Techniques for answering user questions based on user expertise level

Patent metadata

Field	Value
Publication number	US-2016180216-A1
Application number	US-201414572897-A
Country	US
Kind code	A1
Filing date	Dec 17, 2014
Priority date	Dec 17, 2014
Publication date	Jun 23, 2016
Grant date	—

Abstract

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.

First claim

1 .- 8 . (canceled)

9 . A computer program product for responding to user questions, the computer program product comprising:
a computer-readable storage device; and computer-readable program code embodied on the computer-readable storage device, wherein the computer-readable program code, when executed by a data processing system, causes the data processing system to: determine an expertise level of a user with a topic of a question presented by the user to the data processing system; and generate an answer to the question that is based on the expertise level of the user with the topic.

10 . The computer program product of claim 9 , wherein the computer-readable program code, when executed by the data processing system, further causes the data processing system to:
receive the question from the user; and apply natural language processing to the question to determine the topic of the question.

11 . The computer program product of claim 9 , wherein the computer-readable program code, when executed by the data processing system, further causes the data processing system to:
annotate information utilized in the answer with conditionality type descriptors.

12 . The computer program product of claim 11 , wherein the conditionality type descriptors include normal, mandatory, required, optional, explanatory, prerequisite, and basic.

13 . The computer program product of claim 11 , wherein the computer-readable program code, when executed by the data processing system, further causes the data processing system to:
adjust 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.

14 . The computer program product of claim 9 , wherein the computer-readable program code, when executed by the data processing system, further causes the data processing system to:
modify 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, and wherein the answer includes instruction steps for performing a task associated with the question.

15 . A data processing system, comprising:
a cache memory; and a processor coupled to the cache memory, wherein the processor is configured to:
determine an expertise level of a user with a topic of a question presented by the user to the data processing system; and
generate an answer to the question that is based on the expertise level of the user with the topic.

16 . The data processing system of claim 15 , wherein the processor is further configured to:
receive the question from the user; and apply natural language processing to the question to determine the topic of the question.

17 . The data processing system of claim 16 , wherein the processor is further configured to:
annotate information utilized in the answer with conditionality type descriptors.

18 . The data processing system of claim 17 , wherein the conditionality type descriptors include normal, mandatory, required, optional, explanatory, prerequisite, and basic.

19 . The data processing system of claim 17 , wherein the processor is further configured to:
adjust 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.

20 . The data processing system of claim 15 , wherein the processor is further configured to:
modify 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, and wherein the answer includes instruction steps for performing a task associated with the question.

Assignees

• IBM

Inventors

• Allen Corville O
• Altaf Faheem
• Clay Steven D
• Yan Shunguo

Classifications

• G06N5/04

  Inference or reasoning models · CPC title

• G06N5/02 Primary

  Knowledge representation; Symbolic representation · CPC title

• G06F16/2455

  Query execution · CPC title

• G06F16/334 Primary

  Query execution (filtering based on additional data G06F16/335) · CPC title

• G09B7/00

  Electrically-operated teaching apparatus or devices working with questions and answers (mechanically operated G09B3/00; computing arrangements G06F) · CPC title