Job Recommendation System using Resume Data Extraction |
Author(s): |
| Prof. Ashwini Bamanikar , PDEA COEM ; Ranjit S Jeve, PDEA COEM; Divya S Nair, PDEA COEM; Siddhi A Nalage, PDEA COEM; Rachana D Chavan, PDEA COEM |
Keywords: |
| OCR, Tokenization, Pattern Discover, Automatic Matching, Text Matching, Information Retrieval |
Abstract |
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Due to the increasing growth in online recruitment, traditional hiring methods are becoming inefficient. The extraction of structured information from applicant resumes is needed not only to support the automatic screening of candidates, but also to efficiently route them to their corresponding occupational categories. This assists in minimizing the effort required by employers to manage and organize resumes, as well as to screen out irrelevant candidates. We need to find a way to save the time of the students which they earlier spent on searching the companies and reducing the complexity of screening process. This will increase the productivity and efficiency of the overall process. The recommended results can achieve higher score of precision and recall, and they are more relevant with users preferences before. |
Other Details |
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Paper ID: IJSRDV7I80116 Published in: Volume : 7, Issue : 8 Publication Date: 01/11/2019 Page(s): 121-123 |
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