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The work frames CV evaluation by splitting personal information from professional data and weighing criteria such as education, projects, publications, skills, and available technologies. When textual evidence is fuzzy or uncertain, it proposes combining a modified Boyer Moore algorithm with the RELIEF method to estimate candidate relevance numerically.",{"@graph":63,"@context":118},[64,80,101],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":51,"@type":70,"position":76},"https://docshare.wps.com/template/general/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/resume-searching-to-decide-best-candidate-based-on-relief-method-research-article/235053/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/resume-searching-to-decide-best-candidate-based-on-relief-method-research-article/235053.png","ImageObject",442,249,{"name":88,"@type":89},"Mimi","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-09-25","2026-09-11",true,{"@type":98,"interactionType":99,"userInteractionCount":47},"InteractionCounter",{"@type":100},"ViewAction",{"@type":102,"mainEntity":103},"FAQPage",[104,110,114],{"name":105,"@type":106,"acceptedAnswer":107},"Why is resume searching challenging for recruiters?","Question",{"text":108,"@type":109},"Recruiters must compare many resumes with different formats and may miss suitable candidates when information is scattered or inconsistently expressed.","Answer",{"name":111,"@type":106,"acceptedAnswer":112},"How does the paper suggest evaluating CV content?",{"text":113,"@type":109},"It divides CVs into private-information and professional-data blocks and evaluates criteria such as age, education, project participation, publications, and programming skills.",{"name":115,"@type":106,"acceptedAnswer":116},"What methods are proposed to handle uncertain or imperfect text?",{"text":117,"@type":109},"The paper proposes using a modified Boyer Moore algorithm together with the RELIEF method to reach the target under fuzzy or uncertain information.","https://schema.org",{"og:url":78,"og:type":120,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":122,"canonical":78},"index,follow",{"doc_id":124,"site_id":56},235053,1789093970,{"code":4,"msg":5,"data":127},{"doc_id":124,"user_id":128,"nickname":88,"user_avatar":129,"doc_module":9,"category_id":50,"category_name":51,"doc_title":59,"doc_description":61,"doc_content":130,"file_id":131,"file_url":132,"file_type":133,"file_size":134,"view_count":47,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":135,"language":136,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":137,"faqs":138,"seo_title":139,"seo_description":61,"update_tm":125,"read_time":76},2336477974920,"https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","Citation: Nasr S. , German O. (2020) Resume Searching to Decide Best Candidate Based on RELIEF Method. Open Science Journal 5(2)  \nReceived: 18th January 2020  \nAccepted: 6th April 2020  \nPublished: 10th June 2020  \nCopyright: © 2020 This is an open access article under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.  \nFunding: The author(s) received no specific funding for this work  \nCompeting Interests: The author have declared that no competing interests exists.  \nRESEARCH ARTICLE  \nResume Searching to Decide Best Candidate Based on RELIEF Method  \nSara Nasr 1 * , Oleg German 1  \n1Belarusian State University of Informatics and Radioelectronics, Belarus *Corresponding author: Sara Nasr: [sara.nasrh@gmail.com](sara.nasrh@gmail.com)  \n[Abstract:](Abstract:)  \nNowadays the number of people searching for work is increasing, and the number of university graduates is also getting more significant. Companies seeking a perfect job candidate for a person working in the informatics domain can be lost between different resumes with different formats and large quantities. Selecting the best curriculum vitae (CV) is considered a big step to help any company to decide whether a job seeker is suitable or not. The criteria that should be followed to check a CV is to divide it 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, knowing 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 evaluate them numerically. But in some cases, the information may be fuzzy or uncertain information, so for this reason, the use of the modified Boyer Moore algorithm and RELIEF method is proposed in this paper to reach the target.  \nKeywords: Resume, Job description search, Text with mistakes, Short text processing, Searching methods, Fuzzy text, Semantic blocks  \nIntroduction  \nIn general, when searching for some information in a text, the goal is to reach some specific business resolution. Searching CV’s for a particular data is one of the problems that online recruiters and many big companies are facing. It is not an easy job for such companies to mine through data of different types and  \nformats and between a large number of resumes. Previous studies had suggested a system to search for specific information even if it is not precisely stated in the resume. Thus, this study suggested using the modified Boyer Moore algorithm to get targeted information (1) . The suggestion is based on the existence of some mistakes in the resume when writing incorrect words without noticing the errors. Another reason for this suggestion is to combine different variations of the same word since they have the same meaning and explaining the same idea.  \nIn the following sections, the issues of fuzzy text and an explanation of how the modified Boyer Moore algorithm can be expressed will be discussed. Section 2 of the paper presents a brief description of the most common approaches for searching short texts and existing applicant tracking systems. Section 3 discusses the proposed method of extending the modern Resume Processing Systems. Section 4 explains the flow chart of the used algorithm and how the text shall be divided into blocks. It also describes the criteria on which the best resume should be selected. In the end, an overall conclusion shall be summed up in Section 5.  \nRelated Approaches  \nUsually, companies who need assistance in recruitment and in the hiring process use applicant tracking systems (ATS) to assist them. Of course, each of these systems may offer different features and may combine a group of elemen","cbCaib3nkazWrpbJ","https://ap.wps.com/l/cbCaib3nkazWrpbJ","pdf",673944,8,"English","# Abstract\n# Introduction\n# Related Approaches\n# Methodology and Proposed Method\n## Fuzzy text and algorithm description\n## Block division and selection criteria\n# Conclusion","[{\"question\":\"Why is resume searching challenging for recruiters?\",\"answer\":\"Recruiters must compare many resumes with different formats and may miss suitable candidates when information is scattered or inconsistently expressed.\"},{\"question\":\"How does the paper suggest evaluating CV content?\",\"answer\":\"It divides CVs into private-information and professional-data blocks and evaluates criteria such as age, education, project participation, publications, and programming skills.\"},{\"question\":\"What methods are proposed to handle uncertain or imperfect text?\",\"answer\":\"The paper proposes using a modified Boyer Moore algorithm together with the RELIEF method to reach the target under fuzzy or uncertain information.\"}]","Resume Searching to Decide Best Candidate Based on RELIEF Method - Research Article | PDF"]