System and method of predicting community member responsiveness

US10535041B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10535041-B2
Application numberUS-201213533020-A
CountryUS
Kind codeB2
Filing dateJun 26, 2012
Priority dateJun 26, 2012
Publication dateJan 14, 2020
Grant dateJan 14, 2020

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

Disclosed herein is a mechanism, which may be in a community-driven system, to assist a user, or member of the community, to articulate a request, such as a question, that is likely to receive a response, e.g., an answer to a question posed, from the user community. A machine learning approach may be used to generate a model, which model may be trained using previously-posted requests, e.g., questions, and response, e.g., answers. The generated model may be used to make a prediction, e.g., to predict a potential number of answers for a given question, which prediction may also have an accompanying confidence score. A prediction generated by the model may be presented to the user as the user is providing the input, e.g., typing a question. Such prediction may be generated for a partial question, e.g., as the question is being typed, as well as a completed question.

First claim

Opening claim text (preview).

The invention claimed is: 1. A method comprising: receiving, via a community information sharing system server and a user interface, input from a user member of a community of users of a community-driven application used for online access to the community information sharing system, the input comprising at least a portion of a request, of the user for an answer, to be directed to the community of users; determining, via the community information sharing system server and using a prediction model, a probability of the user receiving an answer, from the community of users, to the request, probability determination being performed in response to receipt of the input comprising at least a portion of the request for an answer to be directed to the community of users, the prediction model using the input, received from the user and comprising at least a portion of the request for an answer, in determining the probability of the user receiving an answer; and providing, via the community information sharing system server and for display in the user interface, the determined probability of the user receiving an answer from the community of users to the request of the user for an answer, provision of the determined probability causing the determined probability to be displayed in the user interface as feedback to the user in response to the user's input received prior to receiving posting input to post the request from the user, the feedback further comprising a notification identifying at least a portion of the request determined to have a potential to reduce the probability of response by the community of users. 2. The method of claim 1 , wherein the feedback further comprises an estimated number of answers by the community of users. 3. The method of claim 1 , wherein the request for a response comprises a question, each response by a member of the user community comprises an answer to the question, and the determined probability is a probability that the community of users will respond with at least one answer to the question. 4. The method of claim 3 , wherein the feedback further comprises an estimated number of answers by the community of users. 5. The method of claim 1 , the providing the feedback to the user is responsive to at least a portion of the request entered by the user, and the feedback is provided prior to the user submitting the request for access by the community of users. 6. The method of claim 1 , the prediction model is generated using training data comprising information collected about past questions and corresponding answers and users providing the past questions and the corresponding answers. 7. The method of claim 1 , the notification comprising highlighting the at least a portion of the request determined to have a potential to reduce the probability of response by the community of users. 8. The method of claim 1 , the probability determination is made prior to receiving posting input to post the request from the user. 9. A community information sharing system server comprising: a processor and a non-transitory computer-readable storage medium for tangibly storing thereon program logic for execution by the processor, the stored program logic comprising: receiving logic executed by the processor for receiving input from a user member of a community of users of a community-driven application used for online access to the community information sharing system, the input comprising at least a portion of a request, of the user for an answer, to be directed to the community of users; determining logic executed by the processor for determining, using a prediction model, a probability of the user receiving an answer, from the community of users, to the request, probability determination being performed in response to receipt of the input comprising at least a portion of the request for an answer to be directed to the community of users, the prediction model using the input, received from the user and comprising at least a portion of the request for an answer, in determining the probability of the user receiving an answer; and providing logic executed by the one or more processors for providing, for display in the user interface, the determined probability of the user receiving an answer from the community of users to the request of the user for an answer, provision of the determined probability causing the determined probability to be displayed in the user interface as feedback to the user in response to the user's input received prior to receiving posting input to post the request from the user, the feedback further comprising a notification identifying at least a portion of the request determined to have a potential to reduce the probability of response by the community of users. 10. The server of claim 9 , wherein the feedback further comprises an estimated number of responses by the community of users. 11. The server of claim 9 , wherein the request for a response comprises a question, each response by a member of the user community comprises an answer to the question, and the determined probability is a probability that the community of users will respond with at least one answer to the question. 12. The server of claim 11 , wherein the feedback further comprises an estimated number of answers by the community of users. 13. The server of claim 9 , the providing the feedback to the user is responsive to at least a portion of the request entered by the user, and the feedback is provided prior to the user submitting the request for access by the community of users. 14. The server of claim 9 , the prediction model is generated using training data comprising information collected about past questions and corresponding answers and users providing the past questions and the corresponding answers. 15. The server of claim 9 , the notification comprising highlighting the at least a portion of the request determined to have a potential to reduce the probability of response by the community of users. 16. A computer readable non-transitory storage medium for tangibly storing thereon computer readable instructions, that when executed by a community information sharing system server, perform a function comprising: receiving input from a user member of a community of users of a community-driven application used for online access to the community information sharing system, the input comprising at least a portion of a request, of the user for an answer, to be directed to the community of users; determining, using a prediction model, a probability of the user receiving an answer, from the community of users to the request, probability determination being performed in response to receipt of the input comprising at least a portion of the request for an answer to be directed to the community of users, the prediction model using the input, received from the user and comprising at least a portion of the request for an answer, in determining the probability of the user receiving an answer; and providing, for display in the user interface, the determined probability of the user receiving an answer from the community of users to the request of the user for an answer, provision of the determined probability causing the determined probability to be displayed in the user interface as feedback to the user in response to the user's input received prior to receiving posting input to post the request from the user, the feedback further comprising a notification identifying at least a portion of the request determined to have a potential to reduce the probability of response by the community of users. 1

Assignees

Inventors

Classifications

  • G06Q10/10Primary

    Office automation; Time management · CPC title

  • Business processes related to social networking or social networking services · CPC title

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Frequently asked questions

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What does patent US10535041B2 cover?
Disclosed herein is a mechanism, which may be in a community-driven system, to assist a user, or member of the community, to articulate a request, such as a question, that is likely to receive a response, e.g., an answer to a question posed, from the user community. A machine learning approach may be used to generate a model, which model may be trained using previously-posted requests, e.g., qu…
Who is the assignee on this patent?
Maarek Yoelle, Dror Gideon, Szpektor Idan, and 2 more
What technology area does this patent fall under?
Primary CPC classification G06Q10/10. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jan 14 2020 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 2 related publications on this page (citations in our corpus or others sharing the same primary CPC).