The Study And Design Of Employment Recommendation System Of Vocational Colleges Graduates

At present, there are a total of 1280 vocational colleges across our country, and the number of students is increasing year by year, and the employment pressure of the graduated students is more and more big. Taking Yongzhou Vocational and Technical College as an example, the author of this paper designed and developed the paper "The Higher Vocational College Graduates’ Employment Recommendation System", to recommend more reliable information of employment by improving employment recommendation algorithm for graduates, and it can also save time and effort to find jobs and a suitable employment unit and provide important reference basis.According to the uniqueness of higher vocational colleges, the author of this paper thinks that the main research contents and innovation points are as the following:1. The author analyzes the related technologies of the recommendation system and designs the Higher Vocational College Graduates’ employment recommendation system.2. The author chooses an improved recommendation algorithm based on content and historical information to recommend employment. He classifies the objects of employment based on the employment professional counterparts of vocational college graduate students, and then makes recommendations. It means that before the similarity calculation and recommendation, we should clustering analyzes corresponding and alumni of new and previous graduates according to professional, then according to professional employment recommendation, so as to improve the efficiency and quality of the recommendation. Higher vocational college students’ comprehensive quality and employment ability is mainly embodied in the professional skills, professional quality, and adapting to the environment, etc., so in the process of the design of the algorithm it respectively includes text characteristics and calculation of the value attribute of the attribute, and considering the influence of students graduation time for similarity, it sets different weights for different time to ensure the calculation accuracy and reliability of the results. At the same time, higher vocational college students’ choice of the employment unit and position has certain representativeness, and considering the higher proportion of previous graduates’ employment, the author of the paper considers the effects of employment history information on employment recommendation algorithm.3. According to the principle of collaborative filtering recommendation algorithm, we define the graduate students as the user, and the employment unit as the project to achieve the better docking and application. And the author also analyzes the application of traditional collaborative filtering recommendation algorithm based on user in the employment system. Meanwhile, he fully considers the student interest of employment, access to new graduates leaving the browsing behavior of this system, and browse content data for data mining. Finally the results are involved in the final similarity calculation to ensure that the final recommended the rationality of the results and foresight.4. The author analyzes the accuracy, recall rate, root mean square error as the standard of the recommendation algorithm, and tries to improve the content and historical information recommendation algorithm based on the traditional user collaborative filtering recommendation algorithm, and to compare and analyze the recommendation of the results based on user collaborative filtering recommendation algorithm. At the end of this paper, the author summarizes and prospects the research.The development of the system can be directly applied to Yongzhou Vocational and Technical College’s graduate employment management and recommend works, so it has strong practical application value.