Confusion and Countermeasures of College Students’ Career Guidance Work Based on Deep Learning Models
In this paper, we identify teaching signals and employment factors by designing a college student employment guidance work model. The deep learning model is used to identify the given feature vectors, find the word sequence with the highest probability among them, generate the probability of the cor...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2024-01-01
|
| Series: | Applied Mathematics and Nonlinear Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/amns.2023.2.01115 |
| _version_ | 1797340643558686720 |
|---|---|
| author | Ji Liya |
| author_facet | Ji Liya |
| author_sort | Ji Liya |
| collection | DOAJ |
| description | In this paper, we identify teaching signals and employment factors by designing a college student employment guidance work model. The deep learning model is used to identify the given feature vectors, find the word sequence with the highest probability among them, generate the probability of the corresponding acoustic feature vectors, and model the college students’ employment guidance work model to model and calculate them. The teaching signal feature distribution is used to create the description, and the output probability is adjusted to it. The number of college graduates in 2020 will be 6.3 million, an increase of 190,000 compared to last year, and the initial employment rate is 91.07%. The deep learning model can effectively identify college students’ employment confusion, propose effective countermeasures and improve the employment rate. |
| first_indexed | 2024-03-08T10:06:10Z |
| format | Article |
| id | doaj.art-d7290d89e8ec49979f5652aecef7d5b7 |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-08T10:06:10Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-d7290d89e8ec49979f5652aecef7d5b72024-01-29T08:52:39ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.2.01115Confusion and Countermeasures of College Students’ Career Guidance Work Based on Deep Learning ModelsJi Liya01Intelligent Manufacturing College, Yangzhou Polytechnic Institute, Yangzhou, Jiangsu, 225000, China.In this paper, we identify teaching signals and employment factors by designing a college student employment guidance work model. The deep learning model is used to identify the given feature vectors, find the word sequence with the highest probability among them, generate the probability of the corresponding acoustic feature vectors, and model the college students’ employment guidance work model to model and calculate them. The teaching signal feature distribution is used to create the description, and the output probability is adjusted to it. The number of college graduates in 2020 will be 6.3 million, an increase of 190,000 compared to last year, and the initial employment rate is 91.07%. The deep learning model can effectively identify college students’ employment confusion, propose effective countermeasures and improve the employment rate.https://doi.org/10.2478/amns.2023.2.01115deep learning modelsfeature vectorscollege employmentinstructional signalsoutput probability97m20 |
| spellingShingle | Ji Liya Confusion and Countermeasures of College Students’ Career Guidance Work Based on Deep Learning Models Applied Mathematics and Nonlinear Sciences deep learning models feature vectors college employment instructional signals output probability 97m20 |
| title | Confusion and Countermeasures of College Students’ Career Guidance Work Based on Deep Learning Models |
| title_full | Confusion and Countermeasures of College Students’ Career Guidance Work Based on Deep Learning Models |
| title_fullStr | Confusion and Countermeasures of College Students’ Career Guidance Work Based on Deep Learning Models |
| title_full_unstemmed | Confusion and Countermeasures of College Students’ Career Guidance Work Based on Deep Learning Models |
| title_short | Confusion and Countermeasures of College Students’ Career Guidance Work Based on Deep Learning Models |
| title_sort | confusion and countermeasures of college students career guidance work based on deep learning models |
| topic | deep learning models feature vectors college employment instructional signals output probability 97m20 |
| url | https://doi.org/10.2478/amns.2023.2.01115 |
| work_keys_str_mv | AT jiliya confusionandcountermeasuresofcollegestudentscareerguidanceworkbasedondeeplearningmodels |