Method for screening data search results of data center

Abstract

The invention discloses a method for screening data search results of a data center, and particularly relates to the technical field of data screening, which comprises the following specific steps of: 1, constructing the data center, and dividing data stored in the data center according to subject names of retrieval objects, dividing data corresponding to different retrieval objects into different subdirectories, and then constructing a theme name database by using a plurality of theme names; 2, constructing a keyword database according to theme names of different subdirectories divided by the data center; and 3, inputting the theme name of the object to be retrieved through the user operation interface by a retriever. According to the method, the keyword database is constructed, and a plurality of keywords are provided for a retriever to select when the retriever carries out retrieval, so that the retriever can be helped to input accurate and effective keywords in a search engine, data contents matched with the keywords can be searched by utilizing the search engine, and the data content can also meet the requirement of retrieval.

Description

technical field [0001] The invention relates to the technical field of data screening, in particular to a method for screening data search results in a data center. Background technique [0002] In this information age, people can select the information they need from big data through data search. Big data has new characteristics such as scale, high speed, diversity, and ubiquity. Specifically, it refers to the need to quickly acquire, process, analyze, and extract valuable, massive, and diverse transaction data and interactive data, and propose targeted solutions for the operating mode of the enterprise. [0003] As far as the current development trend is concerned, the development of big data technology is in full swing. It has been widely used in various fields, and judging from its current development situation, big data technology has very good development prospects. Nowadays, big data companies in society can be mainly divided into three categories, namely technology-...

AI Technical Summary

Problems solved by technology

[0004] In the prior art, most searchers use keywords to search in big data, expecting to retrieve data content that matches the keywords, but the searchers are not sure what the keywords are during the search process. Therefore, it is often difficult for searchers to input accurate keywords when searching, and once the entered keywords are wrong, it is difficult to search for the data content required by the searcher. Therefore, at this time, the searcher needs to change the keywords and search again, which is wasteful. time, the retrieval efficiency is low

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