基于竞赛难度与能力提高的大学生竞赛定级方法

The Competition Ranking Method of College Students Based on the Difficulty of Competition and Ability Improvement

基于竞赛难度与能力提高的大学生竞赛定级方法通过问卷调查量化学生对竞赛难度与竞赛后能力提高的感受,运用迭代协同过滤算推荐算法来预测每个学生对竞赛的打分,合成了竞赛难度与竞赛后能力提高.进而结合竞赛综合性以及竞赛影响力,得到竞赛的综合分数.最后,利用Kmeans算法对各种竞赛的得分数聚类,最终实现竞赛定级.力求在竞赛定级时体现公平性、后效性、引导性以及合理性.

The competition ranking method based on the difficulty and ability improvement of the competition is built on surveying data about difficulty and ability improvement of the competition.Then,we reuses the collaborative filtering recommendation algorithm to predict the vacant survey data,and synthesize difficulty（and ability improvement）of the competition.Furthermore,the method gets the scores of competitions by considering the competition comprehensiveness and the competition influence as well.Finally,the competition is ranked by Kmeans clustering the scores of various competitions.The method considers the students feeling about the competition difficulties and the ability improvements after competition.It can reflect the fairness,guidance,after effect,and rationality of ranking method.