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Susitharan R

Ex- Google Inc

Highly motivated and passionate fresher with a Bachelor’s degree in Computer Science. Comprehensive understanding of Core Java, SQL and other programming languages. Possesses developed interpersonal and communication skills. Ready to apply knowledge and innovate with the team to develop cutting-edge solutions.

Projects

skill and job recommendation

  • python
  • html
  • css
  • sql database

These are the systems that help us to select out similar things whenever we select something online. The concept of understanding a user's preference by their online behavior, previous purchases, or history in the system is called a recommender system. The need for a recommender system has grown from time to time. At First, Entertainment industries exploited the benefits of these systems. Then recommender systems were implemented in e-shopping businesses, online news, but very few companies have tried implementing it in the hiring process.

The results of job recommender system which are run in the python environment are presented. Recommender system is provided with the profile vector of user and item to generate a set of item as a recommendation to user in question. Profile vector of a user holds the information regarding the preferences of user on IT skill and domain specific information.

Whereas, profile vector of item holds the information regarding the skills and job domain that is required for that job. The purpose of this research was not only model a job recommender system using user's skill set and Job domain but also to address issue of cold start. To complete the research, we had set ourselves an objective which ease our way in completion of the research.