Proxy Analytics

• US 20140245337A1
• Filed: 07/27/2011
• Published: 08/28/2014
• Est. Priority Date: 07/27/2011
• Status: Abandoned Application

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Gildfind, Andrew, Rowe, Simon M.
• Application Number:
  US13/191,860
• Publication Number:
  US 20140245337A1
• Time in Patent Office: Days
• US Class Current: 725/16
• CPC Class Codes: H04H 60/31 Arrangements for monitoring the use made of the broadcast services
• CPC Class Codes: H04H 60/32 Arrangements for monitoring conditions of receiving stations, e.g. malfunction or breakdown of receiving stations
• CPC Class Codes: H04N 21/25891 being end-user preferences retrieval of video data in a video database based on user preferences G06F16/739; arrangements for recognizing users' preferences H04H60/46; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/44224 Monitoring of user activity on external systems, e.g. Internet browsing

Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for analyzing behavioral data. In one aspect, a method includes receiving a request for television reporting sample data from a client device. The request includes filtering criteria. The television reporting data comprises channel tune event data and viewership data. In response to receiving the request, processing the television reporting data to identify filtered data from the television reporting data satisfying the filtering criteria; processing the filtered data to generate filtered sample data; and associating the filtered sample data with channel tune event data and viewership data to generate the television reporting sample data. The method also includes providing the television reporting sample data to the client device and receiving processing parameters from the client device, and, in response to receiving the processing parameters, processing the filtered data based on the processing parameters to generate reporting data metric results.

Claims

1. A computer-implemented method, comprising:

receiving, at one or more processors, a request for television reporting sample data from a client device of an advertiser, wherein the request includes filtering criteria and the television reporting sample data is a subset of television reporting data, the television reporting data comprising channel tune event data specifying channel tune states of viewing devices at certain times and viewership data specifying viewership characteristics associated with the viewing devices;

in response to receiving the request;

processing the television reporting data to identify filtered data from the television reporting data satisfying the filtering criteria;

processing the filtered data to generate filtered sample data, wherein the filtered sample data is a statistically representative sample of the filtered data;

associating the filtered sample data with channel tune event data and viewership data related to the filtered sample data to generate the television reporting sample data;

providing the television reporting sample data to the client device;

receiving, at the one or more processors, processing parameters from the client device, wherein the processing parameters define one or more operations performed on the television reporting sample data at the client device; and

in response to receiving the processing parameters, processing the filtered data based on the processing parameters to generate reporting data metric results.

2. The method of claim 1, wherein the processing parameters comprise unique identifiers of a subset of the viewing devices;

and

processing the filtered data based on the processing parameters comprises processing only the filtered data corresponding to the unique identifiers.

3. The method of claim 1, wherein the filtering criteria comprise sample data preferences specifying a preferred data subset of the channel tune data and the viewership data;

and

associating the filtered sample data with channel tune event data and viewership data related to the filtered sample data comprises associating the filtered sample data with only the preferred data subset.

4. The method of claim 1, further comprising:

generating confidence data specifying a measure of a statistical validity of the filtered sample data with respect to the filtered data; and

providing the confidence data to the client device.

5. The method of claim 4, further comprising:

receiving indication data specifying that the measure of statistical validity is not within a threshold range; and

in response to receiving the indication data, processing the filtered data to generate filtered sample data comprises processing the filtered data to generate second filtered sample data having more data than the filtered sample data.

6. The method of claim 1, wherein the one or more operations of the processing parameters specify database query instructions, and receiving the processing parameters comprises receiving the database query instructions in a first query language, the method further comprising:

translating the database query instructions in the first query language to database query instructions in a second query language.

7. A computer-implemented method, comprising:

generating a request for television reporting sample data at a client device of an advertiser, wherein the request includes filtering criteria and the television reporting sample data is a subset of television reporting data, the television reporting data comprising channel tune event data specifying channel tune states of viewing devices at certain times and viewership data specifying viewership characteristics associated with the viewing devices;

providing the request for the television reporting sample data to an analytics system, wherein the filtering criteria are useable by the analytics system to process the television reporting data to generate the television reporting sample data;

receiving the television reporting sample data from the analytics system;

determining processing parameters at the client device that define one or more operations performed on the television reporting sample data by the client device;

providing the processing parameters to the analytics system, wherein the processing parameters are usable by the analytics system to process the television reporting data based on the one or more operations; and

receiving results data at the client device from the analytics system, the results data specify results from processing the television reporting data based on the one or more operations.

8. The method of claim 7, further comprising:

accessing user data at the client device, wherein the user data is different from the television reporting data;

aggregating the user data and the television reporting sample data at the client device;

identifying at the client device viewing device identifier data specifying unique identifiers of a subset of viewing devices specified in the aggregated user and television reporting sample data; and

providing the viewing device identifier data to the analytics system, wherein the viewing device identifier data is usable by the analytics system to generate results data related to only the viewing devices specified in the viewing device identifier data.

