FIELD: information technology.
SUBSTANCE: method is carried out by extracting the training selection, consisting of the training objects plurality, wherein the label is assigned to each training object in the training set, and each training object is associated with the object characteristics vector, the weight parameter for each training object determination, the weight parameter indicates the label quality, which presents the confidence level of the label assignment to the training object, the relevance parameter determination, configured based on the parameter relevance reordering by the server, relative to the other labels in the training selection, the ranking facility training, using the training objects plurality from the training selection, the specific relevancy parameter for each training object from the training objects plurality of the training selection, and the specific weight parameter for each object from the training objects plurality of the training selection, to rank the new document.
EFFECT: ranking quality optimisation.
17 cl, 4 dwg
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Authors
Dates
2017-10-02—Published
2016-04-11—Filed