Institute student employment prediction method and system
A forecasting method and technology for graduate students, applied in the field of graduate employment forecasting methods and systems, can solve the problems of low reference value for employment guidance work in colleges and universities, and achieve the effect of accurate forecasting
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Embodiment 1
[0060] like figure 1 As shown, this embodiment provides a graduate employment prediction method, including the following steps:
[0061] 1) Based on the data of graduate students and their corresponding tutor data, build a heterogeneous network of teacher-student relationships, specifically:
[0062] 1.1) Obtain the data of previous graduate students and their corresponding supervisor data, and establish a graduate student information database and a supervisor information database respectively.
[0063] Specifically, postgraduate data includes basic data, academic data, and employment destination, among which basic data includes gender, major, and family location, etc., and academic data includes school grades, English proficiency, and affiliated tutors.
[0064] Specifically, the tutor data includes personal introduction, research direction, education experience, work experience, lecture courses, scientific research projects, scientific research achievements, part-time socia...
Embodiment 2
[0099] This embodiment provides a graduate employment prediction system, including:
[0100] The model construction module is used to construct an employment prediction model based on the teacher-student relationship network based on the graduate student data and their corresponding supervisor data.
[0101] The prediction module is used to obtain the data of the graduate students to be predicted and their corresponding supervisor data, and determine the employment orientation type of the graduate students to be predicted according to the employment prediction model constructed.
[0102] In a preferred embodiment, the postgraduate employment prediction system further includes a data processing module, which is used to obtain the data of past graduate students and their corresponding supervisor data, as well as obtain the data of graduate students to be predicted and their corresponding supervisor data, and process the acquired data preprocessing.
[0103] In a preferred embod...
Embodiment 3
[0112] This embodiment provides a processing device corresponding to the graduate employment prediction method provided in Embodiment 1. The processing device may be a processing device for a client, such as a mobile phone, a notebook computer, a tablet computer, a desktop computer, etc., to execute The method of Example 1.
[0113] The processing device includes a processor, a memory, a communication interface and a bus, and the processor, the memory and the communication interface are connected through the bus to complete mutual communication. A computer program that can run on the processing device is stored in the memory, and the processing device executes the graduate employment prediction method provided in Embodiment 1 when running the computer program.
[0114] In some implementations, the memory may be a high-speed random access memory (RAM: Random Access Memory), and may also include a non-volatile memory, such as at least one disk memory.
[0115] In other implemen...
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