Design of Employment Recommendation System Based on Label Clustering and Collaborative Filtering Algorithm
As the employment pressure of graduates gradually increases,the state and society continue to make efforts.The state has issued a number of employment support policies,the social enterprise recruitment is also increasing.Under this back-ground,this paper designs a personalized employment recommendation system.The system is based on the Web application.The main functions include user registration and login,user selection of interested fields,job recommendation,job collection and view the detailed job content.The registration and login functions are implemented using Django's built-in Auth module.The database uses Sqlite3 in the Django framework.Job recommendation is realized by collaborative filtering algorithm based on user information and solved the problem of cold start by label clustering.The simulation results show that users can log in after registration and select the field they are interested,and then they can view the positions recommended by the system,which has a good effect.
万方数据
维普
