Harvesting application metadata

• US 8,694,496 B2
• Filed: 02/26/2009
• Issued: 04/08/2014
• Est. Priority Date: 11/26/2008
• Status: Expired due to Fees

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Inventors: Erickson, Richard
• Primary Examiner(s): Ehichioya, Fred I
• Assistant Examiner(s): GORTAYO, DANGELINO N
• Application Number:
  US12/393,609
• Publication Number:
  US 20100131505A1
• Time in Patent Office: 1,867 Days
• Field of Search: 707/1, 707/2, 707/3, 707/4, 707/100, 707/104.1, 707/737, 707/749, 707/796, 707/732, 707/734, 707/784
• US Class Current: 707/732
• CPC Class Codes: G06F 16/335 Filtering based on additional data, e.g. user or group profiles filtering in web context G06F16/9535, G06F16/9536
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9538 Presentation of query results
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

A method for harvesting application metadata includes receiving metadata from a web application and storing the metadata to a metadata collection. The metadata indicates a characteristic of a web application user. The metadata collection identifies the user and may include metadata from other web applications. The advertisement is then characterized. For example, keywords may be associated with the advertisement. An affinity between the advertisement and the user is then determined and an indication of the affinity is recorded. When the affinity exceeds a predetermined threshold, the user may be identified as a potential target of the advertisement. The service provider may then identify the potential targets to the advertiser or provide the advertisement to the targets on behalf of the advertiser. The web application may be compensated for providing the metadata. The compensation may occur in response to the metadata resulting in identifying the user as a potential target.

Claims

1. A method for harvesting application metadata, the method comprising:

receiving metadata sent from a mobile wireless device to a metadata server, the metadata describing interactions by a user with one of multiple web applications executed by the mobile wireless device;

storing the metadata in a database in the metadata server;

associating the metadata to a user profile associated with the mobile wireless device, the user profile grouping the metadata according to a corresponding web application generating the metadata;

receiving a request for a target group from an advertiser, the request specifying advertising criteria;

querying the database for the advertising criteria;

retrieving a group of user profiles having the metadata that matches the advertising criteria;

generating a list of identifiers for the group of user profiles, each identifier in the list of identifiers corresponding to one user profile in the group of user profiles having the metadata that matches the advertising criteria;

sending the list of identifiers to the advertiser in response to the request for a target group;

charging a fee to the advertiser for the list of identifiers and for querying the database for the advertising criteria;

determining which ones of the multiple web applications generated the metadata matching the advertising criteria; and

sharing the fee with the ones of the multiple web applications generating the metadata matching the advertising criteria.

2. The method of claim 1, further comprising scoring a match between the metadata and the advertising criteria.

3. The method of claim 2, further comprising basing the fee on a magnitude of the scoring.

4. The method of claim 1, further comprising sending an advertisement to the list of identifiers.

5. The method of claim 1, further comprising specifying the metadata to match the advertising criteria.

6. The method of claim 1, further comprising sharing the fee according to a portion of the metadata generated by each one of the multiple web applications generating the metadata matching the advertising criteria.

7. The method of claim 1, further comprising determining a marketplace identifier associated with each identifier in the list of identifiers.

8. A computing device, comprising:

a processor; and

memory storing code that when executed cause the processor to perform operations, the operations comprising;

receiving metadata sent from a mobile wireless device to a metadata server, the metadata describing interactions by a user with one of multiple web applications executed by the mobile wireless device;

storing the metadata in a database in the metadata server;

associating the metadata to a user profile associated with the user mobile wireless device, the user profile grouping the metadata according to a corresponding web application generating the metadata;

receiving a request for a target group from an advertiser, the request specifying advertising criteria;

querying the database for the advertising criteria;

retrieving a group of user profiles having the metadata that matches the advertising criteria;

generating a list of identifiers for the group of user profiles, each identifier in the list of identifiers corresponding to one user profile in the group of user profiles having the metadata that matches the advertising criteria;

sending the list of identifiers to the advertiser in response to the request for a target group;

charging a fee to the advertiser for the list of identifiers and for querying the database for the advertising criteria;

determining which ones of the multiple web applications generated the metadata matching the advertising criteria; and

sharing the fee with the ones of the multiple web applications generating the metadata matching the advertising criteria.

9. The computing device of claim 8, wherein the operations further comprise scoring a match between the metadata and the advertising criteria.

10. The computing device of claim 9, wherein the operations further comprise charging the fee based at least in part on a magnitude of the scoring.

11. The computing device of claim 8, wherein the operations further comprise sharing the fee according to a portion of the metadata generated by each one of the multiple web applications generating the metadata matching the advertising criteria.

12. The computing device of claim 8, wherein the operations further comprise specifying the metadata to match the advertising criteria.

13. A non-transitory computer readable memory storing instructions that when executed cause a processor to perform operations, the operations comprising:

receiving metadata sent from a mobile wireless device to a metadata server, the metadata describing interactions by a user with one of multiple web applications executed by the mobile wireless device;

storing the metadata in a database in the metadata server;

associating the metadata to a user profile associated with the user mobile wireless device, the user profile grouping the metadata according to a corresponding web application generating the metadata;

receiving a request for a target group from an advertiser, the request specifying advertising criteria;

querying the database for the advertising criteria;

retrieving a group of user profiles having the metadata that matches the advertising criteria;

generating a list of identifiers for the group of user profiles, each identifier in the list of identifiers corresponding to one user profile in the group of user profiles having the metadata that matches the advertising criteria;

sending the list of identifiers to the advertiser in response to the request for a target group;

charging a fee to the advertiser for the list of identifiers and for querying the database for the advertising criteria;

determining which ones of the multiple web applications generated the metadata matching the advertising criteria; and

sharing the fee with the ones of the multiple web applications generating the metadata matching the advertising criteria.