Automated generation of analytic and visual behavior

• US 9,171,272 B2
• Filed: 12/17/2010
• Issued: 10/27/2015
• Est. Priority Date: 12/17/2010
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Inventors: Mital, Vijay, Uritsky, Max, Poozhiyil, Suraj, Khosravy, Moe
• Primary Examiner(s): Hershley, Mark E
• Application Number:
  US12/971,725
• Publication Number:
  US 20120158754A1
• Time in Patent Office: 1,775 Days
• Field of Search: 707/754
• US Class Current: 1/1
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling

Abstract

A data marketplace infrastructure allows a data source company or a third party to automate generation of one or more applications in association a data feed. In contrast to custom, manual development of applications, the data marketplace infrastructure constructs applications that suggest applicability to the data feed. Factors suggesting applicability include without limitation similarity of data structures and similarity of subject matter. Based on an applicability determination, patterns of historical visual usage and patterns of historical business logic usage may be used to identify expressions specifying the visuals and business logic that may be copied to and used in a new application in association with the data feed. Furthermore, previewers can provide feedback to help tune which automatically generated applications are maintained in association with the data feed and which are discarded or altered in some way.

Claims

1. A method comprising:

providing a first data feed and a first plurality of applications associated with the first data feed;

obtaining a second data feed, wherein the first data feed is applicable to the second data feed according to an applicability criterion;

automatically;

extracting expressions from the first plurality of applications associated with the first data feed based on the applicability criterion relative to the second data feed; and

generating a plurality of new applications to evaluate data from the second data feed, wherein the plurality of new applications are generated based on the extracted expressions;

receiving a plurality of instances of feedback for the generated plurality of new applications from a plurality of users after interacting with the plurality of new generated applications using the data from the second data feed, each instance of the feedback indicating which of the generated plurality of new applications met one or more interests of a user in association with the second data feed; and

adjusting availability of the generated plurality of new applications based on a threshold number of the instances of feedback received from the plurality of users.

2. The method of claim 1 further comprising analyzing, automatically without any user intervention similarity of subject matter in the first data feed and subject matter in the second data feed, the analyzing determining applicability of the first data feed to the second data feed.

3. The method of claim 1 wherein the applicability criterion includes a similarity measure of data structure in the first data feed and data structure in the second data feed.

4. The method of claim 1 wherein the extracted expressions are identified based on their specification of a visual entity from one of the first plurality of applications.

5. The method of claim 1 wherein the extracted expressions are identified based on their specification of a business logic entity from one of the first plurality of applications.

6. The method of claim 1 wherein the adjusting operation comprises:

presenting, in response to accessing the second data feed, a list of the generated plurality of new applications to clients in a randomized order;

maintaining a generated new application as available to the clients for download and use, if each instance of the feedback in the threshold number of instances of feedback is positive, the generated new application being defined by inserting the extracted expressions into a business intelligence document associated with the second data feed.

7. The method of claim 1 wherein the adjusting operation comprises:

deleting ones of the generated plurality of new applications available to clients for download and use, if each instance of the feedback in the threshold number of instances of feedback is negative.

8. The method of claim 1 wherein the adjusting operation comprises:

identifying a generated new application for manual adjustment, if the plurality of instances of feedback are negative.

9. One or more computer-readable storage memory storing computer-executable instructions for executing on a computer system a computer process, wherein the computer-readable storage memory is an article of manufacture, the computer process comprising:

providing a first data feed and a first plurality of applications associated with the first data feed;

obtaining a second data feed;

automatically without user intervention;

determining applicability of the first data feed to the second data feed according to an applicability criterion;

extracting expressions from the first plurality of applications associated with the first data feed based on the applicability criterion relative to the second data feed, wherein the extracted expressions satisfy the applicability criterion relative to the second data feed; and

generating one or more new applications to evaluate data from the second data feed, wherein the one or more new applications include the extracted expressions, wherein the generated one or more new applications are executable at a user device allowing a user to interact with the data of the second data feed; and

adjusting availability of individual ones of the generated one or more new applications to a plurality of users based on a plurality of instances of feedback received from the plurality of users who used the generated one or more of the new applications in association with the second data feed, each instance of feedback indicating which of the generated one or more new applications met one or more interests of the user in association with the second data feed.

10. The one or more computer-readable storage memory of claim 9 wherein the applicability criterion includes a similarity measure of subject matter in the first data feed and subject matter in the second data feed.

11. The one or more computer-readable storage memory of claim 9 wherein the applicability criterion includes a similarity measure of data structure in the first data feed and data structure in the second data feed.

12. The one or more computer-readable storage memory of claim 9 wherein the extracted expressions are identified based on their specification of a visual entity from one of the first plurality of applications.

13. The one or more computer-readable storage memory of claim 9 wherein the extracted expressions are identified based on their specification of a business logic entity from one of the first plurality of applications.

14. The one or more computer-readable storage memory of claim 9 wherein the adjusting operation comprises:

maintaining a generated new application as available to clients for download and use, if the plurality of instances of feedback are positive.

15. The one or more computer-readable storage memory of claim 9 wherein the adjusting operation comprises:

deleting a generated new application from generated application options available to clients for download and use, if the plurality of instances of feedback are negative.

16. The one or more computer-readable storage memory of claim 9 wherein the adjusting operation comprises:

identifying a generated new application for manual adjustment, if the plurality of instances of feedback are negative.

17. A computer-implemented system comprising at least a processing unit and a system memory storing executable instructions, wherein the system is configured to provide automated generation of applications to evaluate data feeds, wherein the system further comprises:

a data feed behavior manager that provides a first plurality of applications associated with a first data feed, wherein the first data feed is applicable to a second data feed according to an applicability criterion;

an autogenerator engine that extracts expressions automatically from the first plurality of applications associated with the first data feed based on the applicability criterion relative to the second data feed, wherein the autogenerator engine generates one or more new applications to evaluate data from the second data feed, wherein the generated one or more new applications are automatically generated, without user interaction, based on the extracted expressions; and

a feedback manager that receives a plurality of instances of feedback for the individual ones of the generated one or more new applications from a portion of users who used the one or more of the generated new applications in association with the second data feed, each instance of feedback indicating which of the generated one or more new applications met one or more interests of a user in association with the second data feed, and

adjusts availability of the individual ones of the generated one or more new applications based on the plurality of instances of feedback.

18. The system of claim 17 wherein a profile for each of the automatically generated one or more new applications is created after receiving a statistically relevant number of feedback instances.

19. The system of claim 17 wherein the applicability criterion includes a similarity measure of data structure in the first data feed and data structure in the second data feed.

20. The system of claim 17 wherein the extracted expressions are identified based on their specification of at least one of a visual entity or a business logic entity from the first plurality of applications.