Workflow to automatically generate reports for different component-level metadata after interacting with multiple web services
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.
1. A computer-implementable method for automatically generating reports from component-level metadata collected from a plurality of web sources within a component-level metadata collector and processing environment, the component-level metadata collector and processing environment comprising a component-level metadata collector and processing system, the plurality of web sources, a database of component-level metadata and an output optimizer user interface, comprising:
detecting a first set of user interactions with a first set of components at a first web source of the plurality of web sources and a second set of user interactions with a second set of components at a second web source of the plurality of web sources;
receiving, via the component-level metadata collector and processing system, 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;
storing the first and second sets of component-level data within the database of component-level metadata collected from a plurality of web sources;
parsing, via the component-level metadata collector and processing system, the first and second sets of component-level metadata stored within the database of component-level metadata to generate component-level metadata elements, the component-level metadata elements being stored in an associated table of component-level metadata elements, the associated table of component-level metadata elements comprising a web sources attribute portion, the web sources attribute portion identifying a web source and a component input string attribute portion, the component input string attribute portion identifying a component, the component corresponding to a product;
processing the component-level metadata to automatically generate a report via the component-level metadata collector and processing system, the component-level metadata collector and processing system executing on a hardware processor of the information handling system; and,
displaying the report via the output optimizer user interface, the output optimizer user interface executing on a hardware processor of a user device.
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 photographic image;
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 within a component-level metadata collector and processing environment, the component-level metadata collector and processing environment comprising a component-level metadata collector and processing system, the plurality of web sources, a database of component-level metadata and an output optimizer user interface, 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;
storing the first and second sets of component-level data within a database of component-level metadata collected from a plurality of web sources;
parsing the first and second sets of component-level metadata stored within the database of component-level metadata to generate component-level metadata elements, the component-level metadata elements being stored in an associated table of component-level metadata elements, the associated table of component-level metadata elements comprising a web sources attribute portion, the web sources attribute portion identifying a web source and a component input string attribute portion, the component input string attribute portion identifying a component, the component corresponding to a product; 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 for automatically generating reports from component-level metadata collected from a plurality of web sources within a component-level metadata collector and processing environment, the component-level metadata collector and processing environment comprising a component-level metadata collector and processing system, the plurality of web sources, a database of component-level metadata and an output optimizer user interface, 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;
storing the first and second sets of component-level data within a database of component-level metadata collected from a plurality of web sources;
parsing the first and second sets of component-level metadata stored within the database of component-level metadata to generate component-level metadata elements, the component-level metadata elements being stored in an associated table of component-level metadata elements, the associated table of component-level metadata elements comprising a web sources attribute portion, the web sources attribute portion identifying a web source and a component input string attribute portion, the component input string attribute portion identifying a component, the component corresponding to a product; 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.