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Automatic Resume Recommender System Using Artificial Immune Systems Approach

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Automatic Resume Recommender system Using Artificial Immune Systems Approach

Fatma Masooma Nigar Tel : +91-7398084314 Email: masoomanigar5@gmail.com

Department of Computer Science,Jamia Hamdard University, Delhi, India

Abstract:
In today’s competitive world people across the globe post resumes over various sites of different organizations. Huge amount of documented resumes get stored. The HR manager needs the best among the stored documented resumes. The outcome of this research is a proposed architecture for classification,retreivel of the best selected resumes for the HR based on the ideas and principles of artificial immune system. Based on the research an attempt is made to automate the HR resume selection process by building an automated resume recommender system using the concepts of information extraction and artificial immune system.

Keywords: Artificial immune system, information extraction, classification.

1. INTRODUCTION

In today’s e-world, many of the applications are automated to ease the task carried out with accuracy. Many organizations across the globe are flooded with hundreds of resumes every month. The task of the HR manager is to create a job based on some criteria and filter out the best suitable resumes among the repository. Since the HR are having rich text of huge data, a computational tool shall help to ease down the task for them.

This paper describes the initial stage in developing an automated resume filtering system by not altering the information in the document repositry.Though the job is full of challenges and needs other areas in depth knowledge.
The proposed model is based on the ideas inspired by artificial immune system. [2] This has some analogies to the human immune system. This paper begins with a

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