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The problem of personal duplicate checking of HowNet has not been solved.
The reasons why the individual duplicate checking of HowNet has not been solved are as follows:

First, double-check that the file is in the editing state.

If the paper document is being edited in the background when the paper is submitted, the content of the document will not be detected by the duplicate checking system, and it will be regarded as a blank document by the duplicate checking system. If the double-check system fails to detect the content, it will show that the detection and analysis failed.

Second, the document was not uploaded in a standard format.

The duplicate checking system of HowNet generally only accepts documents in Word and PDF formats, and other formats will not be recognized by the duplicate checking system, resulting in the failure of detection and analysis.

Third, the uploaded document is too large.

The duplicate checking system of HowNet will show that the detection failed when it detects the documents above 15M. You can temporarily delete the larger data pictures in the paper and add them back after the test is successful.

Fourth, the necessary information is incorrect.

The author needs to fill in his name, title and abstract correctly when the duplicate checking system of HowNet detects papers. If the information is not filled in correctly, the detection and analysis will fail.

Fifth, there are too many duplicate users.

If more duplicate users submit papers at the same time, the system will be slow and the detection and analysis will fail. You just need to wait patiently or check the weight of the wrong peak, and the test results will come out in at least two to three hours.

The detection range of HowNet's personal duplicate checking:

The content of duplicate checking in HowNet is mainly the abstract and text of the paper, including citing some different schools, periodicals and magazines. However, the repeated inspection system will not copy the picture information in the paper.

Content, because there is no way to compare. Hownet detection is to compare the test paper with the test paper already included in Hownet database with a certain algorithm, so as to know which parts of each school's test paper are different. Generally, the repetition rate is required to be below 30%. Each repetition rate depends on the requirements of the school, and the school will also give them a place to check the duplicate.

Basically, China Knowledge Network can know that the system does not detect pictures and formulas according to the duplicate checking algorithm of authoritative websites. On the one hand, these data are difficult to compare with computers, on the other hand, the paper focuses on the detection of words. This is good news for most students.