深度挖掘匹配算法在毕业论文管理中的应用  

APPLICATION OF DEEP-DIGGING MATCHING ALGORITHM TO GRADUATION THESIS MANAGEMENT

作　　者：刘子超[1] 陆静[1] 

机构地区：[1]宁波大学科学技术学院,浙江宁波315212

出　　处：《计算机应用与软件》2011年第12期289-292,共4页Computer Applications and Software

基　　金：宁波大学科研基金项目(2009765)

摘　　要：为加快智能化管理系统在高校教学管理中的应用,必须依赖优良算法的支持。以典型的毕业论文管理为例,在分析如今许多高校的毕业论文管理系统的基础上,提出将深度挖掘匹配算法应用到毕业论文管理系统中。详细阐述该算法如何通过对课题属性和选题学生要求的设置,使得学生对课题的选择相对分散,从而大大提升课题与学生的匹配成功率。然后通过进一步挖掘剩余学生潜在的志愿信息,实现与剩余课题间的匹配。最后,通过实验将其与不基于该算法实现的结果进行对比,进一步验证该算法的优越性。To accelerate the application of intellectualized management system to college educational management,the support by an excellent algorithm is required.Taking a typical graduation thesis management as an example,on the basis of analyzing graduation thesis management systems in a number of colleges,it is proposed to apply the deep-digging matching algorithm to the graduation thesis management system.The algorithm is elaborated on how to disperse students＇ selection of thesis topics by thesis topic attributions and students requests configuration,so that the matching success rate between thesis topics and students is significantly improved.Then by further digging the remaining students＇ potential selection information,it is realized to match them with the remaining thesis topics.Finally,experiment results that with or without the proposed algorithm are compared to further validate the advantage of the algorithm.

关 键 词：智能化 毕业论文 深度挖掘 匹配算法 

分 类 号：TP312[自动化与计算机技术—计算机软件与理论]