Ranking users based on contextual factors
US-9396236-B1 · Jul 19, 2016 · US
US2016203215A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016203215-A1 |
| Application number | US-201615080247-A |
| Country | US |
| Kind code | A1 |
| Filing date | Mar 24, 2016 |
| Priority date | Dec 17, 2014 |
| Publication date | Jul 14, 2016 |
| Grant date | — |
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A technique for responding to user input includes determining an expertise level of a user with a topic of a question presented by the user to a data processing system. The data processing system generates an answer to the question that is based on the expertise level of the user with the topic.
Opening claim text (preview).
What is claimed is: 1 . A method for responding to user input, comprising: determining, by a data processing system, an expertise level of a user with a topic of a question presented by the user to the data processing system; and generating, by the data processing system, an answer to the question that is based on the expertise level of the user with the topic. 2 . The method of claim 1 , further comprising: receiving, by the data processing system, the question from the user; and applying, by the data processing system, natural language processing to the question to determine the topic of the question. 3 . The method of claim 1 , further comprising: annotating information utilized in the answer with conditionality type descriptors. 4 . The method of claim 3 , wherein the conditionality type descriptors include normal, mandatory, required, optional, explanatory, prerequisite, and basic. 5 . The method of claim 3 , further comprising: adjusting selected ones of the conditionality type descriptors and/or an expertise level for an instruction step or sub-step in the annotated information based on feedback from the user. 6 . The method of claim 1 , further comprising: modifying the expertise level of the user based on feedback received from the user, wherein the feedback is based on one or more of the user expanding instruction steps in the answer that are at a lower expertise level than currently assigned to the user, a query language utilized by the user in the question, a profile of the user, online activities of the user, and a query history of the user with the data processing system. 7 . The method of claim 1 , wherein the answer includes instruction steps for performing a task associated with the question. 8 . The method of claim 1 , wherein the expertise level is selected from one of novice, intermediate, and expert.
Query execution (filtering based on additional data G06F16/335) · CPC title
Query execution · CPC title
of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student · CPC title
Knowledge engineering; Knowledge acquisition · CPC title
Processing or translation of natural language (natural language analysis G06F40/20; semantic analysis G06F40/30) · CPC title
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