Patent ID: 8321412

Claim:
A digital data processing method for a retrieval system, the retrieval system comprising a processing unit, the digital data processing method comprising: detecting at least one feedback instruction by the processing unit, the feedback instruction comprising at least one feedback perception, the feedback perception indicating feedback from a user on one of a plurality of information pieces; for the feedback perception, determining a residual perception by the processing unit according to comparison between the feedback perception and a general perception of the corresponding information piece; training a personalized model by the processing unit according to at least one corresponding feature and the corresponding residual perception of the information piece on which the feedback perception is provided; determining a personal perception estimate of the information piece by the processing unit according to at least a generalized model and the personalized model trained by the processing unit; and providing an information retrieval service accordingly, wherein each personal perception estimate represents a subjective concept-based estimate of the user of the corresponding information piece; and wherein denoting the generalized model by M 1 (.)-Mu(.), an estimation result Yi* of a regression model M 1 (.)-Mu(.) can be expressed as Yi*=Yi 1 p−Yiup, wherein Yi 1 p and Yiup respectively indicates an estimation result of regression model M 1 (.)-Mu(.) based on a feature Xi of information pieces Si, wherein a general perception estimate generated by a generalized model can be regarded as the aggregation of opinions of users User 1 -Useru, and wherein the generalized model denotes a relationship between at least one corresponding feature and a plurality of corresponding predetermined perceptions of each of the information pieces.