ENHANCED CONTENT INTEREST AND CONSUMPTION COMMUNITIES

• US 20170154317A1
• Filed: 11/30/2015
• Published: 06/01/2017
• Est. Priority Date: 11/30/2015
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Flores, Christina I., Flores, Romelia H., Rocco, Matthew M., Bruce, Edwin J.
• Granted Patent: US 10,621,556 B2
• Time in Patent Office: Days
• CPC Class Codes: G06Q 10/063114 Status monitoring or status determination for a person or group
• CPC Class Codes: G06Q 10/1097 Task assignment
• CPC Class Codes: G06Q 30/0261 based on user location
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 67/01 Protocols
• 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 desired completion time by which a plurality of users in a community are to have completed reading or viewing content can be scheduled within a scheduling system of a content interest system. For each of the plurality of users, a rate of progression of the user at reading or viewing the content can be monitored. Responsive to detecting that at least one of the plurality of users is not adequately progressing, at the rate of progression of the user, at reading or viewing the content to complete reading or viewing the content by the desired completion time, an alert can be presented to the user or an administrator indicating that the user is not adequately progressing at reading or viewing the content.

Claims

1. A method, comprising:

scheduling, within a scheduling system of a content interest system, a desired completion time by which a plurality of users in a community are to have completed reading or viewing content;

monitoring, using a processor, for each of the plurality of users, a rate of progression of the user at reading or viewing the content; and

responsive to detecting that at least one of the plurality of users is not adequately progressing, at the rate of progression of the user, at reading or viewing the content to complete reading or viewing the content by the desired completion time, presenting an alert to the user or an administrator indicating that the user is not adequately progressing at reading or viewing the content.

2. The method of claim 1, further comprising:

responsive to detecting that at least one of the plurality of users is not adequately progressing, at the rate of progression of the user, at reading or viewing the content to complete reading or viewing the content by the desired completion time, updating a targeted time of the user for reading or viewing a portion of the content.

3. The method of claim 1, further comprising:

responsive to detecting that at least one of the plurality of users is not adequately progressing, at the rate of progression of the user, at reading or viewing the content to complete reading or viewing the content by the desired completion time, updating the desired completion time.

4. The method of claim 1, further comprising:

receiving, from the plurality of users in the community, feedback pertaining to the content;

processing the feedback using natural language processing to identify feedback pertaining to the content that is positive feedback and feedback pertaining to the content that is negative feedback; and

responsive to identifying a first group of the users that provided the positive feedback and a second group of the users that provided the negative feedback, automatically providing a recommendation that the plurality of users in the community be split into at least two subgroups of the community, a first of the subgroups including the first group of the users that provided the positive feedback and a second of the subgroups including the second group of the users that provided the negative feedback.

5. The method of claim 1, further comprising:

detecting a process initiated by a new user to join the content interest system;

responsive to detecting the process being initiated, accessing from a social media system at least one comment posted by the new user in the social media system;

identifying at least one interest of the new user by processing the at least one comment using natural language processing;

responsive to identifying the at least one interest of the user, identifying a plurality of communities that correspond to the at least one interest; and

indicating to the new user the plurality of communities as communities recommended for the user to consider joining.

6. The method of claim 1, further comprising:

responsive to detecting that at least a first of the plurality of users is adequately progressing, at the rate of progression of the first user, at reading or viewing the content to complete reading or viewing the content by the desired completion time, awarding to at least one of the plurality of users in the community at least one reward point based on the rate of progression of the first user; and

presenting an award to the at least one of the plurality of users in the community based on the at least one reward point.

7. The method of claim 1, further comprising:

monitoring a present location of at least two of the plurality of users of the community; and

responsive to determining that the at least two of the plurality of users in the community are presently located within a pre-determined distance of each other, presenting respective alerts to the at least two of the plurality of users, each alert indicating that the at least two of the plurality of users in the community are presently located within the pre-determined distance of each other, indicating relevant content, and indicating a shared interest of the at least two of the plurality of users.

8. A system, comprising:

a processor programmed to initiate executable operations comprising;

scheduling, within a scheduling system of a content interest system, a desired completion time by which a plurality of users in a community are to have completed reading or viewing content;

monitoring, for each of the plurality of users, a rate of progression of the user at reading or viewing the content; and

responsive to detecting that at least one of the plurality of users is not adequately progressing, at the rate of progression of the user, at reading or viewing the content to complete reading or viewing the content by the desired completion time, presenting an alert to the user or an administrator indicating that the user is not adequately progressing at reading or viewing the content.

9. The system of claim 8, the executable operations further comprising:

responsive to detecting that at least one of the plurality of users is not adequately progressing, at the rate of progression of the user, at reading or viewing the content to complete reading or viewing the content by the desired completion time, updating a targeted time of the user for reading or viewing a portion of the content.