9. The method of claim 7, wherein the analytics system is a web based analytics system.

10. A system comprising:

a data processing apparatus; and

software stored on a computer storage apparatus and comprising instructions executable by the data processing apparatus and upon such execution cause the data processing apparatus to perform operations comprising;

receiving a request for television reporting sample data from a client device of an advertiser, wherein the request includes filtering criteria and the television reporting sample data is a subset of television reporting data, the television reporting data comprising channel tune event data specifying channel tune states of viewing devices at certain times and viewership data specifying viewership characteristics associated with the viewing devices;

in response to receiving the request;

processing the television reporting data to identify filtered data from the television reporting data satisfying the filtering criteria;

processing the filtered data to generate filtered sample data, wherein the filtered sample data is a statistically representative sample of the filtered data;

associating the filtered sample data with channel tune event data and viewership data related to the filtered sample data to generate the television reporting sample data;

providing the television reporting sample data to the client device;

receiving processing parameters from the client device, wherein the processing parameters define one or more operations performed on the television reporting sample data at the client device; and

in response to receiving the processing parameters, processing the filtered data based on the processing parameters to generate reporting data metric results.

11. The system of claim 10, wherein the processing parameters comprise unique identifiers of a subset of the viewing devices;

and

processing the filtered data based on the processing parameters comprises processing only the filtered data corresponding to the unique identifiers.

12. The system of claim 10, wherein the filtering criteria comprise sample data preferences specifying a preferred data subset of the channel tune data and the viewership data;

and

associating the filtered sample data with channel tune event data and viewership data related to the filtered sample data comprises associating the filtered sample data with only the preferred data subset.

13. The system of claim 10, wherein upon execution of the instructions the data processing apparatus further performs operations comprising:

generating confidence data specifying a measure of a statistical validity of the filtered sample data with respect to the filtered data; and

providing the confidence data to the client device.

14. The system of claim 13, wherein upon execution of the instructions the data processing apparatus further performs operations comprising:

receiving indication data specifying that the measure of statistical validity is not within a threshold range; and

in response to receiving the indication data, processing the filtered data to generate filtered sample data comprises processing the filtered data to generate second filtered sample data having more data than the filtered sample data.

15. A non-transitory computer storage medium encoded with a computer program, the program comprising instructions that when executed by a data processing apparatus cause the data processing apparatus to perform operations, comprising:

receiving a request for television reporting sample data from a client device of an advertiser, wherein the request includes filtering criteria and the television reporting sample data is a subset of television reporting data, the television reporting data comprising channel tune event data specifying channel tune states of viewing devices at certain times and viewership data specifying viewership characteristics associated with the viewing devices;

in response to receiving the request;

processing the television reporting data to identify filtered data from the television reporting data satisfying the filtering criteria;

processing the filtered data to generate filtered sample data, wherein the filtered sample data is a statistically representative sample of the filtered data;

associating the filtered sample data with channel tune event data and viewership data related to the filtered sample data to generate the television reporting sample data;

providing the television reporting sample data to the client device;

receiving processing parameters from the client device, wherein the processing parameters define one or more operations performed on the television reporting sample data at the client device; and

in response to receiving the processing parameters, processing the filtered data based on the processing parameters to generate reporting data metric results.

16. The non-transitory computer storage medium of claim 15, wherein the processing parameters comprise unique identifiers of a subset of the viewing devices;

and processing the filtered data based on the processing parameters comprises processing only the filtered data corresponding to the unique identifiers.

17. The non-transitory computer storage medium of claim 15, wherein the filtering criteria comprise sample data preferences specifying a preferred data subset of the channel tune data and the viewership data;

and

associating the filtered sample data with channel tune event data and viewership data related to the filtered sample data comprises associating the filtered sample data with only the preferred data subset.

18. The non-transitory computer storage medium of claim 15, wherein the program further comprises instructions that when executed by the data processing apparatus cause the data processing apparatus to perform operations, comprising:

generating confidence data specifying a measure of a statistical validity of the filtered sample data with respect to the filtered data; and

providing the confidence data to the client device.

19. A system comprising:

a data processing apparatus; and

software stored on a computer storage apparatus and comprising instructions executable by the data processing apparatus and upon such execution cause the data processing apparatus to perform operations comprising;

generating a request for television reporting sample data at a client device of an advertiser, wherein the request includes filtering criteria and the television reporting sample data is a subset of television reporting data, the television reporting data comprising channel tune event data specifying channel tune states of viewing devices at certain times and viewership data specifying viewership characteristics associated with the viewing devices;

providing the request for the television reporting sample data to an analytics system, wherein the filtering criteria are useable by the analytics system to process the television reporting data to generate the television reporting sample data;

receiving the television reporting sample data from the analytics system;

determining processing parameters at the client device that define one or more operations performed on the television reporting sample data by the client device;

providing the processing parameters to the analytics system, wherein the processing parameters are usable by the analytics system to process the television reporting data based on the one or more operations; and

receiving results data at the client device from the analytics system, the results data specify results from processing the television reporting data based on the one or more operations.

20. The system of claim 19, wherein upon execution of the instructions the data processing apparatus further performs operations comprising:

accessing user data at the client device, wherein the user data is different from the television reporting data;

aggregating the user data and the television reporting sample data at the client device;

identifying at the client device viewing device identifier data specifying unique identifiers of a subset of viewing devices specified in the aggregated user and television reporting sample data; and

providing the viewing device identifier data to the analytics system, wherein the viewing device identifier data is usable by the analytics system to generate results data related to only the viewing devices specified in the viewing device identifier data.