关键词过滤

所谓信息过滤技术就是通过IP过滤，URL过滤、关键词过滤、图像过滤、模板过滤、智能过滤等手段，对互联网用户进行信息安全审计管理和访问控制的技术。

The so-called information filtering technique is the censorship management and the technology of controlling internet visit through IP filtering , URL filtering , keyword filtering , image filtering , template filtering , intelligence filter etc.

该模型把URL过滤和文本关键词过滤二种技术相结合。

This model combines the URL filtering and text keywords filtering technic , discusses how to improve the classical filtering algorithm and the parameter value .

他们希望大量包含敏感信息的数据流能够堵塞关键词过滤系统。

They hope the volume of dirty traffic will clog up the keyword filters .

如果网站中并没有现成的页面可匹配，那你首先要检查一下关键词过滤是否出了问题；

If you don 't have an existing page on your site , you should first consider the filter in no.

分析了具有相对固定格式和术语的知识源，设计了适用于这类知识源的电子文本知识挖掘的步骤，即：关键词过滤截词专家确认；

The knowledge source which have relative stable form and glossary is analyzed , and the data mining step for this kind of knowledge is designed , viz . filter by key word-intercept-field specialist confirm .

您可以扩展shell脚本，根据一些关键词进行过滤，使之只显示包含某些单词或短语的状态更新。

You can extend the shell script by filtering for certain keywords , so that it shows only the status updates that have certain words or phrases in them .

这样，对某一特定查询来说，在选择关键词和过滤掉无关信息方面可以节省不少时间。

It can save time in choosing keywords and filtering irrelevant information for a given query .

通过采用低频率关键词事务过滤方法，过滤达不到频繁要求的频繁项，使挖掘算法更具有针对性。

By the use of Low-frequency Keywords Filtering , filtering unfrequent items in streams , the mining algorithm has been more targeted .

采用信息频道作为用户兴趣的基本表示，并实现在频道下针对用户输入关键词的信息过滤模式。

We adopt information channel as the basic representation of users ' interests , and implement an information filtering schema in the channel directing at users ' input keywords .

同时该方法整合了多项垃圾短信过滤技术（黑白名单、关键词及内容过滤技术），该方法较之单一的过滤方法准确率和效率上有很大的提高。

Three kinds of filtering technology ( black / white list based , key words based , content based ) are implemented on junk short message filtering method , which increase the efficiency very significantly . The accuracy is also greatly improved compared with a single filtering method .

分析了在系统中项目的内容信息不够丰富的情况下，如何应用基于项目关键词预测与协同过滤技术相结合的问题。

Analyze the combination problem of item keywords based prediction and collaborative filtering when item keywords information is not adequate .

该算法在Apriori算法基础上进行了改进，增加了邮件源地址和关键词约束，与基于关键词过滤算法相比提高了准确率，与基于语义分析的过滤算法相比降低了算法复杂度。

Adding restraints of source addresses and key words , the algorithm is improved on the basis of Apriori algorithm . The algorithm is more accurate than the e-mails filtering algorithms based on key words , and its complexity is less than the algorithm based on semantic analysis .

首先通过实验验证关键词具有的一些特征并介绍了常用的关键词的过滤方法。

Firstly , some characteristics of the key phrases and the methods for filtration are verified by experiments .