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Input assisting method, non-transitory computer-readable recording medium and setup-information input system improves accuracy of settings value to be inputted in setting fields using a rule by using machine learning
Input assisting method, non-transitory computer-readable recording medium and setup-information input system improves accuracy of settings value to be inputted in setting fields using a rule by using machine learning
Provided are an input assisting method, a non-transitory computer-readable recording medium and a setup-information input system including an information input apparatus. A hardware processor of the apparatus determines at least one candidate value for at least one input field in a setup screen, by using a first data set created from a database of setting values specified for past jobs, creates a rule for the at least one candidate value, and calculates an evaluation value. On finding no candidate value for which a sufficient evaluation value was calculated, the hardware processor creates a second data set from the first data set, creates a rule for at least one candidate value determined for the at least one input field, by using the second data set, and when detecting an operator's operation on a certain input field, indicates a candidate value determined according to the rule, in the certain input field.
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