Systems and methods of patternizing logged user-initiated events for scheduling functions

• US 10,417,613 B1
• Filed: 03/17/2015
• Issued: 09/17/2019
• Est. Priority Date: 03/17/2015
• Status: Active Grant

• Current Assignee: Quest Software, Inc.
• Original Assignee: Quest Software, Inc.
• Inventors: Brisebois, Michel Albert, Polikarpov, Artem Nikolaevich, Johnstone, Curtis T.
• Primary Examiner(s): Dickerson, Tiphany B
• Application Number:
  US14/660,697
• Time in Patent Office: 1,645 Days
• CPC Class Codes: G06F 16/909 using geographical or spatial information, e.g. location spatiotemporally dependent retrieval from the web G06F16/9537
• CPC Class Codes: G06F 21/552 involving long-term monitoring or reporting
• CPC Class Codes: G06F 21/554 involving event detection and direct action
• CPC Class Codes: G06F 21/6245 Protecting personal data, e.g. for financial or medical purposes
• CPC Class Codes: G06F 2221/2141 Access rights, e.g. capability lists, access control lists, access tables, access matrices
• CPC Class Codes: G06N 5/047 Pattern matching networks; Rete networks
• CPC Class Codes: G06N 7/01 Probabilistic graphical models, e.g. probabilistic networks
• CPC Class Codes: G06Q 10/1095 Meeting or appointment

Abstract

In one embodiment, a method includes selecting a set of logged user-initiated events of a user. The method further includes determining timing information, device-identification information, and user-location information for the set of logged user-initiated events. In addition, the method includes correlating the set of logged user-initiated events to recurring time intervals of a time map. Also, the method includes determining an overall density, a location-specific density, and a device-specific density of the set of logged user-initiated events for at least some recurring time intervals of the time map. Furthermore, the method includes generating a time-based activity pattern of the user, the time-based activity pattern comprising, for the at least some recurring time intervals of the time map, information related to the overall density, the location-specific density, and the device-specific density. In addition, the method includes publishing the time-based activity pattern to a scheduling interface.

Claims

1. A method comprising, by a computer system:

accessing data from a plurality of data sources in a plurality of data formats;

abstracting the data into a standardized format for further analysis, the abstracting comprising selecting the standardized format based on a type of the data;

selecting, from the abstracted data, a set of logged user-initiated events of a particular user that were previously executed on a computing platform from a plurality of locations using a plurality of different devices;

determining timing information, device-identification information, and user-location information for the set of logged user-initiated events on a per-event basis;

correlating the set of logged user-initiated events to recurring time intervals of a time map on a per-event basis;

determining an overall density of the set of logged user-initiated events of the particular user for at least some recurring time intervals of the time map;

determining a location-specific density of the set of logged user-initiated events of the particular user for at least some recurring time intervals of the time map, wherein the determining of the location-specific density is based, at least in part, on the user-location information;

determining a device-specific density of the set of logged user-initiated events of the particular user for at least some recurring time intervals of the time map, wherein the determining of the device-specific density is based, at least in part, on the device-identification information;

generating a time-based activity pattern of the particular user, the time-based activity pattern comprising, for the at least some recurring time intervals of the time map, information related to the overall density, the location-specific density, and the device-specific density;

receiving a request to provide a suggested communications platform for a virtual meeting with the particular user based on one or more event constraints, wherein the one or more event constraints comprise a particular time interval, and wherein the one or more event constraints is operable to be correlated to the time map;

determining a communications platform for the virtual meeting based, at least in part, on an analysis of the time-based activity pattern of the particular user and the one or more event constraints, the determining of the communications platform comprising;

determining, for the particular time interval, a highest event density of a user device based, at least in part, on the device-specific density; and

responsive to the determination, applying device-specific configuration criteria to select the communications platform;

responsive to the determination of the communications platform, facilitating scheduling of the virtual meeting on the communications platform; and

executing the virtual meeting on the communications platform during the particular time interval.

2. The method of claim 1, wherein a greater density of user-initiated events is interpreted to mean a greater degree of meeting availability of the user.

3. The method of claim 1, comprising:

receiving a request to identify suggested meeting time intervals in relation to the user;

retrieving the time-based activity pattern of the user;

identifying based, at least in part, on the time-based activity pattern, one or more recurring time intervals of the time map that each have a comparatively high event density; and

publishing information related to the one or more recurring time intervals as the suggested meeting time intervals.

