Classified sample set optimizing method and content-related advertising server

Abstract

The invention involves automatic classification technology, opening classification samples collected optimization method. The method including: access to documents and files associated with the advertisement referred to the correlation between the parameter; if documents and the related ads with relevant parameters predetermined conditions In accordance with the document on the classification of the corresponding type of sample set is optimized. The invention also openly advertising related to the contents of the corresponding server. The invention can be achieved with the implementation of the separate sample set of dynamic optimization to ensure that the ads and the content of documents, and to avoid placing ads less effective because of the waste of resources caused by the issue of addition.

Description

technical field [0001] The invention relates to an automatic classification technology, in particular to an optimization technology for an automatic classification sample set in a content-related advertisement system. Background technique [0002] With the rapid increase in the number of Internet users, interactive advertisements provided through the Internet have become very popular. Advertisers can use the Internet to promote their products in various ways; , the advertisement is presented to the user. When the user clicks on the advertisement, the embedded hyperlink can direct the user to the corresponding product webpage or the advertiser’s website, etc.; another way is to register the advertisement information with the search engine. When querying product information, the search engine will return the corresponding advertisement list to the user according to the specific keywords entered by the user, and the user can click on an advertisement in the list to visit the co...

AI Technical Summary

Problems solved by technology

[0005] During the research and practice of the prior art, the inventor found that: in some content-related advertising systems, a large amount of system resources are used to place the advertisements according to the contents of the documents, and the advertisements do not attract much attention from users, thus Causes a lot of waste of system resources; the reason is mainly due to the poor quality of the classification sample set, which leads to inaccurate classification of documents, so the documents provided to users are less relevant to advertisements, making the advertisements and document content different. categories are far apart

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