AUTOMATION OF RESUME RECOMMENDATION SYSTEM USING NLP

Abstract

The rise ofdigilal communication and the spread of the internet has made an enormous impact in every industry. One such domain is the Hiring process, where a job seeker applies to a job by creating a profile on a job portal by providing all his/her work preferences. These work preferences of each user can be collected and provide recommendations whether a person is eligible for a specific job or not. I here had been-work done in this field, where researchers have implemented recommendation systems using the Hybrid filtering method as user data had previous interaction with item. Data acquired for our study has no previous interaction between the user data. When the whole world is coming back on its feet, those businesses affected by this Pandemic disease slowly tries to gain back the momentum it lost. Now is the time when the companies or businesses seek to invest in human resources, which would help tl to gain the momentum it lost during this period. When the governments across the world ask businesses to halt the operation in the effort of controlling the pandemic, many companies asked their employees to work remotely. In contrast, many other companies started to reduce their operational cost by terminating employees who were in permanent and contract roles. Naturally, we human tries to strive through all difficulties to serve the purpose of our life. A daily job provides a sense of purpose to an individual, and he tries to gel better at it, which results in leaving current employment and looking for a new one; this is a constant cycle of the hiring process. To serve the constant cycle of the hiring process, many job companies have iem come up with solutions for providing the job board. Here a seeker looks up for the job he would find relevant to him and apply for it. However, companies that are targeting these job seekers are finding it challenging to identify the job seeker’s skill or selecting best applicant for their company