Intelligent retrieval method and system for finance and tax removal data

Abstract

The invention discloses an intelligent retrieval method and system for finance and taxation data, and the method comprises the following steps: obtaining finance and taxation data, then carrying out the data preparation, forming a retrieval data format with features, and storing the retrieval data format in a cloud storage platform; inputting the data features needing to be retrieved into a computer data search platform for searching; and enabling the computer to perform corresponding search work according to the input data characteristics and the search engine. According to the method, the obtained finance and taxation data are sorted and processed, the finance and taxation data are classified and marked according to time, tax types, products, purposes and amounts, and data retrieval conditions with time features, tax type features, product features, purpose features and amount features are generated at the same time, so that retrieval channels of the finance and taxation data are increased, the retrieval efficiency of the finance and tax data is improved, the retrieval is quicker, meanwhile, the user experience is greatly improved, and actual use is facilitated.

Description

technical field [0001] The invention belongs to the field of intelligent retrieval of financial and taxation data, in particular to an intelligent retrieval method and system for removing financial and taxation data. Background technique [0002] In existing life, the advent of the era of big data has promoted the rapid development of data storage, processing and other multi-field theories and engineering practices. Finance and taxation is the abbreviation of finance and taxation, generally including various finance, taxation, taxation and other majors, while With the development of time, the country's economy and technology are constantly improving, and there are more and more companies in the country. In the process of business operation, fiscal and taxation is an inevitable problem, and as time goes by, the amount of fiscal and taxation data will increase. It is getting bigger and bigger, and it is more common for big data to store financial and tax data. At the same time...

AI Technical Summary

Problems solved by technology

[0003] However, in the prior art, most of the intelligent retrieval methods and systems for financial and taxation data can only be retrieved through a single feature vector. Due to the continuous increase of financial and taxation data, the retrieval process is getting slower and slower, and the retrieval difficulty is increasing. It is impossible to quickly retrieve all financial and tax data, resulting in very unsatisfactory retrieval results, poor user experience, poor use effects, and extremely low retrieval efficiency, which is not conducive to actual use

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