一种用于文本分析确定职位相似度的混合机器学习方法

2021 15th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS) Pub Date : 2021-10-20 DOI:10.1109/TELSIKS52058.2021.9606341

E. Mankolli, V. Guliashki

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引用次数: 2

摘要

介绍了一种基于两种机器学习方法(k-NN和SVM)相结合的混合方法。这种新颖的方法是根据职位描述和行业来查找相似的职位。这种方法提高了一个复杂过程的准确性和时间效率，比如为一份工作选择最佳候选人。

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A Hybrid Machine Learning Method for Text Analysis to Determine Job Titles Similarity

This paper introduces a hybrid method based on the combination of two machine learning methods (k-NN and SVM). The novel method is designed to find job titles that are similar based on their description and industry. This method improves the accuracy and time-efficiency of a complex process like selecting the best candidates for a job.

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来源期刊

2021 15th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS)

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