user interest

Based on Web usage mining of Web log, the user interest rate is proposed by using the relativity of the pages accessed by users, which is applied in the data preparation and page recommendation of remote education.

基于日志的Web使用挖掘，利用用户访问页面的相关性提出用户兴趣度，并应用于远程教育中数据准备和页面的推荐过程。

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Web Services Discovery Based on User Interest

基于用户兴趣的Web服务发现

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A user clicks on a story of interest and reads and optionally uses the Web-based voting and commenting system.

在这里，用户不但可以通过单击标题阅读感兴趣的新闻故事，还可以选择使用网上投票和评论系统对新闻发表意见。

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However, this assumption may not be true practically on situations, so the property-related concepts and user interest degree was introduced, and the impact of two algorithm was analyzed.

C4.5算法得以实施的前提是假设属性间是无关联的，相互独立，但从实际情况看来，这个假设不一定成立，于是引入属性相关性概念和用户兴趣度，分析这两者对算法的影响。

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Through analyzing the behavior of the user in using search engine, this paper puts forward a method of computing the page interest degree based on page browsing speed.

通过分析用户在使用搜索引擎时的行为特征，采用基于用户浏览速度的兴趣度计算方法。

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This framework mainly contained the functions of human-computer interaction, user interest learning, system data management, information search, agent collaboration and so on.

设计了一种基于Agent元搜索引擎的个性化推荐系统的框架，包含人机交互、用户兴趣学习、系统数据管理、信息搜索、多Agent协同等功能。

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Thirdly, we have developed a mean of information search and filtrate on user's interest.

提出面向用户兴趣的信息搜索和信息过滤方法；

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The portlet displays a form which lets the user submit principal, interest rate, and number of years.

portlet显示一个表单，它让用户提交本金、利率和年数。

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IMDb said its user interest stayed steady through some mixed reviews on the third season, keeping "Westworld" in the IMDb MOVIEmeter Top 10 for its entire eight-week run.

IMDb表示，他们的用户虽对这一季内容评价不一，但都还保持了一定的兴趣，这也是让其连续八周成为IMDb MOVIEmeter Top10榜单的常驻。

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This method effectively solves the selfadapting changes of user's interest by using information of viewing literature.

该方法主要利用了用户浏览文献页面的信息，有效地解决了用户兴趣的自适应变化。

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In this paper, we use the news source based on RSS and cluster all the news into several User Interest Classes ( UIC) according to user's clicks or other implicit information, by using the judgment of text comparability.

该文针对基于RSS标准的新闻源，根据用户点击等隐式信息，通过文本相似判定，自动聚类形成用户兴趣子类。

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RESULTS& CONCLUSION: This system is in the interest of both patients and medical staff, and it is characterized by friendly user interface, quick inquiry and easy input, with which pharmacists can quickly access to accurate dispensatory information with great convenience.

结果与结论该系统界面整洁、输入简单、查询灵活，有利于药师方便、准确、及时地掌握药品说明书信息，更好地为患者及医务人员服务。

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According to the users navigation history and the concept relations living in the HowNet, a user interest forest model based on the relative relations of concepts is constructed.

根据用户的访问历史，利用知网建立基于概念关系的用户兴趣森林模型。

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User Interest Tracing Based on Dynamic Categorizing of Accessed Web Pages

基于受访Web页动态分类技术的用户兴趣追踪

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Lastly, the deep work of this paper is that developing the validity of user interest model, and applying it into the recommendation.

本文进一步的工作将致力于用户兴趣模型准确性的提高，并将得到的用户兴趣模型应用于个性化系统的推荐服务。

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Finally, the hybrid recommendation algorithm is tested in application data. Experimental results verify the introduction of user interest model to the Slope One algorithm can effectively improve quality of recommendation and solve the cold start of new items.

最后通过在应用数据下对本文的算法进行了实验，实验结果验证了引入用户兴趣模型到Slope One算法中可以有效地提升推荐质量，并能很好的解决新项目问题。

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Experimental results show that the system gains better recommendation accuracy and can dig deeper for getting user interest to meet user preferences, overcoming the problem of poor quality recommendations in large measure.

实验结果显示该系统的具有较好的推荐准确率，它能够较深层次地挖掘用户兴趣迎合用户偏好，在很大程度上克服了推荐质量低下的问题。

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By the close and direct collaboration of every module, this system framework effectively combine agent, meta search engine, user interest model and so on together, in order to provide more accurate demand information for users according to the customized personalized model of user behavior.

各个模块直接紧密协作，有效的将Agent、元搜索引擎、用户兴趣模型等联系在一起，从而更好地根据用户行为定制个性化模型，为用户提供更加精准的需求信息。

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