Method, system and server for fast clustering advertising orders

Abstract

The invention relates to the technical field of Internet, and discloses a method, a system and a server for fast clustering advertising orders. The comprises the following steps: extracting scenic global semantic features of advertising images from the advertising images included in the advertising orders; according to the scenic global semantic features of the advertising images, acquiring image fingerprints of the advertising images; according to the acquired image fingerprints of the advertising images included in any two advertising orders, calculating similarity between the any two advertising orders; judging whether the similarity between the any two advertising orders surpasses a preset similarity threshold, and if so, storing the any two advertising orders into an advertising order set corresponding to the same clustering identifier in a database. Through the adoption of the method, the system and the server, fast clustering of different advertising orders including identical or extremely similar advertising images can be achieved, so as to improve the advertising effect of the advertising orders.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to a fast clustering method, system and server for advertising orders. Background technique [0002] In ad recommendation, there are usually a large number of different insertion orders containing identical or very similar ad images, and in some extreme cases, there may even be as many as thousands of different insertion orders containing identical or very similar Similar ad images. In practice, however, it has been found that the redundant information carried by different insertion orders containing exactly the same or very similar advertising images is usually different, which leads to the sparse dispersion of such insertion orders, thus affecting the delivery efficiency of such insertion orders. Effect. Contents of the invention [0003] The embodiment of the present invention discloses a fast clustering method, system, and server for advertising orders, which are used t...

AI Technical Summary

Problems solved by technology

In practice, however, it has been found that the redundant information carried by different insertion orders containing exactly the same or very similar advertising images is usually different, which leads to the sparse dispersion of such insertion orders, thus affecting the delivery efficiency of such insertion orders. Effect

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