A user demand data cleaning method and system

Abstract

The invention provides a user demand data cleaning method and system. The method comprises the following steps of S1) receiving user demand data sent by a data source; S2) grading the user demand data; S3) verifying the user demand data according to the grades to determine effective user demand data; and S4) storing the valid user demand data into a database. According to the user demand data cleaning method provided by the invention, the user demand data in the Internet can be cleaned in a targeted manner, the user demand can be captured timely and accurately, and the order generation rate isimproved.

Description

technical field [0001] The invention belongs to the technical field of data processing, and in particular relates to a method and system for cleaning user demand data. Background technique [0002] With the rapid development of computer technology and communication technology, people can obtain more and more digital information. For Internet companies, they also obtain more and more various data information through the network. There may be a lot of useless information in the countless data information. Therefore, it is necessary to clean and filter the various data obtained. , to determine the real effective information. [0003] For example, for the engineering industry, Internet companies can collect various industry engineering demand information through various channels (for example, display the industry’s engineering needs such as installation and maintenance), especially through online channels (such as Baidu search and other Internet search information). engine), t...

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Problems solved by technology

[0003] For example, for the engineering industry, Internet companies can collect various industry engineering demand information through various channels (for example, display the industry’s engineering needs such as installation and maintenance), especially through online channels (such as Baidu search and other Internet search information). engine), the quantity of these demand information is very large, and in related technologies, manual customer service is generally used to verify all the demand information one by one. However, these demand information are often very large, and there may be many invalid, Expired information, therefore, will lead to a lot of invalid work and low work efficiency. Enterprises cannot capture user needs in a timely and accurate manner, and it is difficult to contact customers in time, resulting in the loss of potential customers.

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