Method for criminating electronci file and relative degree with certain field and application thereof

Abstract

This invention discloses a judgment method for electronic document and related degree of a field and uses the technical degree in a search tool and / or engine to get the effect of sorting file information and / or filtration and / or blockage including: carrying out searching for the key phrases and key words pick up by a search tool or engine system in a speciality character code library / blockage character code library to get a corresponding preset trade character degree for weighted average then to multiply a trade character ratio to get a speciality degree to be used in the search field to increase the executing efficiency and quality of search result or provide the search result meeting the blockage strategy or specific kind.

Description

Technical field: [0001] The invention relates to the fields of indexing, searching and classification of computer electronic documents, especially a method for judging the degree of correlation between electronic documents and a certain field and its application in the field of industry search engines. Background technique: [0002] With the development of computer and Internet information technology, electronic documents such as text and multimedia content used in the Internet and other data networks and systems have increased rapidly. Currently, the management of electronic documents such as text and multimedia content used in the Internet and other data networks and systems Search and search mainly rely on text and keyword-based search tools or engines to search for the required information. Generally, existing search tools or engines do not classify and store such data, which greatly reduces the execution efficiency and the quality of execution results of search tools or...

AI Technical Summary

Problems solved by technology

[0003] At present, there are technologies to search and classify documents through information such as file names, directory names, and file attributes. However, this file-name-oriented query method cannot provide search for specific topics, and cannot mine files whose file names cannot represent the content of the file. There are too many requirements for understanding the query target. At the same time, data streams without file names and file attributes such as web pages captured by search engine crawlers cannot be classified by this technology.

[0004] There are also technologies that can parse the content of the document and extract the summary of the document, but the cost of this method is extremely high, and its cumbersome analysis makes the entire data processing process very long, which seriously affects the efficiency of automatic program execution

At the same time, this technique cannot quantify the professional relevance of documents or data streams

[0005] In addition, for information search engines such as Google, when building an index, the page rank (PR) is mainly evaluated based on the number of backlinks on the page, which is one of the main basis for the ranking algorithm. However, most professional information pages are often located in the deeper layers of the website. , and there are fewer backlinks. Therefore, professional content is often not high in web page level, and may even not be included because of the low level. This kind of algorithm will inevitably reduce the quality of search results

[0006] At present, there is no prior art that discloses the quantitative calculation method of the professional degree, and does not apply the professional degree to the field of document classification and / or document category identification and / or blocking engines of industry search engines. Content allowed by category information and / or blocking policies is provided to end users as a result of a content search, which has low accuracy and does not implement optimal blocking policies

Images