Career and skills recommendations using data mining technique
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Date
2017
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
University of Management and Technolog
Abstract
Nowadays, recommendation systems are commonly used by the people for finding the products which best match with their individual preferences. In the context of professionand recommendations, a lot of recommendations systems are available on the internet for the help of jobseekers. The systems are performing well and generating job recommendations for people jobs but they have some serious problems that are faced by jobseekers in Pakistan. They are not much intelligent, require a lot of user's time in filling long forms for registration so that they can get recommendations. Moreover they do not give suggestions that which skills will be suitable for a specific profession. A user must has to spend too much time for applying a job and still he doesn't know the skill that is more valuable for him and is it the best job for his skills on which he is going to apply? The problem is that people are not clear in which field they should start or switch working. Actually there is a point that first of all one should be clear about his/her profession and important skills regarding selected professionin which he/she wants to start a career,then he/she should start finding job related to the selected profession.Based on above issues, there is a need to design such a system that can overcome the problem of profession selection and skills suggestions so that it can be easy for a jobseeker to apply for a specific job. In this research, the problem which is discussed above regarding profession and skills recommendations is resolved by proposing a model by using Association Rules Mining, a data mining technique. In this model, professions are recommended to job seekers by matching the profile of applicant or job seeker with those persons who have same profile like educational background, professional skills and the type of jobs which they are doing. The data collected for this research itself is a major contribution as we collected it from different sources. We will make this data publically available for others so that they can use for further research
Description
Supervised by: Dr. Malik Tahir Hassan
Keywords
Important skills regarding selected professionin, Association Rules Mining,, MS thesis