Master of Science (MS)
Digital communication has significantly reduced the time it takes to send a résumé, but the recruiter’s work has become more complicated because with this technological advancement they get more résumés for each job opening. It becomes almost impossible to physically scan each résumé that meets their organization’s job requirement. The filtering and search techniques provide hundreds of résumés that can fulfill the desired criteria. Most approaches focus on either parsing the résumé to get information or propose some filtering methods. Moreover, résumés vary in format and style, making it difficult to maintain a structural repository which would contain all the necessary information. The goal of this project is to examine and propose an approach which would consider the skill sets from the potential résumés, along with expertise domains like related work experience and education, to score the selected “relevant résumé.” This approach aims at highlighting the most important and relevant résumés, thus saving an enormous amount of time and effort that is required for
Saxena, Charul, "Enhancing Productivity of Recruitment Process Using Data Mining & Text Mining Tools" (2011). Master's Projects. 324.