Data processing method and device and equipment

Data processing method and device and equipment

The invention discloses a data processing method and device and equipment. The method comprises the steps that a first social group belong to the specific group type is acquired from a second social group; the subtypes corresponding to users in the first social group are recognized, and the users wi...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: LIANG CHENXI, YU CHUANWEI, LI ZHUIRI, SONG ZHONGGANG, LING GUOHUI
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
HANDLING RECORD CARRIERS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:The invention discloses a data processing method and device and equipment. The method comprises the steps that a first social group belong to the specific group type is acquired from a second social group; the subtypes corresponding to users in the first social group are recognized, and the users with the corresponding subtypes are determined as positive sample users with target careers; and negative sample users are selected from users in the second social group except the positive sample users, and a model is trained according to the user characteristics of the positive sample users and thenegative sample users to obtain a user mining model. By recognizing the subtypes corresponding to the users in the first social group belong to the specific group type, the positive sample users withthe target careers corresponding to the specific group type can be precisely determined; and by taking the user characteristics of the positive sample users as training samples to train the model, theuser mining model capable