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过滤模板
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  filtering profiles
     Techniques of improving filtering profiles in content filtering
     内容过滤中过滤模板的改进技术研究
短句来源
     During the training phase, feature selection and pseudo feedback are used to select the initial filtering profiles and thresholds.
     在训练阶段,通过特征抽取和伪反馈建立初始的过滤模板,并设置初始阈值;
短句来源
     This paper presents a detailed illustration of a text filtering algorithm based on vector space model which is composed of two phases-training and adaptive filtering. During the training phase,feature selection and pseudo feedback are used to select the initial filtering profiles and thresholds.
     本文详细地论述了基于向量空间模型的文本过滤算法,该算法由训练和自适应过滤两个阶段组成,在训练阶段,通过主题处理和特征抽取建立初始的过滤模板,设置初始阈值;
短句来源
  filtering profile
     Method of Filtering Profile Extraction Based on Concept Learning
     基于概念学习的过滤模板获取方法
短句来源
     An effective filtering profile can debase the request from the whole text filtering system to the machine learning mechanism and improve filtering efficiency of system.
     一种高效的过滤模板可以降低整个文本过滤系统对机器学习机制的要求,提高系统的过滤效率。
短句来源
     The method improves the find-maximum-special-supposion algorithm in the methods of concept learning by combining the need for dealing with the text feature items and constructs filtering profile from a few training texts by using the new algorithm.
     该方法结合处理文本特征项的需要改进了概念学习方法中的寻找极大特殊假设算法,并应用新的算法从给定的少量训练文本中提取用户过滤模板
短句来源
     The result of experiments shows that,compared with the method which uses the subject-description as filtering profile straight,this method improves filtering precision markedly,and it can obtain the satisfying filtering purpose.
     实验结果表明,与直接使用主题描述作为过滤模板的方法相比,较大地提高了过滤精度,可以达到比较令人满意的过滤效果。
短句来源
     3. This dissertation brings forward a method of constructing filtering profile.
     3.提出了一种基于概念学习的过滤模板获取方法。
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  “过滤模板”译为未确定词的双语例句
     Firstly, this article analyses the characteristic of the alarm data of telecommunication network in detail and minutely clarifies the common methods of alarm relativity analysis and association rule mining algorithm.
     其次,在比较现有告警关联分析方法后,探讨了如何采用数据挖掘技术获取告警关联规则,并在此基础上构建告警过滤规则知识库,以及各告警过滤模板的知识表示和知识获取更新方法。
短句来源
     This system has adaptive improved the tradition information filter system by modifying the arithmetic of filter template. It can change the threshold adaptive according to user's feedback.
     本系统对传统的信息过滤系统进行了自适应改进,通过修改过滤模板算法,让系统根据用户的反馈信息,自适应地调整阈值,达到提高过滤质量的效果。
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  filtering profiles
In our TREC-8 routing experiments, we employed a collaborative (or social) filtering algorithm, based on latent semantic indexing which highlights common term usage patterns among groups of filtering profiles.
      
Like ranking profiles, filtering profiles may also be specified by either document users or providers.
      
The database tables in the schema implement the tables for representing ranking or filtering profiles described in Section 4 and 5.
      
The options listed in the selection field are all the ranking or filtering profiles defined in the system.
      
  filtering profile
Figure 7 shows a result page that indicates which ranking or filtering profile has been used in deriving the search.
      
In practice, a filtering profile used for performing a filtering task may need to contain a set of filtering rules.
      
The user may correct the filtering profile by providing relevance feedback on the retrieved documents.
      
When designing a narrow-band fiber filter a challenge is to achieve a given filtering profile at a target wavelength.
      


The paper presents the text filtering model based on clustering in order to help users search the texts related to their interests on the internet. Its main idea is shown as follows: Under the hierarchical categories pre\|arranged by the model, it applied the query expansion approach to the user profiles based on the co\|occurrence matrix, and then it divided the expanded user profiles into several classes by clustering analysis. In the course of matching texts and user profiles, it first pushes the texts to...

The paper presents the text filtering model based on clustering in order to help users search the texts related to their interests on the internet. Its main idea is shown as follows: Under the hierarchical categories pre\|arranged by the model, it applied the query expansion approach to the user profiles based on the co\|occurrence matrix, and then it divided the expanded user profiles into several classes by clustering analysis. In the course of matching texts and user profiles, it first pushes the texts to the relevant profile classes, and it ranks the texts according to the similarities between texts and user profiles. The experiments show that it remarkably improves the efficiency of the text filtering.

为了帮助用户在因特网上搜索感兴趣的在线文本 ,提出了基于聚类的文本过滤模型 .其基本思想是 :在预定的层次目录之下 ,根据用户给出的过滤模板进行动态扩张 ,以便于全面地反映用户信息需求 .然后 ,通过对扩张模板的聚类分析 ,使得每一类由表达相同或相近兴趣的用户模板组成 .匹配时 ,先将文本推送到相应的模板类中 ,再计算与具体模板的相似度 ,获得最终的匹配结果 ,以提高过滤效率

Text filtering is the procedure of retrieving documents relevant to the requirements of specific users from a large-scale text data stream. First, the TREC (text retrieval conference) as well as its text filtering track are introduced, which is the most authoritative international evaluation conference on text retrieval, from the aspects of tasks, topics, corpus and evaluation metrics. Then a text filtering system based on vector space model is presented. This system is composed of two phases of training and...

Text filtering is the procedure of retrieving documents relevant to the requirements of specific users from a large-scale text data stream. First, the TREC (text retrieval conference) as well as its text filtering track are introduced, which is the most authoritative international evaluation conference on text retrieval, from the aspects of tasks, topics, corpus and evaluation metrics. Then a text filtering system based on vector space model is presented. This system is composed of two phases of training and adaptive filtering. During the training phase, feature selection and pseudo feedback are used to select the initial filtering profiles and thresholds. During the filtering phase, user feedback is utilized to modify the profiles and thresholds adaptively. This system took participate in the 9th Text Retrieval Conference in 2000, and ranked high among all the 15 systems from many countries. Good performance has been achieved, where the average precisions of adaptive and batch filtering are 26.5% and 31.7% respectively.

文本过滤是指从大量的文本数据流中寻找满足特定用户需求的文本的过程.首先从任务、测试主题、语料库和评测指标等方面介绍了文本检索领域最权威的国际评测会议——文本检索会议(TREC)及其中的文本过滤项目,然后详细地描述了基于向量空间模型的文本过滤系统.该系统由训练和自适应过滤两个阶段组成.在训练阶段,通过特征抽取和伪反馈建立初始的过滤模板,并设置初始阈值;在过滤阶段,则根据用户的反馈信息自适应地调整模板和阈值.该系统参加了2000年举行的第9次文本检索会议的评测,取得了很好的成绩,在来自多个国家的15个系统中名列前茅,其中自适应过滤和批过滤的平均准确率分别为26.5%和31.7%.

Content filtering in network security need seek a balance between the filtering precision and instantaneity. This paper constructs the structure of content filtering system that can implement content filtering function. And, we put forwards a new machine learning method used as improving filtering profiles. We can prove by Markov model that this method can ensure the initial filtering profiles will converge gradually at authentic profiles. So, the filtering precision will be constantly increased.

网络安全中的内容过滤需要在过滤精度与实时性之间寻求平衡,本文首先建立了内容过滤系统的体系结构,它能够实现内容过滤功能。在此基础上,提出了一种对过滤模板进行改进的新的机器学习方法,利用马尔可夫模型可证明此方法能保证初始过滤模板在学习过程中逐渐收敛于真实模板,从而不断提高过滤精度。

 
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