Abstract
With the development of vocational education in China, millions of students graduate every year. Many graduates can’t find the compatible job, even out of work. At the same time, many enterprises complain that the ability of graduates can’t meet their requirements. They found that it is difficult to find suitable talents. In recent years, publishing recruitment information through the Internet has become a common action of many enterprises, especially in the recruitment website. Because enterprises have clearly put forward the qualification and responsibility of posts that the candidates should have in the recruitment information, we designed and implemented a solution to help vocational colleges improving the employment rate and the quality of teaching. It crawl recruitment information from recruitment website and extract qualification and responsibility of posts. On the one hand, the recruitment information can help students obtain employment; on the other hand, the qualification and responsibility of posts can help vocational colleges to closely track the enterprises’ demand for talents’ vocational skill, formulate and optimize the talents training scheme timely so as to ensure the quality of talents.
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Acknowledgments
This work is supported by the National Key Research and Development Program of China under Grant (No. 2016YFB0800400), the 973 Program of China under Grant (No. 2014CB340401), the National Natural Science Foundation of China under grants (Nos. 61572371, 61273216 and 61272111), and the China Postdoctoral Science Foundation under Grant (No. 2015M582272).
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Ding, Y., Li, B., Zhao, Y., Liao, F. (2017). A Novel Approach to Extracting Posts Qualification from Internet. In: Yuan, H., Geng, J., Bian, F. (eds) Geo-Spatial Knowledge and Intelligence. GRMSE 2016. Communications in Computer and Information Science, vol 698. Springer, Singapore. https://doi.org/10.1007/978-981-10-3966-9_23
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DOI: https://doi.org/10.1007/978-981-10-3966-9_23
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