Constraining ad service based on app content

• US 9,105,046 B1
• Filed: 08/05/2011
• Issued: 08/11/2015
• Est. Priority Date: 08/05/2011
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Rajkumar, Nareshkumar, Dias, Antonio Alvin Jose, Bridle, Nicholas S.
• Primary Examiner(s): Yi, David X
• Application Number:
  US13/204,339
• Time in Patent Office: 1,467 Days
• Field of Search: 709/203
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/0251 Targeted advertisements
• CPC Class Codes: G06Q 30/0267 Wireless devices
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46

Abstract

Application content information is obtained from a mobile device application server. An ad server log includes at least application identifiers for applications that have requested advertisements from an ad network. If identifying information included in the application content information is the same as an application identifier found in the ad server log, the application content information is analyzed to determine whether the corresponding mobile device application is appropriate to be served an advertisement, based on predetermined content criteria. An application registry includes a database of mobile device applications that are registered in the ad network. The application registry record for a mobile device application is updated to indicate the determined appropriateness of the mobile device application corresponding to the analyzed application content information.

Claims

1. A method comprising:

obtaining, from a mobile device application server, application content information that includes descriptive information and identifying information of a first mobile device application;

storing the application content information;

determining whether the identifying information of the first mobile device application corresponds to an application identifier found in ad request logs of an ad server;

determining via analysis of the application content information whether or not the first mobile device application is appropriate to be served an advertisement, based on predetermined content criteria; and

updating an app registry to indicate the determined appropriateness of the first mobile device application, the app registry including a database of mobile device applications registered in an ad network,

wherein the application content information analyzed includes text and pictorial information, the text information being analyzed for the existence, frequency, and/or context of predetermined terms, and the pictorial information being analyzed for the existence and context of predetermined attributes related to an associated content classification.

2. The method of claim 1, wherein the updating of the app registry updates for the first mobile device application an ad service status in the app registry.

3. The method of claim 2, wherein the ad service status is updated to designate that the first mobile device application cannot be sent advertisements from the ad server when the analysis determines that the first mobile device application is not appropriate to be served an advertisement.

4. The method of claim 3, wherein the first mobile device application is determined as not appropriate to be served an advertisement when the analysis determines that the first mobile device application includes adult content.

5. The method of claim 2, wherein the determining of appropriateness results in associating the application content information with one of one or more content classifications, and

the ad service status for the first mobile device application is updated based on the associated classification.

6. The method of claim 5, wherein the determination of appropriateness and the classification of the application content information are performed by an application classification controller comprising a processor configured to classify the content information.

7. The method of claim 5, wherein the associated content classification of the application content information is determined using statistical machine learning.

8. The method of claim 7, wherein the statistical machine learning includes supervised learning, unsupervised learning, reinforcement learning, or direct string matching.

9. The method of claim 1, wherein the mobile device application server provides mobile device applications for download to a mobile terminal device.

10. The method of claim 1, wherein the application content information of the first mobile device application includes a unique application identifier and text including one or more of:

a title, an application rating;

a category;

a text description, URL, developer information;

keywords; and

/or graphics.

11. A non-transitory computer readable medium which when executed by a computer performs the steps of claim 1.