Method for evaluating file importance degree

Abstract

A method for evaluating the importance of documents belongs to the field of computer storage technologies, which is to make quantitative evaluation on the importance of documents according to their relevancy, so as to adopt different strategies for documents with different importance. The invention comprises the steps of calculating document relevancy and calculating document importance; for the sake of convenience, users can first establish a visit hinged map. Taking document visit relationship and document meaning information as the factors for the quantitative evaluation on document importance, the invention can better describe visit behaviors of actual users and document feature to lay a foundation for the provision of optimized strategies. On the basis, the evaluation of document importance can be deepened and rendered with more value. In addition, the invention can also make machines automatically analyze the importance extent of data quantitatively, and handle them separately.

Description

technical field [0001] The invention belongs to the technical field of computer storage, and in particular relates to a method for evaluating the importance degree of files. Background technique [0002] In the field of storage, there has always been a balance between performance and price. Putting the most important data on the safest device and frequently accessed data on the device with the best performance has great impact on the performance and security of the entire system. is a boost. The traditional evaluation of the importance of data is mainly based on the passive recording of hotspot data obtained by access frequency or access time interval, which is far from meeting the storage requirements of today's increasingly complex data. [0003] In the field of Internet, Google proposed page-level (PageRank) technology for web hyperlinks, see L.Page, S.Brin, R.Motwani, and T.Winograd. The PageRank Citation Ranking: Bringing Order to the Web.Technicalreport, Stanford Dig...

AI Technical Summary

Problems solved by technology

[0006] The above algorithms all separate the file access order and file semantic information for research. The file access order is related to the access program and the system. All of these are not controllable by humans, that is, the file access order does not necessarily reflect the user's behavior. The actual order of access functions, because the CPU in the system has a thread scheduling function, different threads will be called in for access in turn, then the files involved in these threads will also be accessed sequentially, even if the two files have no correlation, In this case, there will be considerable errors in the record of the file order; even considering the factor of the access program, it cannot be completely guaranteed, because many associated accesses will involve different programs due to different file types, especially in distributed In the storage system, if only the program is considered without considering other factors, such as user rights and security levels, then the records that do not consider the access order of file associations will actually have considerable errors

Similarly, evaluating the association degree based on the extracted semantic information ignores the relationship of access order, resulting in an error in the evaluation of the association degree of two highly semantically related file objects whose access order cannot actually occur

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