Open AccessRecruitment Search Engines for Screening Resumes through AI by Using Boolean Search Functions
Author(s) -
Sunaina Arora,
Nilisha Kumari
Publication year - 2021
Publication title -
journal of asian development
Language(s) - English
Resource type - Journals
ISSN - 2377-9594
DOI - 10.52941/jad.v7i2.23
Subject(s) - computer science , set (abstract data type) , filter (signal processing) , search engine , aside , information retrieval , focus (optics) , world wide web , data science , art , literature , computer vision , programming language , physics , optics
The days are gone when hard copies of resumes were sent to recruiters and they used to screen and set aside non relevant resumes. Artificial Intelligence has taken up mundane tasks of recruiters by simplifying search algorithms and human computer interaction. Job Boards provide recruiters with a database of candidates powered by a search tool with lot of filters. The demonstration paper actually carries out searches on recruitment database access tools to filter the relevant applicants from a wide pool of data with the help of search engine tools in resume databases of various jobboards. It shows how Boolean operators get through better search results in few minutes. Recruiter job to get to the right candidate is sorted out with Artificial Intelligence so that they can focus more on strategic tasks. Future of AI in recruitment is immense. Already companies are empowering recruiters with 360 degree tools which help with all Human Resource Aspects.