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Automobile clue quality discrimination method based on multi-dimensional information fusion
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Title:
Automobile clue quality discrimination method based on multi-dimensional information fusion
Author:
SUN AOXUE
;
FU DONGDONG
;
ZHENG QI
;
ZHANG ZHONGSHAN
Subjects:
CALCULATING
;
COMPUTING
;
COUNTING
;
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
;
ELECTRIC DIGITAL DATA PROCESSING
;
PHYSICS
;
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
Description:
The invention discloses an automobile clue quality discrimination method based on multi-dimensional information fusion. The automobile clue quality discrimination method based on multi-dimensional information fusion comprises the following steps: 1, generating feature tag data; 2, effective composition dimension estimation; 3, effective basic dimension information fusion; 4, effective standard reasoning; and 5, effective rate standard explanation: supervising and predicting information of various dimensions such as a car purchase intention of a user, call-out connection and the like, fusing prediction information of various dimensions, obtaining clue effectiveness, repeatedly comparing and verifying the clue effectiveness with clue effectiveness fed back by a host manufacturer, and finally obtaining a stable and accurate judgment standard of various dimensions effective for the clue by the manufacturer. The method has the capability of accurately judging the clue quality, and based on the requirements of each
Creation Date:
2023
Language:
Chinese;English
Source:
esp@cenet
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