Advertisement filter system and advertisement filter method

Abstract

An advertisement filter system comprises a content input interface, a feature analysis module, a decision calculating module, a data recording module, an information base, a command output interface, a manual operation input interface and a machine learning module, wherein the content input interface is used for receiving user generating content from internet interactive products; the feature analysis module is used for analyzing the user generated content, extracting the multiple features of the user generated content and calculating the feature value according to the feature history condition and a manual operation record so as to generate feature vectors; the information base is used for storing various feature data of the user generated content; the decision calculating module is used for comprehensively judging whether the user generated content is filtered or not according to the feature vectors generated by the feature analysis module; the data recording module is used for writing the feature data, categorical data and the manual operation record into the information base; the command output interface is used for arranging a result judged by the decision calculation module into a display / shielding operation command, and synchronizes the display / shielding operation command to the internet interactive product; and the manual operation input interface is used for receiving and analyzing the operation of a filter result modified manually; and the machine learning module utilizes each analysis result and the manual operation record to learn and upgrades the decision calculating module according to the learning.

Description

technical field [0001] The invention relates to an advertisement filtering system and a filtering method thereof, in particular to a filtering system and a filtering method for accurately filtering information such as irrigation water and commercial advertisements according to the characteristics of Internet interactive products, and belongs to the technical field of network information security. 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. According to the...

AI Technical Summary

Problems solved by technology

This method can only deal with low-level advertisements, and if there are words deformed or around keywords, it will not be recognized

[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

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