1. A computer system, comprising: at least one processor; a memory coupled to the at least one processor; an answer sequence evaluation mechanism executed by one or more of the at least one processor, the one or more of the at least one processor configured to: receive a set of answer sequences including a first answer sequence having a first set of answers; identify a set of scores coupled with the first set of answers; identify a set of answer categories corresponding to the first set of answers of the first answer sequence; collect, for the set of answer categories corresponding to the first set of answers of the first answer sequence, context data indicating a relative importance of a first answer category of the set of answer categories to the first answer sequence; determine, based on a subject matter corresponding to the first answer sequence, a set of evaluation rules, wherein a first evaluation rule of the set of evaluation rules: assigns, based on the context data, a first weighting value to the first answer category of the set of answer categories; assigns, based on the context data, a second weighting value to a second answer category of the set of answer categories; and calculates, by a statistical algorithm using the first weighting value and the second weighting value, an aggregate score; receive, from a user, a first set of answer preference data indicating an inclination for the first answer category of the set of answer categories; increase, based on the first set of answer preference data, the first weighting value assigned to the first answer category; and generate, based on the set of scores and the set of evaluation rules, a sequence evaluation score for the first answer sequence, wherein generating the sequence evaluation score for the first answer sequence includes assigning, to the first answer sequence, the aggregate score as the sequence evaluation score.