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Method for identifying junk data in internet second-hand car industry

A technology of garbage data and identification method, applied in the automotive field, can solve the problems of inability to cross-comparison multiple data sources, inefficiency, inability to filter data, etc., and achieve the effect of solving inefficiency and cumbersomeness, improving efficiency, and improving business operation efficiency.

Inactive Publication Date: 2016-11-09
江苏车置宝信息科技股份有限公司
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Problems solved by technology

[0003] Existing methods have the following problems: manual identification, low efficiency, and inability to perform cross-comparisons from multiple data sources
Existing data cannot be filtered by historical data

Method used

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  • Method for identifying junk data in internet second-hand car industry

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Embodiment Construction

[0021] Such as figure 1 As shown, the Internet second-hand car industry garbage data identification method of the present invention comprises the following steps:

[0022] Step 1: Extracting car sales information from several Internet sites through search algorithms;

[0023] Step 2: Carry out car sales data summary on car sales information;

[0024] Step 3: Classify the source of the car sales data;

[0025] Step 4: Classify the validity of the car sales data.

[0026] In the first step of the present invention, the search algorithm is a method to use the high performance of the computer to exhaustively enumerate part or all possible situations of a problem solution space, thereby finding a solution to the problem. The homepage of a website recursively receives the text information of the webpage in all the accessible links of the website, and extracts the car selling information from the text information.

[0027] In step 2 of the present invention, the specific process ...

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Abstract

The invention discloses a method for identifying junk data in the internet second-hand car industry. The method comprises the steps of 1, extracting car selling information from multiple internet websites by means of search algorithm; 2, conducting car selling data summarization on the car selling information; 3, conducting origin classification on car selling data; 4, conducting validity grading on the car selling data. The method replaces manual work to process internet car selling data, and data are classified and graded; service operation efficiency is improved, and the method can help customer services better learn the urgency degree of the car selling desire of a customer.

Description

technical field [0001] The invention relates to a method for identifying garbage data in the Internet second-hand car industry, which belongs to the technical field of automobiles. Background technique [0002] According to the applicant's understanding, combined with machine learning technology and the characteristics of Internet car sales information, data modeling is carried out through massive data analysis, and data source classification and data validity classification are realized. [0003] The existing methods have the following problems: manual identification is inefficient, and cross-comparison from multiple data sources cannot be performed. Existing data cannot be filtered by historical data. [0004] Data source classification: In traditional industries, it is very costly and inefficient to manually classify individual customers and business customers for massive Internet data, while computers can happen to use big data to perform feature extraction and identify...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06Q30/02
CPCG06F16/9535G06Q30/0201
Inventor 刘遵尚
Owner 江苏车置宝信息科技股份有限公司
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