2. The method of claim 1 , wherein generating the augmented query feature vector comprises: calculating, using the set of numerical values of the query feature vector and the sets of numerical values of the news feature vectors as coordinates, second metrics of similarity between the query feature vector and the news feature vectors; and selecting the subset of the news feature vectors, based on at the second similarity metrics.
2. The method of claim 1 , wherein generating the augmented query feature vector comprises: calculating, using the set of numerical values of the query feature vector and the sets of numerical values of the news feature vectors as coordinates, second metrics of similarity between the query feature vector and the news feature vectors; and selecting the subset of the news feature vectors, based on at the second similarity metrics. 3. The method of claim 2 , wherein calculating the second similarity metrics comprises calculating Euclidean distances between a point in n-dimensional space represented by the set of numerical values of the query feature vector and points in n-dimensional space represented by the sets of numerical values of the subset of the news feature vectors.