• Issued: 09/15/2015
• Est. Priority Date: 10/19/2010
• Status: Active Grant

• Current Assignee: Citizennet Inc. (Advance Publications Incorporated)
• Original Assignee: Citizennet Inc. (Advance Publications Incorporated)
• Inventors: Benyamin, Daniel, Chu, Aaron, Pollock, Alex, Hall, Michael Aaron, Blackwell, Arshavir
• Primary Examiner(s): Weiss, John G
• Assistant Examiner(s): Anderson, Scott C
• Application Number:
  US14/073,555
• Publication Number:
  US 20140089084A1
• Time in Patent Office: 678 Days
• Field of Search: 705/14.54
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/0246 Traffic
• CPC Class Codes: G06Q 30/0256 User search
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

Systems and methods for automatically generating targeting information for presentation of an offer in accordance with embodiments of the invention are disclosed. One embodiment includes indexing member profiles within one or more social networks for affinity to keywords using a targeting system that retrieves data concerning member profiles and activities from servers within an online social network, identifying member profiles that have affinity for at least one offer keyword using the targeting system and the index, identifying additional keywords for which the identified member profiles have affinity using the targeting system and the index, determining a set of keywords that target a desired audience based upon the identified additional keywords using the targeting server, and targeting presentation of advertisements for the specific offer to members of an online social network using the online social network and the targeting keywords determined by the targeting server.

Claims

1. A targeting system comprising:

a targeting server comprising a processor and a memory storing a database;

wherein the targeting server;

obtains data from at least one server that forms part of an online social network, where the obtained data describes member profiles of members of the online social network and activities performed on the online social network that are associated with the member profiles;

detects affinity data describing affinities between a member profile and one or more keywords based upon data describing activities associated with the member profile;

generates a database containing the member profiles and the affinity data associating the detected affinities between member profiles and keywords;

identifies member profile data describing member profiles within the database that are associated with an affinity to at least one offer keyword;

identifies targeting keywords based on the at least one offer keywords and the member profile data by identifying at least one additional keyword within the at least one offer keyword based on the affinity of the member profiles within the member profile data;

identifies other keywords for which the identified member profiles have an associated affinity;

selects a set of keywords including at least one of the identified keywords and at least one of the targeting keywords as targeting keywords for the specific offer, where the selected keywords target the desired audience for the specific offer;

generates a set of targeting keywords that target a specific offer to a desired audience based on the selected set of keywords; and

provides the set of targeting keywords.

2. The targeting system of claim 1, wherein the targeting server provides the targeting keywords to a server that is part of the online social network so that the online social network displays the specific offer to members of the online social network targeted using the targeting keywords.

3. The targeting system of claim 1, wherein the targeting server scores the affinity between a member profile and one or more keywords within data describing an activity associated with the member profile.

4. The targeting system of claim 3, wherein the targeting server determines sentiment related to one or more keywords within data describing an activity associated with a member profile.

5. The targeting system of claim 3, wherein the targeting server determines intent related to one or more keywords within data describing an activity associated with a member profile.

6. The targeting system of claim 1, wherein the targeting server selects a set of keywords by clustering the member profiles identified as having associations with an affinity to at least one offer keyword.

7. The targeting system of claim 6, wherein the targeting server assigns a feature vector to each of the identified keywords and to estimate the performance of the feature vector in targeting the specific offer to the desired audience.

8. The targeting system of claim 7, wherein the feature vector of a keyword includes at least one value indicative of a relationship between the keyword and at least one of the offer keywords.

9. The targeting system of claim 7, wherein the feature vector of a keyword includes at least one value indicative a relationship between the keyword and at least one cluster of member profiles.

10. The targeting system of claim 6, wherein the targeting server estimates the performance of the feature vector in targeting the specific offer to the desired audience using a classifier.

11. The targeting system of claim 6, wherein the targeting server estimates performance by estimating the click-through rate of advertising targeted using the keyword.

12. The targeting system of claim 1, wherein the targeting server selects a set of targeting keyword and demographic information combinations.

13. The targeting system of claim 1, wherein the targeting server selects a set of optimal targeting keywords using set completion.

14. The targeting system of claim 1, wherein the set of targeting keywords is provided to an online social networking server.

15. The targeting system of claim 1, wherein the set of targeting keywords is provided to an advertiser system.

16. A method of generating a set of targeting keywords for targeting a specific offer, comprising:

obtaining data from at least one server that forms part of an online social network using a targeting system, where the obtained data describes member profiles of members of the online social network and activities performed on the online social network that are associated with the member profiles;

detecting affinity data describing affinities between a member profile and one or more keywords based upon data describing activities associated with the member profile;

identifying member profiles within the obtained data that have affinity for at least one offer keyword using the targeting system;

identifying targeting keywords based on the at least one offer keywords and the member profile data by identifying at least one additional keyword within the at least one offer keyword based on the affinity of the member profiles within the member profile data using the targeting system;

identifying additional keywords for which the identified member profiles have affinity based on the targeting keywords using the targeting system;

determining a set of keywords that target a desired audience based upon the identified additional keywords and the offer keywords using the targeting server;

generating a set of targeting keywords that target a specific offer to a desired audience based on the selected set of keywords using the targeting system; and

providing the set of targeting keywords using the targeting system.

17. The method of claim 16, further comprising targeting presentation of advertisements for the specific offer to members of an online social network using the online social network and the targeting keywords determined by the targeting server.