空中写卡的安全性分析及一种实现

中国移动实施的远程写卡系统解决了部分备卡和号码、资金占用问题,但由于社会代理销售渠道的庞大,实际无法大面积实施。论文提出了一种使用手持终端的空中写卡方案,分析了空中数据传输的安全性要求并提出了一种基于两级密钥体系的两级数据传输的实现,给出了从选号、写号到业务日志的业务顺序图。     

基于本体论的个性化影片推荐技术研究

个性化影片推荐服务是解决目前网络及家庭数字电视应用中影片资源迅速增长,用户"信息迷航"的有效方法.针对影片点播应用,给出了个性化影片推荐服务的体系结构、影片数据建模、用户兴趣偏好模型进行了研究,实现无需用户输入传统推荐方法所需相关个性兴趣信息即可返回与用户当前兴趣相关的影片推荐列表,提出了基于本体论的影片模型,并建立用户兴趣偏好模型,给出了对推荐过程中结合用户信息反馈对推荐结果进行自适应的调整算法.     

智能互联产品内容个性化的构成维度研究

在文献阅读和深度访谈的基础上,提炼出28个智能互联产品内容个性化测量题项,通过问卷调查收集数据,采用因子分析和回归分析等方法对智能互联产品内容个性化构成维度进行了实证研究。研究结果表明:智能互联产品的内容个性化由内容推荐、内容定制、内容优化、内容扩展和内容安全五个维度构成;内容定制是最重要的维度,其后依次是内容优化、内容推荐、内容扩展和内容安全。     

针对高速公路场景下的TF协同优化思路与方案

随着LTE的建设与应用推广,TDD-LTE由于其频率特性及上下行时隙配比等原因,在容量、深度覆盖方面已难以满足用户日益增长的业务需求。在此背景下,TF协同优化成为了容量分流、提升客户感知的重要思路并广受关注。然而,不同场景的业务及用户分布等特性各异,在制定具体策略时,需针对该场景特点制定个性化的协同优化策略。机场高速作为城市的门户与形象窗口,其网络质量一直是各运营商优化工作关注的重点。本文基于某市机场高速场景,探讨了TF协同优化实现原理、策略与具体优化方案,为制定场景个性化TF协同策略,解决重点场景负荷过高、用户体验感知差、深度覆盖不足等提供了思路。     

多功能语音模块的设计与应用

为了满足各个领域中更加人性化的控制、管理、操作及监测等方面的需要,本文以单片机AT89C51作为模块的控制核心,采用语音芯片ISD2560完成系统的语音录放功能,通过分段录音、寻址播放的方法,实现了语音的分段录放、循环播放、查询播放、组合播放等功能。实验结果表明,语音地址分辨率为100ms,最大录、放时间为60s,可录、放180个字左右,语音组合无明显断续感,声音清晰、自然,并可根据需要录、放各种个性化语音,具有较好的通用性。该模块在家庭语音报警系统中得到了成功的应用。     

基于Web使用模式挖掘的个性化电子商务策略

电子青务是新兴的现代商业模式，Web数据挖掘是先莲的信息处理技术。随着商业信息和数据的急剧增加，如何有效地分析和利用信息成为企业共同关注的问题。本文介绍了Web数据挖掘技术的定义、应用流程以及几种主要技术，并对Web使用模式挖掘在个性化电子商务中的客户细分、驻留客户、站点改进和交叉销售等应用策略进行了探讨。     

Intelligent Knowledge Recommendation Methods for R&D Knowledge Portals

The personalization in knowledge portals and knowledge management systems is mainly performed based on users' explicitly specified categories and keywords. The explicit specification approach requires users' participation to start personalization services, and has limitation to adapt changes of users' preference. This paper suggests two implicit personalization approaches: automatic user category assignment method and automatic keyword profile generation method. The performances of the implicit personalization approaches are compared with traditional personalization approach using an Internet news site experiment. The result of the experiment shows that the suggested personalization approaches provide sufficient recommendation effectiveness with lessening users'unwanted involvement in personalization process.     

Highly Personalized Information Delivery to Mobile Clients

The inherent limitations of mobile devices necessitate information to be delivered to mobile clients to be highly personalized according to their profiles. This information may be coming from a variety of resources like Web servers, company intranets, email servers. A critical issue for such systems is scalability, that is, the performance of the system should be in acceptable limits when the number of users increases dramatically. Another important issue is being able to express highly personalized information in the user profiles, which requires a querying power as that of SQL on relational databases. Finally, the results should be customized according to user needs, preferences and the mark up language of their mobile device. Since the queries will be executed on the documents fetched over the Internet, it is natural to expect the documents to be XML documents.This paper describes an architecture for mobile network operators to deliver highly personalized information from XML resources to mobile clients. To achieve high scalability in this architecture, we index the user profiles rather than the documents because of the excessively large number of profiles expected in the system. In this way all queries that apply to a document at a given time are executed in parallel through a finite state machine (FSM) approach while parsing the document. Furthermore, the queries that have the same FSM representation are grouped and only one finite state machine is created for each group which contributes to the excellent performance of the system as demonstrated in the performance evaluation section.To provide for user friendliness and expressive power, we have developed a graphical user interface that translates the user profiles into XML-QL. XML-QL's querying power and its elaborate CONSTRUCT statement allows the format of the results to be specified. The results to be pushed to the mobile clients are converted to the markup language of the mobile device such as Wireless Markup Language (WML), CHTML or XHTML by the delivery component of the system.     

基于Web3.0的个性化信息服务研究

web3.0是在web2.0的基础上发展起来,融合了多种新技术,让互联网与人们的社会生活更紧密的融合。本文通过对Web3.0概念及个性化信息服务特点的介绍,简要分析web3.0提供的个性化服务具体内容。以期为深入研究个性化服务相关人员提供一定的参考和借鉴。     

基于Agent的个性化信息检索系统设计

Web上信息的不断增长对搜索引擎提出了更高的要求，个性化信息检索成为目前研究的一个热点。现提出了一个基于Agent的个性化信息检索系统模型PILLS，主要分析了系统的组成及各组成部分的工作原理。理论上，无论是查准率还是查全率，PILLS系统的查询结果优于一般搜索引擎的查询结果。