Management of the execution of collaborative projects

• US 10,592,806 B1
• Filed: 12/16/2014
• Issued: 03/17/2020
• Est. Priority Date: 12/20/2013
• Status: Active Grant

• Current Assignee: Massachusetts Mutual Life Insurance Company
• Original Assignee: Massachusetts Mutual Life Insurance Company
• Inventors: Kannan, Gopika, Fabrizi, Jennifer, Polkowski, Robert
• Primary Examiner(s): Khuu, Hien D
• Application Number:
  US14/572,397
• Time in Patent Office: 1,918 Days
• Field of Search: 706 11
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation
• CPC Class Codes: G06Q 10/0631 Resource planning, allocation, distributing or scheduling for enterprises or organisations
• CPC Class Codes: G06Q 10/063112 Skill-based matching of a person or a group to a task
• CPC Class Codes: G06Q 10/0635 Risk analysis of enterprise or organisation activities
• CPC Class Codes: G06Q 10/0639 Performance analysis of employees; Performance analysis of enterprise or organisation operations
• CPC Class Codes: G06Q 10/103 Workflow collaboration or project management

Abstract

The present disclosure describes a system including a knowledge ecosystem of use in managing the execution of collaborative projects. In systems disclosed here, participants may receive suggested knowledge of use in one or more tasks related to their role in one or more projects. In systems disclosed here, participants in a knowledge ecosystem may be described using attributes, where the system may modify a set of attributes associated with a participant. The system may suggest one or more participants for one or more tasks in a project as well as collaboration with one or more other people with knowledge relevant to the project. Systems disclosed here may manage the execution of collaborative projects, where managing the execution may include characterizing knowledge and participants in an ecosystem, suggesting collaboration between participants in the ecosystem, and presenting relevant information in a timely manner to participants in the project.

Claims

1. A computer-implemented method comprising:

monitoring and collecting, by a server, a first set of data generated from a plurality of interactions between a plurality of users and a graphical user interface displayed on a plurality of computing devices operated by at least one user of the plurality of users;

receiving, by the server, a second set of data from a plurality of external sources comprising at least a social networking source, wherein the second set of data corresponds to social networking interactions of at least one user of the plurality of users;

storing, by the server, the first and the second sets of data in a database;

tagging and indexing, by the server, the first and the second sets of data within the database to identify a set of user attributes for each user from the plurality of users;

determining, by the server, a subset of the plurality of users by;

comparing, by the server, the set of user attributes for each user of the plurality of users against a set of one or more task attributes associated with a task, wherein the task is related to a project,

comparing, by the server, the set of user attributes for each user of the plurality of users against a set of one or more project team attributes that are associated with a project team working on the project, and

selecting, by the server, the subset of users based on each user having a pre-determined attribute;

instructing, by the server, a computing device of the plurality of computing devices to display on the graphical user interface, the subset of the plurality of users, wherein user attributes of each user of the subset of the plurality of users matches at least one attribute of associated with the task or the project team working on the project;

generating, by the server, a new graphical user interface configured for display on a plurality of computing devices corresponding to each user within the subset of the plurality of users, the new graphical user interface comprising;

a first graphical region displaying a status of the project,

a second graphical region displaying one or recommended users for the project, and

a third graphical region displaying one or more selectable graphical components representing one or more terms associated with the project, whereby when the user interacts with a selectable graphical component by clicking on the selectable graphical component, the server launches a display corresponding to a description of the one or more terms associated with the project in accordance with that user'"'"'s attributes while other selectable graphical components not clicked on by the user remain unlaunched, wherein the one or more selectable graphical components are unique to each user of the subset of the plurality of users.

2. The method according to claim 1, wherein the selection of the subset of the plurality of users is based on at least one of:

relevance to one or more subject matter, degree of creativity, legal requirements, frequency of use, ratings, related objects, and time-relevance.

3. The method according to claim 1, further comprising:

detecting, by the server, the task related to the project based on raw data generated by a user interaction with the graphical user interface.

