Implementation of system for college students’ career planning based on user interest model

Abstract In order to help users discover their real interests, and recommend positions and tasks that match their interests scientifically and accurately, the system is different from most of the ability enhancement and job-hunting system on the market. This system relies on artificial intelligence technology, and we design the function of long-term companionship and personalized solutions to help users find the career direction they are interested in, and push tasks periodically according to the recommendation algorithm to help users improve their vocational skills, ultimately to help college students to identify what they really like and rapidly improve their ability.