一种动态兴趣管理方法的研究
Research of dynamic interest management
为了能够在分布式虚拟环境中尽可能的减少通讯量，使用户最大程度地可以及时获得最真实的感受，因而广泛采用兴趣管理方法。但是传统的兴趣管理数据过滤方法，在无关数据的过滤上仍有较大的余地。在基于兴趣层次的数据过滤方法基础上，对如何提高过滤效率进行了研究，提出了基于实体相似度并且依据用户兴趣变化而动态调整计算兴趣度的算法，实验证明该方法在一定程度上提高了数据过滤效果。
In order to reduce communications traffic as much as possible in distributed virtual environment and users could receive the most realistic feeling in time, therefore, interest management was widely used. But the traditional data filtering method in interest management still have a large space to improve. In this paper, based on the levels of interest, we put forward a method of dynamic adjustment algorithm for computing the degree of interesting based on entity similarity. Finally, experimental results show this method to some extent, improved data filtering effect.
王娅森
通信
动态兴趣管理数据过滤兴趣度兴趣层次
dynamic interest managementdata filteringdegree of interestlevel of interest
王娅森.一种动态兴趣管理方法的研究[EB/OL].(2011-02-23)[2025-08-24].http://www.paper.edu.cn/releasepaper/content/201102-578.点此复制
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