最后，对信息过滤算法进行设计。
在协同过滤中，提出基于分类的协同过滤算法。
This paper puts forward an model based on classify in collaborative filtering.
最后介绍了贝叶斯过滤算法反垃圾邮件的基本步骤。
Finally introduced the fundamental step of filtering spam mail with Bayesian algorithm.
然后通过过滤算法根据用户的反馈信息自适应地调整模板和阈值。
Then user feedback is utilized to modify the profiles and thresholds adaptively through filtering algorithm.
针对协同过滤中的数据稀疏问题，提出了一种基于粗集的协同过滤算法。
Aiming at the problem of data sparsity for collaborative filtering, a novel rough set-based collaborative filtering algorithm is proposed.
本文提出了利用协同过滤算法来挖掘客户最可能喜欢的商品项目的方案。
We propose a collaborative filteringCRMalgorithm to mine the most possible commodity item that the customer is most favorable.
采用消息过滤算法可以在支持对象模型的多级安全系统中实现强制访问控制。
Message filter algorithms can implement mandatory access control in the multilevel secure systems with an object oriented model.
智能信息推荐系统能够通过用户偏好，利用信息过滤算法主动剔除无关信息。
Intelligent information recommending systems can kick out user-useless information using filtering algorithms and user's profile.
在传统过滤算法的基础上，本文提出一种基于向量空间模型的自适应过滤算法。
Based on tradition filtering algorithm, an adaptive filtering algorithm based on vector space model is proposed in the paper.
目的设计基于DTW的高效过滤算法，提高时间序列数据流的过滤查询的效率。
In order to improve the efficiency of filtering algorithms for time series data stream, this paper proposes a new more efficient streaming time series query filtering algorithm for DTW.
实现以相同的过滤算法、查询优化算法在DBMS内核处理空间与非空间数据。
Finally, it realizes with the same percolation, searches the optimization calculate way inside the DBMS kernel, and handles the spatial and non-spatial data.
提出一种新的协作过滤算法，采用概率形式，即预测用户喜欢商品的概率来推荐。
A new algorithm is proposed, which USES a probability value as the output showing the chance that a user might like an item.
实验表明，基于资源语义的协同过滤算法相对于传统协同过滤算法可提高推荐性能。
Experimental results indicate that the algorithm can achieve better prediction accuracy and provide better recommendation results than with the traditional CF algorithms.
本文研完了几种常用的垃圾邮件过滤算法，分析了它们在中文邮件环境中存在的问题。
In this paper, several popular algorithms for filtering spam are studied, and some problems involved when they are employed in Chinese email environment are analyzed.
实验结果表明，IAPCF算法比传统的基于项目的协同过滤算法具有更好的推荐精度。
The experiment results suggested that IAPCF could provide better recommendation results than the traditional item-based collaborative filtering algorithms.
实验结果表明：基于稀疏矩阵划分的个性化推荐算法在算法性能上优于传统协同过滤算法。
Moreover, compared traditional collaborative filtering method, the experimental results show the effectiveness and efficiency of our approach.
但由于传统的协同过滤算法没有考虑项目多内容问题，存在项目多内容情况时推荐质量较差。
Unfortunately, traditional collaborative filtering algorithm does not consider the problem of item's multiple contents and often leads to bad recommendation when item has multiple contents.
接着分别针对径向基核函数和多项式核函数进行多次实验，分析这两种核函数对过滤算法的影响。
Then, experiments with the radial basic function and the polynomial kernel function are used to reveal the relationship between kernel functions and the filter algorithm.
为了有效地解决协同过滤算法中新项目难以推荐的问题，文中提出了一种对项目矩阵进行划分的方法。
To efficiently resolve the problem that the new item is difficult to recommend in collaborative filtering algorithm. In this paper we propose a new method based item matrix partition.
重点介绍了一种叫做信息接种的协作过滤算法，它使邮件用户实现协作，提高垃圾邮件过滤器的准确率。
We gives a collaborative algorithms named message inoculation which make the mail users sharing information so as to improve the accuracy of a filter.
该方法包括高效的“二元语法”统计模型、统计算法、统计选词策略、丰富的规则知识和规则过滤算法。
This method includes the "bi-gram" probabilistic model, the statistical algorithm, the rich rules and rule-based algorithm for word filtering.
在对传统的深度包过滤算法研究的基础上，提出了一种新的基于标示预处理的模式匹配算法，并予以实现。
On the base of the studies of traditional In-depth packet filter algorithms, a new algorithm of Pattern matching based on the pre-processed mark is put forward and realized.
实验结果表明，改进的协作过滤算法优于基于用户的协作过滤算法；结合两种过滤技术后的系统具有更好的性能。
The results of experiment prove that improved filtering algorithm is better than user-based filtering algorithms and combined filtering approach has better system performance.
该文介绍了一种文本过滤算法，该算法把基于空间向量模型的主题分类算法与基于支持向量机文本态度分类结合起来。
This paper introduces a text filtering system merging topic classification based on vector space model and sentiment classification based on support vector machine.
主要工作包括短信语料的采集和分析、过滤系统的研究设计、核心过滤算法的选择和实验、实验系统的搭建和测试等。
The whole research included the corpus collection and analysis, filtering system designing, the key filtering algorithm selection, experiment system developing and testing etc.
基于内容的过滤算法大多数是基于向量空间模型的算法，其中广泛使用的是朴素贝叶斯算法和K最近邻（KNN）算法。
Most of the content-based filtering algorithms are based on vector space model, of which Naive Bayes algorithm and K-Nearest Neighbor (KNN) algorithm are widely used.
为了对我们提出的改进的协作过滤算法和结合过滤方法进行评价，我们研制了一个中文计算机科技文献自动过滤原型系统。
In order to evaluate our new collaborative filtering algorithm and combined approach, we have developed a Prototype System for Chinese computer science literature automatic filtering.
基于此不足，在用户聚类协同过滤算法的基础上进行了改进，其基本思想是在基于用户聚类的基础上研究用户多兴趣的表示。
To address this problem, a collaborative filtering based on user clustering strategies to improve the basic idea is the basis of user-based clustering of users and more interested in that.
亚马逊把这套自主研发的算法称为“从项目到项目的协同过滤算法”。依靠这套算法，亚马逊向回头客们提供了深度定制的浏览体验。
Amazon (AMZN) calls this homegrown math "item-to-item collaborative filtering," and it's used this algorithm to heavily customize the browsing experience for returning customers.
针对传统的基于特征码的病毒过滤算法在实际运行中存在的效率问题，提出了一种基于矩阵型布鲁姆过滤器(MBF)的病毒过滤算法。
Concerning the inefficient problem of traditional signature-based virus filtering algorithm in practice, a novel virus filtering algorithm based on Matrix Bloom filter (MBF) was proposed.
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