Levels of competency in an online community

• US 10,389,679 B2
• Filed: 10/04/2018
• Issued: 08/20/2019
• Est. Priority Date: 03/18/2016
• Status: Active Grant

• Current Assignee: Adobe Inc.
• Original Assignee: Adobe Inc.
• Inventors: Chhaya, Niyati, Byrum, Laurie M., Jhamtani, Harsh, Wong, Calvin K. C.
• Primary Examiner(s): Nguyen, Thanh T
• Application Number:
  US16/152,107
• Publication Number:
  US 20190036867A1
• Time in Patent Office: Days
• CPC Class Codes: H04L 51/216 Handling conversation history, e.g. grouping of messages in sessions or threads
• CPC Class Codes: H04L 51/52 for supporting social networking services
• CPC Class Codes: H04L 67/104 Peer-to-peer [P2P] networks
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

Techniques and systems are described to determine levels of competency of users as part of an online community and control generation of subsequent digital content to be used interaction of the online community with the users based on this determination. In one example, determination of the level of competency is based on relevance to topics of the online community. In another example, a determination is made as to whether the topic of the online community is stable before using user competency scores to control generation of subsequent digital content. In a further example, users of the online community are identified as exhibiting dormant or non-dormant behavior and used as a basis to control generation of subsequent digital content. In yet another example, user competency scores are adjusted based on a decay factor to address dormancy of users over a period of time.

Claims

1. In a digital medium environment of an online community, a method implemented by at least one computing device, the method comprising:

determining, by the at least one computing device, user competency scores defining levels of competency of users in relation to a topic of the online community;

generating, by the at least one computing device, a gradient by ordering the user competency scores;

identifying, by the at least one computing device, a change in a slope of the gradient over a threshold amount, the change in the slope of the gradient over the threshold amount indicative of which of the users of the online community are not dormant and which of the users of the online community are dormant;

controlling, by the at least one computing device, generation of digital content for use as part of interaction in the online community based on user competency scores for the users of the online community that are not dormant; and

determining a mean user competency score from the user competency scores for the users of the online community that are not dormant for identifying at least one user of the users of the online community that are not dormant as an expert in relation to the topic of the online community.

2. The method as described in claim 1, further comprising removing user competency scores for the users of the online community that are dormant.

3. The method as described in claim 2, further comprising determining an additional mean user competency score from the user competency scores for the users of the online community that are not dormant for identifying at least one user of the users of the online community that are not dormant as a non-expert in relation to the topic of the online community.

4. The method as described in claim 3, wherein the digital content includes a recommendation of other digital content for the at least one user of the users of the online community identified as the non-expert in relation to the topic of the online community.

5. The method as described in claim 1, wherein the digital content includes a recommendation of other digital content for the at least one user of the users of the online community identified as the expert in relation to the topic of the online community.

6. The method as described in claim 1, wherein the digital content includes a badge.

7. The method as described in claim 1, further comprising adjusting the user competency scores based on a dormancy of the users over a period of time.

8. In a digital medium environment of an online community, a system comprising:

a competency determination module implemented at least partially in hardware of a computing device to determine user competency scores defining levels of competency of users in relation to a topic of the online community;

a gradient determination module implemented at least partially in the hardware of the computing device to generate a gradient of the user competency scores;

a slope identification module implemented at least partially in the hardware of the computing device to identify a change in a slope of the gradient over a threshold amount, the change in the slope of the gradient over the threshold amount indicative of which of the users of the online community are not dormant and which of the users of the online community are dormant;

an interaction control module implemented at least partially in the hardware of the computing device to control generation of digital content for use as part of interaction in the online community based on user competency scores for the users of the online community that are not dormant; and

the competency determination module further implemented at least partially in the hardware of the computing device to determine a mean user competency score from the user competency scores for the users of the online community that are not dormant for identifying at least one user of the users of the online community that are not dormant as an expert in relation to the topic of the online community.

9. The system as described in claim 8, further comprising a dormant user identification module implemented to remove user competency scores for the users of the online community that are dormant.

10. The system as described in claim 9, wherein the competency determination module is implemented to determine an additional mean user competency score from the user competency scores for the users of the online community that are not dormant for identifying at least one user of the users of the online community that are not dormant as a non-expert in relation to the topic of the online community.

11. The system as described in claim 10, wherein the digital content includes a recommendation of other digital content for the at least one user of the users of the online community identified as the non-expert in relation to the topic of the online community.

12. The system as described in claim 8, wherein the digital content includes a recommendation of other digital content for the at least one user of the users of the online community identified as the expert in relation to the topic of the online community.

13. The system as described in claim 8, wherein the digital content includes badges that are indicative of successive levels of expertise in relation to the topic of the online community.

14. The system as described in claim 8, further comprising a decay factor determination module implemented to compute a decay factor that is usable to adjust the user competency scores.

15. In a digital medium environment of an online community, a system comprising:

means for determining user competency scores defining levels of competency of users in relation to a topic of the online community;

means for generating a gradient of the user competency scores;

means for identifying a change in a slope of the gradient over a threshold amount, the change in the slope of the gradient over the threshold amount indicative of which of the users of the online community are not dormant and which of the users of the online community are dormant;

means for removing user competency scores for the users of the online community that are dormant; and

means for determining a mean user competency score from the user competency scores for the users of the online community that are not dormant for identifying at least one user of the users of the online community that are not dormant as an expert in relation to the topic of the online community.

16. The system as described in claim 15, further comprising means for recommending digital content for the at least one user of the users of the online community identified as the expert in relation to the topic of the online community.

17. The system as described in claim 15, further comprising means for determining an additional mean user competency score from the user competency scores for the users of the online community that are not dormant for identifying at least one user of the users of the online community that are not dormant as a non-expert in relation to the topic of the online community.

18. The system as described in claim 17, further comprising means for recommending digital content for the at least one user of the users of the online community identified as the non-expert in relation to the topic of the online community.

19. The system as described in claim 18, wherein the digital content includes badges that are indicative of successive levels of expertise in relation to the topic of the online community.

20. The system as described in claim 15, further comprising means for adjusting the user competency scores based on a dormancy of the users over a period of time.