Web使用记录挖掘在电子商务网站中的应用     

刘林东 《广东教育学院学报》2008,28(5):84-87

将Web使用记录挖掘技术应用于电子商务网站中．以Web log文件作为数据源,通过聚类算法以及浏览兴趣模式算法实现对用户日志进行挖掘,得出用户浏览兴趣度模式,实现兴趣模式的表示,并最终提供电子商务网站个性化访问服务,很好地改进了电子商务网站的营销策略,有效地促进电子商务的发展．  相似文献   

复杂报表的高效查询     

陈建辉  黄朝辉 《宜宾学院学报》2008,8(6)

复杂报表由于要对系统中大量数据进行查询、统计、分析和汇总,需要占用较多的时间,如果没有进行优化,那响应的时间将是无法接受的。而减少访问数据表的次数,是提高报袁旷生效率的重要方法。结合前台开发工具和后台数据库的特性,恰当设置分组,利用数组保存报表设置参数和中间结果,巧妙利用数据库的特色函数,设计出高效查询的程序段,以达到访问数据表一次就完成统计任务的目的。  相似文献   

Knowledge based collection selection for distributed information retrieval     

Baoli Han  Ling Chen  Xiaoxue Tian 《Information processing & management》2018,54(1):116-128

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Acquiring knowledge about human goals from Search Query Logs     

Markus Strohmaier  Mark Kröll 《Information processing & management》2012,48(1):63-82

A better understanding of what motivates humans to perform certain actions is relevant for a range of research challenges including generating action sequences that implement goals (planning). A first step in this direction is the task of acquiring knowledge about human goals. In this work, we investigate whether Search Query Logs are a viable source for extracting expressions of human goals. For this purpose, we devise an algorithm that automatically identifies queries containing explicit goals such as find home to rent in Florida. Evaluation results of our algorithm achieve useful precision/recall values. We apply the classification algorithm to two large Search Query Logs, recorded by AOL and Microsoft Research in 2006, and obtain a set of ∼110,000 queries containing explicit goals. To study the nature of human goals in Search Query Logs, we conduct qualitative, quantitative and comparative analyses. Our findings suggest that Search Query Logs (i) represent a viable source for extracting human goals, (ii) contain a great variety of human goals and (iii) contain human goals that can be employed to complement existing commonsense knowledge bases. Finally, we illustrate the potential of goal knowledge for addressing following application scenario: to refine and extend commonsense knowledge with human goals from Search Query Logs. This work is relevant for (i) knowledge engineers interested in acquiring human goals from textual corpora and constructing knowledge bases of human goals (ii) researchers interested in studying characteristics of human goals in Search Query Logs.  相似文献   

声速测井与VSP速度对比研究     

郭超  焦健 《西安文理学院学报》2011,(2):86-88

声速测井与VSP速度分析都能够反应岩层声波速度,但其各有优劣.以研究VSP速度分析与声速测井误差的影响因素为基础,通过实例分析,讨论井中泥浆和井壁垮塌等因素对于声速测井的测量结果的干扰.由对比分析结果认为：首先VSP平均速度测量相比声速测井来说更为可靠;其次在受泥浆滤液及井壁垮塌影响较为严重的层段,声速测井受干扰影响误差较大.因此,VSP的层速度分析结果同样更为准确;而声速测井的优势在于分辨率高于VSP.  相似文献   

基于Struts+Spring+log4j框架的日志管理     

陈兀  程耕国 《教育技术导刊》2010,(5)

介绍了J2EE的两种开源框架Spring和log4j,以及它们对基于Struts框架的Web应用系统的日志管理功能的实现。以Struts整合Spring的AOP技术以及log4j框架成功地实现了对Web应用系统的日志管理模块,通过上述技术在Web应用程序中的实际应用,说明了利用上述技术可以提高Web应用程序的开发效率,构造出的系统具有良好的可维护性和可扩展性。  相似文献   

基于JQuery的自动完成功能的实现     

王波  王瀚波 《三门峡职业技术学院学报》2010,9(3):102-106

当客户在利用Goolge或Baidu搜索引擎在网上搜索信息时,自动完成功能给大家带来了很大的便利。随着Ajax技术的迅速发展,自动完成功能在不同的框架中都得到了一定程度的实现。以某精密机械有限公司ERP系统的制定年业务计划模块为例,详细介绍通过JQuery-aucomplete插件和基于文本的数据交换格式JSON实现基于JQuery的自动完成功能的方法。  相似文献   

一种利用用户反馈日志获取图像语义标注方法     

时慧琨 《通化师范学院学报》2010,31(12):40-41,102

快速高效获取图像语义是基于语义的图像检索系统实现的关键,也是当前研究的热点.该文提出了一种利用检索系统的用户点击记录学习图像语义的方法,通过对用户检索时反馈日志的分析获得图像的语义标注并对标注信息加以改善.实验证明该方法对于图像语义的学习具有较好的效果.  相似文献   

Disambiguated query suggestions and personalized content-similarity and novelty ranking of clustered results to optimize web searches     

Gloria Bordogna  Alessandro Campi  Giuseppe Psaila  Stefania Ronchi 《Information processing & management》2012

In this paper, we face the so called “ranked list problem” of Web searches, that occurs when users submit short requests to search engines. Generally, as a consequence of terms’ ambiguity and polysemy, users engage long cycles of query reformulation in an attempt to capture relevant information in the top ranked results.  相似文献   

User k-anonymity for privacy preserving data mining of query logs     

Guillermo Navarro-Arribas  Vicenç Torra  Arnau Erola  Jordi Castellà-Roca 《Information processing & management》2012

The anonymization of query logs is an important process that needs to be performed prior to the publication of such sensitive data. This ensures the anonymity of the users in the logs, a problem that has been already found in released logs from well known companies. This paper presents the anonymization of query logs using microaggregation. Our proposal ensures the k-anonymity of the users in the query log, while preserving its utility. We provide the evaluation of our proposal in real query logs, showing the privacy and utility achieved, as well as providing estimations for the use of such data in data mining processes based on clustering.  相似文献