Targeting Advertisements in a Social Network

• US 20100324990A1
• Filed: 08/09/2010
• Published: 12/23/2010
• Est. Priority Date: 08/20/2007
• Status: Abandoned Application

• Current Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Original Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Inventors: Moskalyuk, Oleksandr, Klots, Levy, D'Angelo, Adam, Agarwal, Aditya, Wong, Yishan, Juan, Yun-Fang, Jin, Kang-Xing
• Application Number:
  US12/853,242
• Publication Number:
  US 20100324990A1
• Time in Patent Office: Days
• US Class Current: 705/14.46
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0247 Calculate past, present or future revenues
• CPC Class Codes: G06Q 30/0251 Targeted advertisements
• CPC Class Codes: G06Q 30/0258 Registration
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 40/04 Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/029 Location-based management or tracking services

Abstract

A social networking website logs information about actions taken by members of the website. For a particular member of the website, the website presents targeted ads based on actions by the member and one or more characteristics of the member. The social networking website maintains a profile associated with the member which describes characteristics of the member, such as age, geographic location, employment, educational history and interests. The social networking website compares the member profile to targeting criteria for a plurality of advertising requests and determines the advertising requests that match the member profile and generate the most revenue for the social networking website. When presenting a member with an ad, the website may optimize advertising revenue by selecting an ad from the received ads that will maximize the expected value of the ad.

Claims

1. A method for selecting an advertisement to present by a social networking website, the method comprising:

receiving multiple advertisements for the social networking website, each advertisement associated with a set of targeting criteria that specify one or more interactions between a user and an object in the social networking website;

selecting one or more candidate advertisements for a user of the social networking website, wherein the user has performed the interactions specified by the targeting criteria of each of the selected candidate advertisements;

computing an affinity score between the user and each of the candidate advertisements;

receiving a bid amount associated with the advertisements;

selecting one or more of the candidate advertisements based on the affinity scores and the bid amounts associated with the candidate advertisements; and

presenting the selected advertisements on a web page delivered to the user.

2. The method of claim 1, wherein the bid amount for one or more of the advertisements represents an amount of compensation to be received by the website if the user takes a further action with respect to the advertisement.

3. The method of claim 2, wherein the further action comprises a user selection of a link on the advertisement.

4. The method of claim 1, wherein one or more of the advertisements communicate an action taken on the website by another user with whom the user has a connection

5. The method of claim 1, wherein selecting one or more of the advertisements based on the advertisements'"'"' affinity scores and bid amounts comprises:

calculating an expected value for each of the advertisements using the bid amount associated with each advertisement and a probability that the user will access the advertisement; and

selecting an advertisement having the maximum expected value.

6. The method of claim 1, wherein the one or more interactions specified by the targeting criteria for one or more of the advertisements comprise an action taken within the social network.

7. The method of claim 1, wherein the one or more interactions specified by the targeting criteria for one or more of the advertisements comprise an action taken on a third-party website and communicated to the social network.

8. The method of claim 1, wherein the one or more interactions specified by the targeting criteria for one or more of the advertisements comprise a transaction observed by an action terminal and communicated to the social network.

9. The method of claim 1, wherein the one or more interactions specified by the targeting criteria for one or more of the advertisements comprise an action selected from a group consisting of:

sending a message to another member of the social network, and adding a connection to another member of the social network.

10. The method of claim 1, wherein the one or more interactions specified by the targeting criteria for one or more of the advertisements comprise using an application in the social network.

11. The method of claim 1, wherein the one or more interactions specified by the targeting criteria for one or more of the advertisements comprise joining a group in the social network.

12. The method of claim 1, wherein the one or more interactions specified by the targeting criteria for one or more of the advertisements comprise adding an event to a member'"'"'s calendar.

13. The method of claim 1, wherein the one or more interactions specified by the targeting criteria for one or more of the advertisements comprise an action selected from a group consisting of:

purchasing a product or service, selling a product or service, reviewing a product or service, and using an online marketplace.

14. The method of claim 1, wherein the targeting criteria further comprise demographic data.

15. The method of claim 1, wherein selecting one or more of the candidate advertisements comprises:

determining a plurality of candidate advertisements for the member, wherein the targeting criteria of the advertisement request associated with each of the candidate advertisements matches one or more logged actions taken by the member;

calculating an expected revenue for each of the candidate advertisements based on the bid amount associated with the advertisement and a likelihood that the member with interact with the advertisement; and

selecting the candidate advertisement having the highest expected revenue value.