摘要
对无线网络用户资源的快速识别,能够有效提高网络用户信息的整合效率。对用户信息资源的识别,需要通过遗忘函数进行信息资源加权修正,根据修正结果对相似度进行计算,完成用户信息资源的快速识别。传统方法通过决策树对用户信息资源进行多次过滤,对网络信息的决策树进行更新,但忽略了对信息资源的加权修正。提出无线网络用户信息资源快速识别方法。将项目评分相似度和项目类别相似度结合,通过遗忘函数进行加权修正,根据加权修正后得到的评分值对相似度进行计算,反映了用户基本的偏好,提高了快速识别结果的精准度。通过因子分析法对每个项目进行聚类,降低项目向量维数,完成无线网络用户信息资源的快速识别。仿真结果表明,采用所提方法对无线网络用户信息资源进行快速识别时,得到的识别结果精准度较高、识别质量好。
The fast recognition of user resources in wireless network can effectively improve the integration efficiency of network user information. The traditional method updates the decision tree of network information, but ignores the weighted modification for information resources. Therefore, we focus on a method for fast identifying user information resources in wireless network. By combining the similarity of item rating with the similarity of item category, the weighted correction was carried out by forgetting function. Moreover, we calculated the similarity based on the score value obtained after the weighted modification, which reflected the fundamental preference of users and improved the accuracy of fast recognition results. Through factor analysis, we clustered each item to reduce the number of dimensions of item vector. Thus, we could complete the fast identification of user information resources in wireless network. Simulation results show that the proposed method has high accuracy and quality of recognition.
作者
梁婷婷
李春青
LIANG Ting - ting, LI Chun - qing(Lushan College, Guangxi University of Science and Technology Liuzhou Guangxi 545000, China)
出处
《计算机仿真》
北大核心
2018年第10期415-418,471,共5页
Computer Simulation
基金
广西重点培育学科(应用数学)建设项目(SXZD2016001)
关键词
无线网络
用户信息
快速识别
Wireless network
User information
Fast recognition
作者简介
梁婷婷（1983-），女（壮族），广西崇左人，硕士，副教授，主要研究方向：信息检索。;李春青（1983-），女（汉族），广西南宁人，硕士，讲师，主要研究方向：数据挖掘。
