Advertisement filtering system and advertisement filtering method specific to text characteristics

Abstract

Provided are an advertisement filtering system and an advertisement filtering method specific to text characteristics. The advertisement filtering system specific to the text characteristics comprises a content input interface, a characteristic analyzing module, a decision calculation module, a data recording module, an information base, an instruction output interface, a manual operation input interface and a machine learning module. The content input interface is used for receiving user generated contents from an internet interactive product. The characteristic analyzing module is used for analyzing the user generated contents, extracting various characteristics of the user generated contents and calculating characteristic values and generating characteristic vectors according to characteristic history and manual operation records. The information base is used for storing various characteristic data of the user generated contents. The decision calculation module is used for comprehensively judging whether to filter the user generated contents or not according to the characteristic vectors generated by the characteristic analyzing module. The data recording module is used for writing the characteristic data, classified data and the manual operation records into the information base. The instruction output interface is used for sorting the judgement result of the decision calculation module into a display / shield operation instruction and synchronizing the display / shield operation instruction to the internet interactive product. The manual operation input interface is used for receiving and analyzing the operation of the filtering result modified by manual work. The machine learning module utilizes the result obtained from every analysis and the manual operation records to perform learning and updates the decision calculation module according to the learning.

Description

technical field [0001] The present invention relates to an advertisement filtering system and its filtering method aimed at text features, in particular to a filtering system and its filtering method for accurately filtering information such as irrigation and commercial advertisements according to the characteristics of Internet interactive products, belonging to network information security technology field. Background technique [0002] At this stage, major forums and blogs on the Internet are facing a large number of advertising posts, which greatly affects the user's interactive experience. Generally, forums and blogs have operation backgrounds that provide moderators with the ability to delete advertisements and illegal information, but humans cannot guarantee timely blocking of advertisements. The present invention is just embedded in such an operation background, and uses various methods to extract text features. These methods can be regarded as weak classifiers. Ac...

AI Technical Summary

Problems solved by technology

[0007] 4. Use pre-set filter parameters. Filter parameters cannot be automatically changed according to the ever-changing advertisement posts. Even if there are too many misjudgments, the parameters can only be updated manually instead of self-learning and unable to adapt to the development trend of advertisement posts.

[0008] 5. It only uses the reservation parameters to automatically filter, without considering manual operations: when some posts that are filtered by the filtering system and considered to have no problems may be deleted by manual operations due to other rules, because they will not learn manual operations, the next time the system will Encountering similar posts still won't filter

Images