4. The method according to claim 1, further comprising:

generating, by the server, a set of one or more vector representations associated with the one or more user attributes; and

determining, by the server, the selection of the plurality of users according to their respective one or more vector representations.

5. The method according to claim 2, further comprising:

automatically modifying, by the server, one or more user attributes stored in the database based on the data generated from a plurality of interactions between the plurality of users and the graphical user interface.

6. The method according to claim 2, further comprising:

suggesting, by the server, one or more users for one or more tasks in a project based on the associated one or more pre-determined user attributes.

7. The system according to claim 6, further comprising:

calculating, by the server, a match probability score based on a comparison of the one or more user attributes associated with a user against the one or more task attributes of the task.

8. The method according to claim 2, further comprising:

storing, by the server, in a desired attributes database one or more desired future attributes associated with a user received from the user interface; and

suggesting, by the server, the user based on the one or more desired attributes at a particular point in time.

9. A system comprising:

a server configured to;

collect a first set of data generated from a plurality of interactions between a plurality of users and a graphical user interface, wherein the graphical user interface is displayed by the server, on a plurality of computing devices operated by at least one user from the plurality of users, wherein the plurality of user interactions comprise social network chats associated with the plurality of users;

tag and index the data in a database generated from the plurality of interactions to identify attributes of the data;

transmit and store the tagged and indexed data generated from the plurality of interactions to the database;

receive a second set of data from a plurality of external sources comprising at least a social networking source, wherein the second set of data corresponds to at least one user of the plurality of users;

store the second set of data in the database;

determine a selection of the plurality of users by;

comparing the set of user attributes against a set of one or more task attributes associated with a task, wherein the task is related to a project,

comparing the set of user attributes against a set of one or more project team attributes that are associated with a project team working on the project, and

selecting the subset of users based on each user having a pre-determined attribute;

instruct, by the server, a computing device of the plurality of computing devices to display on the graphical user interface the selection of the plurality of users, wherein attributes of each of the users within the selection of plurality of users matches at least one attribute of associated with the task or the project team working on the project;

generate, by the server, a new graphical user interface configured for display on a plurality of computing devices corresponding to each user within the selection of the plurality of users, the new graphical user interface comprising;

a first graphical region displaying a status of the project,

a second graphical region displaying one or recommended users for the project, and

a third graphical region displaying one or more selectable graphical components representing one or more terms associated with the project, whereby when the user interacts with a selectable graphical component by clicking on the selectable graphical component, the server launches a display corresponding to a description of the one or more terms associated with the project in accordance with that user'"'"'s attributes while other selectable graphical components not clicked on by the user remain unlaunched, wherein the one or more selectable graphical components are unique to each user of the subset of the plurality of users.

10. The system according to claim 9, wherein the server is configured to automatically detects the task based on a user interaction with the graphical user interface.

11. The system according to claim 9, wherein the server is configured to compare one or more task attributes associated with the task with the user attributes of each user and suggests at least one user based on matching probabilities.

12. The system according to claim 11, wherein the server is configured to:

suggest one or more users based on a vector representation of the one or more user attributes associated with the plurality of users.

13. The method according to claim 9, wherein the selection of the subset of the plurality of users is based on at least one of:

relevance to one or more subject matter, degree of creativity, legal requirements, frequency of use, ratings, related objects, and time-relevance.

14. The system according to claim 9, wherein the database base stores one or more users attributes associated with one or more users from the selection of the plurality of users.

15. The system according to claim 14, wherein the server automatically updates one or more user attributes based on that user interacting with the user interface.

16. The system according to claim 14, further comprising:

a future attributes store storing one or more desired future attributes, wherein the server suggests one or more users associated with a set of desired user attributes at a predetermined time.

17. The system according to claim 14, wherein the selection of the plurality of users are selected based on at least one of behavior of a user in a previous task, user management of conflict, user management of risk, and user capability to obtain insight from other users.

18. The system according to claim 9, wherein the server calculates a score for each of the user attributes of each user based on matching probabilities to each of the task attributes.