摘要
针对目前的互联网媒体深度信息分析方法忽略了用户之间的相关关系和相互影响,导致分析结果不够精确的问题,针对互联网媒体的海量数据,提出了一种兴趣偏移校正的互联网媒体深度信息分析模型。首先分析社交网络环境下用户兴趣多元化的特点,结合用户受其它成员的影响而发生的兴趣偏移的情况来建立用户兴趣模型,然后再结合用户社区兴趣最终得到完整的用户兴趣模型。实例仿真实验结果表明,结合评价指标发现,该方法在深度信息分析结果中具有很好的性能。
In view of the current Internet media depth information analysis method ignores the correlationbetween the user and the mutual influence,resulting in the analysis results are not accurate enough,forthe Internet media mass data,proposed an interest offset correction of the Internet media depthinformation analysis model.Firstly,it analyzes the characteristics of user interest diversification in socialnetwork environment,establishes the user interest model based on the situation of user's interestdeviation caused by other members,and then obtains the user interest model with user communityinterest.The simulation results show that the proposed method has a good performance in the depthinformation analysis results.
作者
张凤来
杨秋芬
Zhang Fenglai;Yang Qiufen(Office of Educational Administration,Hunan Radio and Television University,Changsha Hunan 410004,China;Science and Technology Education Department,Hunan Radio and Television University,Changsha Hunan 410004,China)
出处
《科技通报》
北大核心
2017年第9期85-88,共4页
Bulletin of Science and Technology
基金
湖南省社科基金省情决策咨询课题(16JCC076)
