Position transition prediction method based on job trajectory data

Abstract

The invention discloses a position transition prediction method based on job trajectory data. Influencing factors of user position transition are discovered and the prediction method for the user position transition is researched on a model for analyzing the user position transition. The method comprises the steps of extracting resumes from a database and obtaining history job trajectory data of users; discovering user position transition spatial and temporal characteristics by carrying out statistics, classification and analysis on massive user job trajectory data, and establishing a user position transition spatial and temporal model; extracting and quantifying the influencing factors of the user position transition from the user position transition spatial and temporal model; training a position transition prediction model through a decision tree algorithm through combination of the position transition data of the users according to definition and quantification of the influencing factors of the user position transition; and on the basis of the position transition prediction model obtained in the S4, predicting the positions after the user position transition according to the current positions of the users. According to the method, the influencing factors of the user position transition are taken into full consideration, and the transition accuracy is predicted well.

Description

technical field [0001] The invention belongs to the field of data mining and analysis, in particular to a job change prediction method based on career trajectory data. Background technique [0002] In recent years, predicting user job transitions based on user career trajectories has attracted more and more attention from researchers. The so-called job change prediction usually means that based on the user's historical career trajectory data and combined with the user's individual characteristic information, if the user has a career change behavior, the situation of the user's next job can be predicted. Among them, the historical career trajectory data mainly comes from the data supplemented and perfected by users in professional social networks. Through data mining of historical career trajectories, a spatio-temporal model of user job transitions is constructed, factors affecting job transitions are discovered, and existing algorithms can be used to accurately predict user...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem of the obtained position when the user's career changes, the present invention provides a position change prediction method based on historical career trajectory data. Decision tree method for predicting job transitions

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