Method for Recommending Content to Ingest as Corpora Based on Interaction History in Natural Language Question and Answering Systems
1 Assignment
0 Petitions
Accused Products
Abstract
An approach is provided for generating actionable content ingestion recommendations based on an interaction history that is mined to extract interaction context parameters from questions and answer results that meet specified answer deficiency criteria by searching one or more content sources using the extracted interaction context parameters to identify new content that is relevant to improving the first answer, and then presenting the new content in an actionable content ingestion recommendation list for display and review by a domain expert, where the actionable content ingestion recommendation fist recommends the new content for ingestion in a knowledge base corpus.
18 Citations
21 Claims
-
1-11. -11. (canceled)
-
12. An information handling system comprising:
-
one or more processors; a memory coupled to at least one of the processors; a set of instructions stored in the memory and executed by at least one of the processors to generate actionable content ingestion recommendations, wherein the set of instructions perform actions of; mining, by the system, an interaction history comprising a plurality of questions and answer results for a plurality of users to extract interaction context parameters for at least a first answer that meets specified answer deficiency criteria; searching, by the system, one or more content sources using the extracted interaction context parameters along with multi-factorial variable or attributes about the users to identify new content that is relevant to improving the first answer or adding new answers to a candidate answer list; and presenting, by the system, an actionable content ingestion recommendation for display and review by a domain expert, where the actionable content ingestion recommendation lists the new content for ingestion in a knowledge base corpus. - View Dependent Claims (13, 14, 15, 16)
-
-
17. A computer program product stored in a computer readable storage medium, comprising computer instructions that, when executed by an information handling system, causes the system to generate actionable content ingestion recommendations by performing actions comprising:
-
mining, by the system, an interaction history comprising a plurality of questions and answer results for a plurality of users to extract interaction context parameters for at least a first answer that meets specified answer deficiency criteria; searching, by the system, one or more content sources using the extracted interaction context parameters along with multi-factorial variable or attributes about the users to identify new content that is relevant to improving the first answer or adding new answers to a candidate answer list; and presenting, by the system, an actionable content ingestion recommendation for display and review by a domain expert, where the actionable content ingestion recommendation lists the new content for ingestion in a knowledge base corpus. - View Dependent Claims (18, 19, 20, 21)
-
Specification