Self-learning automated information technology change risk prediction
US-2024414064-A1 · Dec 12, 2024 · US
US9977562B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9977562-B2 |
| Application number | US-201414313247-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 24, 2014 |
| Priority date | Jun 24, 2013 |
| Publication date | May 22, 2018 |
| Grant date | May 22, 2018 |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
System and method for facilitating an interactive engagement of a user with an online application is disclosed. The method comprises presenting one or more first questions, to the user, associated with the online application. For the one or more first questions, a first response is received from the user. The first response indicates behavioral characteristics of the user. The method comprises assigning a first engagement metric based on the first response. Further, one or more second questions are presented, to the user, associated with the online application. The one or more second questions are dynamically restructured based on the first engagement metric. The method comprises receiving a second response corresponding to the one or more second questions. The method further comprises modifying the first engagement metric into a second engagement metric based on the second response. The method further comprises calculating a score based on the second engagement metric.
Opening claim text (preview).
We claim: 1. A computer implemented method for facilitating an interactive engagement of a user with an online application, wherein the online application comprises a plurality of questions, the method comprising: presenting one or more first questions of the plurality of questions, to the user; receiving a first response, from the user, corresponding to the one or more first questions, wherein the first response indicates behavioural characteristics of the user; assigning a first engagement metric, of the user, based on the first response; calculating an abandonment metric for one or more second questions to determine incentives to the user such that the one or more second questions are positioned in an order based on a predetermined risk of abandonment of a question; presenting the one or more second questions, to the user, wherein the one or more second questions are dynamically restructured based on the first engagement metric and on the abandonment metric; receiving a second response, from the user, corresponding to the one or more second questions; modifying the first engagement metric into a second engagement metric based on the second response, wherein the second engagement is determined by calculating weighted average for each of the second response, and wherein based on the second engagement matric and rate of the second response received, the abandonment metric is dynamically generated for each of the second questions; calculating a score based on the second engagement metric; and presenting the score to the user, on a user interface, such that the interactive engagement of the user is enhanced during the interaction with the online application, wherein subsequent questions to the one or more second questions in the online application are dynamically restructured. 2. The method of claim 1 , further comprising presenting at least one of incentives and disincentives to the user based on the first engagement metric. 3. The method of claim 2 , wherein the score is further calculated based on the second engagement metric and at least one of the incentives and the disincentives. 4. The method of claim 1 , further comprising comparing the score with a peer score, wherein the peer score indicates a score corresponding to another user. 5. The method of claim 4 , further comprising displaying the score and the peer score on the user interface in an ascending order or in a descending order. 6. The method of claim 5 , wherein the score and the peer score is compared based on at least of: demography/location of the user, the first response, and the second response. 7. The method of claim 1 , wherein the first response and the second response are further received from another user via a social network. 8. The method of claim 1 , wherein the presentation further comprises displaying a status of the score on the user interface, to the user, in real-time, wherein the status indicate completeness of the online application. 9. The method of claim 1 , wherein the behavioural characteristics comprises at least one of: a level of personal details disclosure, participation of the user in a crowd source, use of a social network by the user for responding to the first question, an attention/confusion level of the user, navigation habits of the user on a user/client device. 10. The method of claim 1 , wherein the abandonment metric is calculated using at least one of: a machine learning technique and a data mining technique. 11. A system for facilitating an interactive engagement of a user with an online application, wherein the online application comprises a plurality of questions, the system comprising: a processor; and a memory coupled to the processor, wherein the processor executes a plurality of modules stored in the memory, and wherein the plurality of modules comprising: a first presenting module to present one or more first questions of the plurality of questions, to the user, associated with the online application; a first reception module to receive a first response, from the user, corresponding to the one or more first questions, wherein the first response indicates behavioural characteristics of the user; an assigning module to assign a first engagement metric, of the user, based on the first response; a second presenting module to calculate an abandonment metric for one or more second questions to determine incentives to the user such that the one or more second questions are positioned in an order based on a predetermined risk of abandonment of a question; present the one or more second questions, to the user, associated with the online application, wherein the one or more second questions are dynamically restructured based on the first response and on the abandonment metric; and a second reception module to receive a second response, from the user, corresponding to the one or more second questions; and an analysing module to: modify the first engagement metric into a second engagement metric based on the second response, wherein the second engagement is determined by calculating weighted average for each of the second response, and wherein based on the second engagement matric and rate of the second response received, the abandonment metric is dynamically generated for each of the second questions; calculate a score based on the second engagement metric; and present the score to the user, on a user interface, such that the interactive engagement of the user is enhanced during the interaction with the online application, wherein subsequent questions to the one or more second questions in the online application are dynamically restructured. 12. The system of claim 11 , wherein the second presenting module further presents at least one of incentives and disincentives to the user based on the first engagement metric. 13. The system of claim 12 , wherein the score is further calculated based on the second engagement metric and at least one of the incentives and the disincentives. 14. The system of claim 11 , wherein the analysing module further compares the score with a peer score, wherein the peer score indicates a score corresponding to another user. 15. The system of claim 14 , wherein the analysing module further displays the score and the peer score on the user interface in an ascending order or in a descending order. 16. The system of claim 11 , wherein the first response and the second response are further received from another user via a social network. 17. The system of claim 11 , wherein the analysing module further displays a status of the score on the user interface, to the user, in real-time, wherein the status indicate completeness of the online application. 18. The system of claim 11 , wherein the behavioural characteristics comprises at least one of: a level of personal details disclosure, participation of the user in a crowd source, use of a social network by the user for responding to the first question, an attention/confusion level of the user, navigation habits of the user on a user/client device. 19. The system of claim 11 , wherein the abandonment metric is calculated using at least one of: a machine learning technique and a data mining technique. 20. A non-transitory computer readable medium embodying a program executable in a computing device for facilitating an interactive engagement of a user with an online application, wherein the online application comprises a plurality of questions, the program comprising: a program code for presenting one or more first questions of the p
Office automation; Time management · CPC title
based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance · CPC title
Related publications grouped by family.
Answers are generated from the same data shown on this page.