4. The method of claim 1, comprising:

receiving a request to generate comparative availability information of the user; and

retrieving the time-based activity pattern of the user;

determining based, at least in part, on the time-based activity pattern, event densities of at least selected recurring time intervals of the time map; and

publishing information related to the event densities as the comparative availability information.

5. The method of claim 1, comprising:

receiving a request to evaluate an availability of the user for a proposed meeting time interval;

correlating the meeting time interval to at least one recurring time interval of the time map;

retrieving the time-based activity pattern;

determining based, at least in part, on the time-based activity pattern, event densities of at least selected recurring time intervals of the time map, the selected recurring time intervals comprising the at least one recurring time interval to which the meeting time interval is correlated;

computing an availability evaluation of the user for the proposed meeting time interval based, at least in part, on the event densities; and

publishing information related to the availability evaluation to a requestor.

6. The method of claim 1, comprising:

receiving a request to identify a subject-matter expert for a meeting;

determining at least one subject-matter expert for a topic of the meeting; and

publishing information related to the at least one subject-matter expert to a requestor.

7. The method of claim 1, comprising:

receiving a request to identify a suggested meeting location in relation to the user;

retrieving the time-based activity pattern;

identifying, from the time-based activity pattern, one or more locations identifying, from the time-based activity pattern, one or more locations that each have a comparatively high event density; and

publishing information related to the one or more locations to a requestor.

8. The method of claim 1, comprising:

receiving a request to generate comparative location-availability information for the user;

retrieving the time-based activity pattern of the user;

determining, from the time-based activity pattern, event densities of one or more locations; and

publishing information related to the event densities as the comparative location-availability information.

9. The method of claim 1, comprising:

receiving a request to provide suggested meeting resources, the request comprising a plurality of constraints;

wherein the plurality of constraints comprise one or more desired meeting resources and a number of meeting participants;

querying a meeting analytics system for one or more collections of meeting resources that satisfy the plurality of constraints;

sorting one or more meeting-resource options by cost; and

publishing a result of the sorting to a requestor.

10. The method of claim 1, comprising:

facilitating scheduling of a meeting comprising a plurality of meeting participants; and

allowing the plurality of meeting participants to provide a least one affinity indication relative to the meeting.

11. An information handling system comprising:

at least one processor, wherein the at least one processor is operable to implement a method, the method comprising;

accessing data from a plurality of data sources in a plurality of data formats;

abstracting the data into a standardized format for further analysis, the abstracting comprising selecting the standardized format based on a type of the data;

selecting, from the abstracted data, a set of logged user-initiated events of a particular user that were previously executed on a computing platform from a plurality of locations using a plurality of different devices;

determining timing information, device-identification information, and user-location information for the set of logged user-initiated events on a per-event basis;

correlating the set of logged user-initiated events to recurring time intervals of a time map on a per-event basis;

determining an overall density of the set of logged user-initiated events of the particular user for at least some recurring time intervals of the time map;

determining a location-specific density of the set of logged user-initiated events of the particular user for at least some recurring time intervals of the time map, wherein the determining of the location-specific density is based, at least in part, on the user-location information;

determining a device-specific density of the set of logged user-initiated events of the particular user for at least some recurring time intervals of the time map, wherein the determining of the device-specific density is based, at least in part, on the device-identification information;

generating a time-based activity pattern of the particular user, the time-based activity pattern comprising, for the at least some recurring time intervals of the time map, information related to the overall density, the location-specific density, and the device-specific density;

receiving a request to provide a suggested communications platform for a virtual meeting with the particular user based on one or more event constraints, wherein the one or more event constraints comprise a particular time interval, and wherein the one or more event constraints is operable to be correlated to the time map;

determining a communications platform for the virtual meeting based, at least in part, on an analysis of the time-based activity pattern of the particular user and the one or more event constraints, the determining of the communications platform comprising;

determining, for the particular time interval, a highest event density of a user device based, at least in part, on the device-specific density; and

responsive to the determination, applying device-specific configuration criteria to select the communications platform;

responsive to the determination of the communications platform, facilitating scheduling of the virtual meeting on the communications platform; and

executing the virtual meeting on the communications platform during the particular time interval.

