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   过滤模板 在 计算机软件及计算机应用 分类中 的翻译结果: 查询用时:0.012秒
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过滤模板
相关语句
  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
    Second it combines the users' cooperation andcontent filtering to realize the multi-user cooperation by the means of users feedback and makeadjustment to content filtering profile by the feedback information.
    其次,将用户协作与内容过滤结合,采用用户反馈的方式实现多用户协作,用反馈信息对内容过滤模板作出调整;
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。
短句来源
    The key to content-based text filtering consists in constructing an effective filtering profile.
    基于内容的文本过滤关键在于建立有效的过滤模板
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
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  “过滤模板”译为未确定词的双语例句
    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。
短句来源
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  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%.

Text filtering is the procedure of retrieving documents relevant to the requirements of specific users from a large-scale text data stream.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.During the filtering phase,user feedback is utilized to modify the profiles and...

Text filtering is the procedure of retrieving documents relevant to the requirements of specific users from a large-scale text data stream.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.During the filtering phase,user feedback is utilized to modify the profiles and thresholds adaptively.

文本过滤是指从大量的文本中寻找满足用户需求的文本的过程。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;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,以获得最佳的过滤性能。

 
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