Workflow to Automatically Generate Reports for Different Component-Level Metadata After Interacting with Multiple Web Services

• US 20160198010A1
• Filed: 01/02/2015
• Published: 07/07/2016
• Est. Priority Date: 01/02/2015
• Status: Active Grant

• Current Assignee: Dell Products LP (Dell Technologies Inc.)
• Original Assignee: Dell Products LP (Dell Technologies Inc.)
• Inventors: Kanagowder, Kavitha, Roy, Mainak
• Granted Patent: US 10,567,522 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: H04L 43/045 for graphical visualisation of monitoring data
• CPC Class Codes: H04L 43/062 related to network traffic
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

A system, method, and computer-readable medium are disclosed for automatically generating reports from component-level metadata collected from multiple web sources. A predetermined set of web sources are respectively monitored to detect user interactions with one or more predetermined components. Component-level metadata associated with such user interactions is then respectively collected from each web source and parsed to generate component-level metadata elements. The component-level metadata elements are then used to automatically generate reports on the user interactions with the predetermined components at multiple web sources.

Claims

1. A computer-implementable method for automatically generating reports from component-level metadata collected from a plurality of web sources, comprising:

detecting a first set of user interactions with a first set of components at a first web source and a second set of user interactions with a second set of components at a second web source;

receiving a first set of component-level metadata associated with the first set of user interactions and second set of component-level data associated with the second set of user interactions;

parsing the first and second sets of component-level metadata to generate component-level metadata elements; and

processing the component-level metadata to automatically generate a report.

2. The method of claim 1, wherein the automatically generated report comprises data related to the first and second sets of user interactions with the first and second sets of components at the first and second web sources.

3. The method of claim 2, wherein the automatically generated report comprises data related to a third set of user interactions with a subset of the first set of components and a fourth set of user interactions with a subset of the second set of components.

4. The method of claim 1, wherein each of the first and second sets of components comprises at least one member of the set of:

an article;

a white paper;

an announcement;

a user posting;

a blog;

a video file;

an executable code;

a binary file;

a text data; and

a database element.

5. The method of claim 1, wherein each of the first and second sets of component-level metadata comprises data related to the first and second sets of user interactions with at least one member of the set of:

a file name;

a file identifier;

a page tab;

an icon;

a Uniform Resource Locator (URL);

an object; and

a social media command button.

6. The method of claim 1, wherein the automatically generated report is displayed within a user interface window of a user device.

7. A system comprising:

a processor;

a data bus coupled to the processor; and

a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations for automatically generating reports from component-level metadata collected from a plurality of web sources and comprising instructions executable by the processor and configured for;

detecting a first set of user interactions with a first set of components at a first web source and a second set of user interactions with a second set of components at a second web source;

receiving a first set of component-level metadata associated with the first set of user interactions and second set of component-level data associated with the second set of user interactions;

parsing the first and second sets of component-level metadata to generate component-level metadata elements; and

processing the component-level metadata to automatically generate a report.

8. The system of claim 7, wherein the automatically generated report comprises data related to the first and second sets of user interactions with the first and second sets of components at the first and second web sources.

9. The system of claim 8, wherein the automatically generated report comprises data related to a third set of user interactions with a subset of the first set of components and a fourth set of user interactions with a subset of the second set of components.

10. The system of claim 7, wherein each of the first and second sets of components comprises at least one member of the set of:

an article;

a white paper;

an announcement;

a user posting;

a blog;

a photographic image;

a video file;

an executable code;

a binary file;

a text data; and

a database element.

11. The system of claim 7, wherein each of the first and second sets of component-level metadata comprises data related to the first and second sets of user interactions with at least one member of the set of:

a file name;

a file identifier;

a page tab;

an icon;

a Uniform Resource Locator URL);

an object; and

a social media command button.

12. The system of claim 7, wherein the automatically generated report is displayed within a user interface window of a user device.

13. A non-transitory, computer-readable storage medium embodying computer program code, the computer program code comprising computer executable instructions configured for:

detecting a first set of user interactions with a first set of components at a first web source and a second set of user interactions with a second set of components at a second web source;

receiving a first set of component-level metadata associated with the first set of user interactions and second set of component-level data associated with the second set of user interactions;

parsing the first and second sets of component-level metadata to generate component-level metadata elements; and

processing the component-level metadata to automatically generate a report.

14. The non-transitory, computer-readable storage medium of claim 13, wherein the automatically generated report comprises data related to the first and second sets of user interactions with the first and second sets of components at the first and second web sources.

15. The non-transitory, computer-readable storage medium of claim 14, wherein the automatically generated report comprises data related to a third set of user interactions with a subset of the first set of components and a fourth set of user interactions with a subset of the second set of components.

16. The non-transitory, computer-readable storage medium of claim 13, wherein each of the first and second sets of components comprises at least one member of the set of:

an article;

a white paper;

an announcement;

a user posting;

a blog;

a photographic image;

a video file;

an executable code;

a binary file;

a text data; and

a database element.

17. The non-transitory, computer-readable storage medium of claim 13, wherein each of the first and second sets of component-level metadata comprises data related to the first and second sets of user interactions with at least one member of the set of:

a file name;

a file identifier;

a page tab;

an icon;

a Uniform Resource Locator (URL);

an object; and

a social media command button.

18. The non-transitory, computer-readable storage medium of claim 13, wherein the automatically generated report is displayed within a user interface window of a user device.