1. A method for generating a training model based on feedback, comprising: calculating an eigenvector of a sample among a plurality of samples; obtaining scores granted by at least one user for at least one of the plurality of samples in at least one round, comprising: obtaining scores granted by the at least one user for a first number of samples; obtaining scores granted by the at least one user for a second number of samples in response to having detected, based on the eigenvector, an inconsistency between the scores granted by the at least one user for the first number of samples; and generating a training model stored in non-transitory computer readable storage media based on the scores granted by the at least one user for the first and second numbers of samples.