A Framework of Graduate Employment Recommendation System and Key Technologies
Shi Shengbo, Hexin Lv · 2016
More and more websites have realized the importance of providing personalized recommendation by Recommendation System.As a supplement and improvement of Search Engine System, Recommendation System can be applied in the graduate employment websites to supply personalized employment guidance and recommendation to each graduate and improve the graduate employment service in China.In this paper, the main idea was to construct the framework and discuss the key technologies of Graduate Employment Recommendation System.Firstly, the graduate characteristic model, the recommendation model, and the recommendation rank and output model were discussed to construct the framework.Then, the key technologies such as graduate characteristic technologies, similarity algorithms, and neighbor selection mechanism were discussed to achieve the Graduate Employment Recommendation System.The experimental simulation result has shown that the recommendation system can be applied in graduate employment website and has a good performance.