Resume searching to decide best candidate based on RELIEF method

Sara Nasr, Oleg German


            Nowadays the number of people searching work is increasing and the number of university graduates is also getting larger. Companies searching for a perfect job candidate for a person working in the informatics domain may be lost between different resumes with different formats and big quantity. Selecting the best curriculum vitae (CV) is a considered a big step to help any company decide whether a job seeker is suitable or not. The criteria that should be taken into consideration is divided between a block of private information and another block of professional data. The blocks are based on age, education, participating in real projects, availability of published papers or research activities, possessing modern programming languages and technologies and so on. Selecting the perfect candidate needs an estimation based on a choice function similar to the utility function which weighs the different criteria and helps in evaluating them numerically. But since we may be dealing with some fuzzy or uncertain information we proposed the use of modified Boyer Moore algorithm and RELIEF method to reach the target.


resume; job description search; text with mistakes; short text processing; searching methods; fuzzy text; semantic blocks

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S. Nasr. , O. V. German, Assessment of Graduate Students’ Resumes Using Short Text Searching Method, IEEE Second International Conference on Artificial Intelligence and Knowledge Engineering, 2019, Volume: 1, Pages: 306-308

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Yu. O. German, O. V. German, S. Nasr, Information extraction method from resume, Proceedings of BSTU Scientific journal. (Minsk, Belarus).2019, 1(218), p.p.64–69.



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