基于广义Choquet积分的职位推荐算法  

Job recommendation algorithm based on generalized Choquet integral

作　　者：陆佳雯 武频[1] 雷志丹 朱儒康 LU Jia-wen;WU Pin;LEI Zhi-dan;ZHU Ru-kang(School of Computer Engineering and Science,Shanghai University,Shanghai 200444,China)

机构地区：[1]上海大学计算机工程与科学学院,上海200444

出　　处：《计算机工程与设计》2021年第1期206-211,共6页Computer Engineering and Design

摘　　要：为解决传统职位推荐算法推荐结果范围小,无法对跨行就业率高的人群进行有效推荐的问题,提出基于人口统计学数据及广义Choquet积分的职位推荐算法。利用层次分析法构建用户信息层次结构模型,结合广义Shapley函数与离散Choquet积分,通过计算最优相似人群进行职位推荐。与传统模型实验对比,推荐模型在雷达招聘网站提供的数据集上准确率提高了8.35%,有效验证了其可行性和有效性。To solve the problem that the traditional job recommendation algorithm has a small range of recommendation results and cannot effectively recommend people with high cross-bank employment rate,a job recommendation algorithm based on demographic data and generalized Choquet integral was proposed.The hierarchical structure model of user information was constructed using analytic hierarchy process(AHP),and the position recommendation was carried out by calculating the optimal similar population combined with generalized Shapley function and discrete Choquet integral.Compared with the traditional model test,the accuracy of the proposed model is improved by 8.35%in the data set provided by the radar recruitment website,which verifies the feasibility and effectiveness of the proposed method.

关 键 词：推荐算法 人口统计学 广义Shapley函数 离散Choquet积分 层次分析法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]