12. The information handling system of claim 11, wherein a greater density of user-initiated events is interpreted to mean a greater degree of meeting availability of the user.

13. The information handling system of claim 11, the method comprising:

receiving a request to identify suggested meeting time intervals in relation to the user;

retrieving the time-based activity pattern of the user;

identifying based, at least in part, on the time-based activity pattern, one or more recurring time intervals of the time map that each have a comparatively high event density; and

publishing information related to the one or more recurring time intervals as the suggested meeting time intervals.

14. The information handling system of claim 11, the method comprising:

receiving a request to generate comparative availability information of the user; and

retrieving the time-based activity pattern of the user;

determining based, at least in part, on the time-based activity pattern, event densities of at least selected recurring time intervals of the time map; and

publishing information related to the event densities as the comparative availability information.

15. The information handling system of claim 11, the method comprising:

receiving a request to evaluate an availability of the user for a proposed meeting time interval;

correlating the meeting time interval to at least one recurring time interval of the time map;

retrieving the time-based activity pattern;

determining based, at least in part, on the time-based activity pattern, event densities of at least selected recurring time intervals of the time map, the selected recurring time intervals comprising the at least one recurring time interval to which the meeting time interval is correlated;

computing an availability evaluation of the user for the proposed meeting time interval based, at least in part, on the event densities; and

publishing information related to the availability evaluation to a requestor.

16. The information handling system of claim 11, the method comprising:

receiving a request to identify a subject-matter expert for a meeting;

determining at least one subject-matter expert for a topic of the meeting; and

publishing information related to the at least one subject-matter expert to a requestor.

17. The information handling system of claim 11, the method comprising:

receiving a request to identify a suggested meeting location in relation to the user;

retrieving the time-based activity pattern;

identifying, from the time-based activity pattern, one or more locations

identifying, from the time-based activity pattern, one or more locations that each have a comparatively high event density; and

publishing information related to the one or more locations to a requestor.

18. The information handling system of claim 11, the method comprising:

receiving a request to generate comparative location-availability information for the user;

retrieving the time-based activity pattern of the user;

determining, from the time-based activity pattern, event densities of one or more locations; and

publishing information related to the event densities as the comparative location-availability information.

19. A computer-program product comprising a non-transitory computer-usable medium having computer-readable program code embodied therein, the computer-readable program code adapted to be executed to implement a method comprising:

accessing data from a plurality of data sources in a plurality of data formats;

abstracting the data into a standardized format for further analysis, the abstracting comprising selecting the standardized format based on a type of the data;

selecting, from the abstracted data, a set of logged user-initiated events of a particular user that were previously executed on a computing platform from a plurality of locations using a plurality of different devices;

determining timing information, device-identification information, and user-location information for the set of logged user-initiated events on a per-event basis;

correlating the set of logged user-initiated events to recurring time intervals of a time map on a per-event basis;

determining an overall density of the set of logged user-initiated events of the particular user for at least some recurring time intervals of the time map;

determining a location-specific density of the set of logged user-initiated events of the particular user for at least some recurring time intervals of the time map, wherein the determining of the location-specific density is based, at least in part, on the user-location information;

determining a device-specific density of the set of logged user-initiated events of the particular user for at least some recurring time intervals of the time map, wherein the determining of the device-specific density is based, at least in part, on the device-identification information;

generating a time-based activity pattern of the particular user, the time-based activity pattern comprising, for the at least some recurring time intervals of the time map, information related to the overall density, the location-specific density, and the device-specific density;

receiving a request to provide a suggested communications platform for a virtual meeting with the particular user based on one or more event constraints, wherein the one or more event constraints comprise a particular time interval, and wherein the one or more event constraints is operable to be correlated to the time map;

determining a communications platform for the virtual meeting based, at least in part, on an analysis of the time-based activity pattern of the particular user and the one or more event constraints, the determining of the communications platform comprising;

determining, for the particular time interval, a highest event density of a user device based, at least in part, on the device-specific density; and

responsive to the determination, applying device-specific configuration criteria to select the communications platform;

responsive to the determination of the communications platform, facilitating scheduling of the virtual meeting on the communications platform; and

executing the virtual meeting on the communications platform during the particular time interval.