Explanatory material generating method and recording medium
AssigneeFujitsu Limited
InventorsChunwei Ooi, Hiroaki Takebe
Life of this patent
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Abstract
An explanatory material generating method executed by a computer, includes: receiving personal information representing an attribute of a user; specifying for each of a plurality of factors included in a first causal graph, a weight corresponding to the attribute represented by the received personal information; and generating explanatory material of a causal relationship expressed in the first causal graph, based on the first causal graph and the specified weight of each factor, using a machine learning model configured to generate information for explaining a causal relationship expressed in an input causal graph.
Claims11
An explanatory material generating method executed by a computer, the method comprising:
- receiving personal information representing an attribute of a user;
- specifying for each of a plurality of factors included in a first causal graph, a weight corresponding to the attribute represented by the received personal information;
- and
- generating explanatory material of a causal relationship expressed in the first causal graph, based on the first causal graph and the specified weight of each factor, using a machine learning model configured to generate information for explaining a causal relationship expressed in an input causal graph.
A computer-readable recording medium storing therein a program for causing a computer to execute a process, the process comprising:
- receiving personal information representing an attribute of a user;
- specifying for each of a plurality of factors included in a first causal graph, a weight corresponding to the attribute represented by the received personal information;
- and
- generating explanatory material of a causal relationship expressed in the first causal graph, based on the first causal graph and the specified weight of each factor, using a machine learning model configured to generate information for explaining a causal relationship expressed in an input causal graph.
Dependencies are inferred from the claim text.