10. The system of claim 8, the executable operations further comprising:

responsive to detecting that at least one of the plurality of users is not adequately progressing, at the rate of progression of the user, at reading or viewing the content to complete reading or viewing the content by the desired completion time, updating the desired completion time.

11. The system of claim 8, the executable operations further comprising:

receiving, from the plurality of users in the community, feedback pertaining to the content;

processing the feedback using natural language processing to identify feedback pertaining to the content that is positive feedback and feedback pertaining to the content that is negative feedback; and

responsive to identifying a first group of the users that provided the positive feedback and a second group of the users that provided the negative feedback, automatically providing a recommendation that the plurality of users in the community be split into at least two subgroups of the community, a first of the subgroups including the first group of the users that provided the positive feedback and a second of the subgroups including the second group of the users that provided the negative feedback.

12. The system of claim 8, the executable operations further comprising:

detecting a process initiated by a new user to join the content interest system;

responsive to detecting the process being initiated, accessing from a social media system at least one comment posted by the new user in the social media system;

identifying at least one interest of the new user by processing the at least one comment using natural language processing;

responsive to identifying the at least one interest of the user, identifying a plurality of communities that correspond to the at least one interest; and

indicating to the new user the plurality of communities as communities recommended for the user to consider joining.

13. The system of claim 8, the executable operations further comprising:

responsive to detecting that at least a first of the plurality of users is adequately progressing, at the rate of progression of the first user, at reading or viewing the content to complete reading or viewing the content by the desired completion time, awarding to at least one of the plurality of users in the community at least one reward point based on the rate of progression of the first user; and

presenting an award to the at least one of the plurality of users in the community based on the at least one reward point.

14. The system of claim 8, the executable operations further comprising:

monitoring a present location of at least two of the plurality of users of the community; and

responsive to determining that the at least two of the plurality of users in the community are presently located within a pre-determined distance of each other, presenting respective alerts to the at least two of the plurality of users, each alert indicating that the at least two of the plurality of users in the community are presently located within the pre-determined distance of each other, indicating relevant content, and indicating a shared interest of the at least two of the plurality of users.

15. A computer program product comprising a computer readable storage medium having program code stored thereon, the program code executable by a processor to perform a method comprising:

scheduling, by the processor, within a scheduling system of a content interest system, a desired completion time by which a plurality of users in a community are to have completed reading or viewing content;

monitoring, by the processor, for each of the plurality of users, a rate of progression of the user at reading or viewing the content; and

responsive to detecting that at least one of the plurality of users is not adequately progressing, at the rate of progression of the user, at reading or viewing the content to complete reading or viewing the content by the desired completion time, presenting, by the processor, an alert to the user or an administrator indicating that the user is not adequately progressing at reading or viewing the content.

16. The computer program product of claim 15, the method further comprising:

responsive to detecting that at least one of the plurality of users is not adequately progressing, at the rate of progression of the user, at reading or viewing the content to complete reading or viewing the content by the desired completion time, updating a targeted time of the user for reading or viewing a portion of the content.

17. The computer program product of claim 15, the method further comprising:

responsive to detecting that at least one of the plurality of users is not adequately progressing, at the rate of progression of the user, at reading or viewing the content to complete reading or viewing the content by the desired completion time, updating the desired completion time.

18. The computer program product of claim 15, the method further comprising:

receiving, from the plurality of users in the community, feedback pertaining to the content;

processing the feedback using natural language processing to identify feedback pertaining to the content that is positive feedback and feedback pertaining to the content that is negative feedback; and

responsive to identifying a first group of the users that provided the positive feedback and a second group of the users that provided the negative feedback, automatically providing a recommendation that the plurality of users in the community be split into at least two subgroups of the community, a first of the subgroups including the first group of the users that provided the positive feedback and a second of the subgroups including the second group of the users that provided the negative feedback.

19. The computer program product of claim 15, the method further comprising:

detecting a process initiated by a new user to join the content interest system;

responsive to detecting the process being initiated, accessing from a social media system at least one comment posted by the new user in the social media system;

identifying at least one interest of the new user by processing the at least one comment using natural language processing;

responsive to identifying the at least one interest of the user, identifying a plurality of communities that correspond to the at least one interest; and

indicating to the new user the plurality of communities as communities recommended for the user to consider joining.

20. The computer program product of claim 15, the method further comprising:

responsive to detecting that at least a first of the plurality of users is adequately progressing, at the rate of progression of the first user, at reading or viewing the content to complete reading or viewing the content by the desired completion time, awarding to at least one of the plurality of users in the community at least one reward point based on the rate of progression of the first user; and

presenting an award to at least one of the plurality of users in the community based on the at least one reward point.