GloVe Based Language Modelling for Job to Candidate Matching

Abstract

In the present era, technology has become very advanced. And we can say that now a days everything is online- based. we can also find jobs online. And online job market is widely known all over the world. As example, up work, fiver,freelancer.com are popular online job market. But whenever they offer any job opportunity, a lot of people drop their cv. So the client face problem to find the right worker for the job and end up getting poor quality than their requirement. Which is hampering the reputation of online job markets. I Have decided to make a ranking of the cv of the workers according to their skills.so that the deserving candidates can get fare chances and clients also get freelancers as per their desire. I have used two models here. they are word embedding and glove vector. I have read the literature review and learnt that the accuracy of the models is up to 98%. And they are easier to work with this process, clients and workers both will be satisfied and we will be able to save a lot of time. But we could not complete the work yet. We Only finished word embedding. But in future, we will make a ranking of the cv of workers.