面向用户偏好的动态网页数据交互式查询算法  

Interactive Query Algorithm for Dynamic Web Page Data Based on User Preference

作　　者：赵红梅[1] 肖明[1] 白宇 王磊[1] ZHAO Hongmei;XIAO Ming;BAI Yu;WANG Lei(Center of Modern Educational Technology and Information,Heilongjiang Bayi Agriculture University,Daqing 163316,Heilongjiang Province,China)

机构地区：[1]黑龙江八一农垦大学现代教育技术与信息中心,黑龙江大庆163316

出　　处：《吉林大学学报（理学版）》2024年第2期417-422,共6页Journal of Jilin University:Science Edition

基　　金：黑龙江省教育厅高等教育教学改革研究项目(批准号:SJGY20200508);大庆市社会科学界联合会项目(批准号:DSGB2020084)。

摘　　要：为提高网页数据查询速度、精度及工作效率,提出一种面向用户偏好的动态网页数据交互式查询算法.首先,构建用户偏好模型,增加偏好组合的演化个体适应性,综合计算适配值;其次,为防止数据冗余和重复,基于兴趣相似性,分离相似度高的查询数据和重复数据,识别出网络数据的性质;最后,利用粒子群优化算法寻找最优的动态网页数据交互式查询方案.实验结果表明:在数据集基数影响下,该算法的查询结果集质量在0.95以上;在查询最大维数影响下,该算法的查询结果集质量在0.96以上,表明其查询使用时间短、结果集精度高、自适应能力强.In order to improve the speed,accuracy and efficiency of web data query,we proposed a dynamic web data interactive query algorithm based on user preferences.The user preference model was built to increase the evolutionary individual adaptability of the preference combinations,and the adaptive value was comprehensively calculated.Secondly,in order to prevent data redundancy and duplication,based on interest similarity,query data and duplicate data with high similarity were separated to identify the properties of network data.Finally,the particle swarm optimization algorithm was used to find the optimal interactive query scheme of dynamic web page data.The experimental results show that the quality of the query result set of the proposed algorithm is above 0.95 under the influence of the dataset cardinality,under the influence of the maximum dimension of the query,the quality of the query result set of the proposed algorithm is above 0.96,indicating that the proposed algorithm has short query time,high precision of the result set and strong adaptability.

关 键 词：用户偏好模型 动态网页数据 数据交互式查询 粒子群优化算法 空间维度 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]