Determining trends in the labour market. analysis and structuring of obtained information
Keywords:
website parsing, API, textual data mining, keyword classification in texts.
Abstract
This research paper discusses ways to identify trends in the labour market. An overview of the leading web services to provide information on employers’ requirements for future employees has been conducted. The algorithms for parsing HTML code for job sites are presented. Methods of post-processing and analysis of parsing results are offered. Models of storage of parsing results and criteria of further use of results in the distance learning system are presented. Python opportunities were used for parsing and analysis.
References
Modelling and Detecting Changes in User Satisfaction. Proceedings of the 23rd ACM International Conference on Information and Knowledge Management (CIKM'14) / J.Kiseleva, E. Crestan, R. Brigo, R. Dittel. – New York: ACM, 2014.
Multimedia Content Recommendation Engine with Automatic Inference of User Preferences. Proceedings of the IEEE International Conference on Image Processing / A. M. Ferman, P. Van Beek, J. H. Errico, M. I. Sezan – 2003.
An adaptive user profile for filtering news based on a user interest hierarchy [Електронний ресурс] / S. Singh, M. Shepherd, J. Duffy, C. Watters // ASIS&T Digital Library. – 2007. – Режим доступу до ресурсу: https://doi.org/10.1002/meet.1450430154.
Salton G. Automatic Information Organization and Retrieval / Gerard Salton. – New York: McGraw-Hill, 1968.
Ahn J. Personalized Search: Reconsidering the Value of Open User Models, Proceedings of the 20th International Conference on Intelligent User Interfaces (IUI '15) / J. Ahn, P. Brusilovsky, S. Han. – New York: ACM, 2015.
Kim H. R. Learning Implicit User Interest Hierarchy for Context in Personalization IUI’03 / H. R. Kim, P. K. Chan. – Miami, 2003.
Multimedia Content Recommendation Engine with Automatic Inference of User Preferences. Proceedings of the IEEE International Conference on Image Processing / A. M. Ferman, P. Van Beek, J. H. Errico, M. I. Sezan – 2003.
An adaptive user profile for filtering news based on a user interest hierarchy [Електронний ресурс] / S. Singh, M. Shepherd, J. Duffy, C. Watters // ASIS&T Digital Library. – 2007. – Режим доступу до ресурсу: https://doi.org/10.1002/meet.1450430154.
Salton G. Automatic Information Organization and Retrieval / Gerard Salton. – New York: McGraw-Hill, 1968.
Ahn J. Personalized Search: Reconsidering the Value of Open User Models, Proceedings of the 20th International Conference on Intelligent User Interfaces (IUI '15) / J. Ahn, P. Brusilovsky, S. Han. – New York: ACM, 2015.
Kim H. R. Learning Implicit User Interest Hierarchy for Context in Personalization IUI’03 / H. R. Kim, P. K. Chan. – Miami, 2003.
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Published
2019-11-21
How to Cite
Yeroshenko О., StepanіshchevaV., & Yeremenko О. (2019). Determining trends in the labour market. analysis and structuring of obtained information. COMPUTER-INTEGRATED TECHNOLOGIES: EDUCATION, SCIENCE, PRODUCTION, (36), 16-20. https://doi.org/10.36910/6775-2524-0560-2019-36-3
Section
Automation and Control
