1. A method for pushing content items, comprising: obtaining a target text and analyzing lexically the target text; extracting features, comprising traffic feature, from the target text; classifying hierarchically, the features extracted from the target text, based on a pre-trained hierarchical classification model considering traffic feature to obtain a hierarchical classification of the target text; selecting one or more among a plurality of content items based on the hierarchical classification of the target text; obtaining the selected content items; and pushing the obtained content items to a terminal; wherein the target text comprises a webpage text which comprises a traffic feature identifying source of the webpage text; wherein the plurality of content items comprise a plurality of promotion texts; wherein for each of the plurality of promotion texts: obtaining the promotion text and analyzing lexically the promotion text; extracting features, comprising traffic feature, from the promotion text; classifying hierarchically, the features extracted from the promotion text, based on a pre-trained hierarchical classification model considering traffic feature to obtain a hierarchical classification of the promotion text; and calculating similarity between the webpage text and the promotion text based on the hierarchical classification of the promotion text and the hierarchical classification of the webpage text, wherein the selecting one or more among the plurality of promotion texts is based on the similarity between the webpage text and each of the plurality of promotion texts.
1. A method for pushing content items, comprising: obtaining a target text and analyzing lexically the target text; extracting features, comprising traffic feature, from the target text; classifying hierarchically, the features extracted from the target text, based on a pre-trained hierarchical classification model considering traffic feature to obtain a hierarchical classification of the target text; selecting one or more among a plurality of content items based on the hierarchical classification of the target text; obtaining the selected content items; and pushing the obtained content items to a terminal; wherein the target text comprises a webpage text which comprises a traffic feature identifying source of the webpage text; wherein the plurality of content items comprise a plurality of promotion texts; wherein for each of the plurality of promotion texts: obtaining the promotion text and analyzing lexically the promotion text; extracting features, comprising traffic feature, from the promotion text; classifying hierarchically, the features extracted from the promotion text, based on a pre-trained hierarchical classification model considering traffic feature to obtain a hierarchical classification of the promotion text; and calculating similarity between the webpage text and the promotion text based on the hierarchical classification of the promotion text and the hierarchical classification of the webpage text, wherein the selecting one or more among the plurality of promotion texts is based on the similarity between the webpage text and each of the plurality of promotion texts. 6. The method of claim 1 , in which the target text comprises a promotion text which comprises a traffic feature identifying source of the promotion text.