Web使用挖掘技术在电子商务中的应用

电子商务是随着网络的发展产生的一种新兴事物,电子商务的迅速崛起,使得不管是商家还是客户对基于Web数据检索、挖掘等需求不断提高。目前静态结构的Web页面显然已经被众多个性化的动态结构站点所代替。网站如何根据Web服务器日志文件,客户交易数据中挖掘出有意义的用户访问模式和潜在的客户群,为企业提供全方位信息服务和开展有针对性的电子商务活动。针对电子商务方面论述了数据挖掘的优势和应用。介绍了数据挖掘、数据挖掘的分类、电子商务中Web数据挖掘的步骤等。     

利用服务聚类优化面向过程模型的语义Web服务发现

如何快速、准确和高效地发现满足用户需求的Web服务是现阶段急需解决的关键问题之一.文中针对现有的Web服务发现机制中存在的效率低下和查准率不高的两个问题,提出了一个新的语义Web服务发现框架.在该框架下,采用Petri网作为Web服务过程描述的形式化工具.首先,利用聚类技术,从服务的功能相似和过程相似两个层面对服务进行聚类预处理,从而在很大程度上降低服务的查找空间,提高服务的查找效率.进一步,针对服务请求中可能潜在的行为约束,建立基于Petri网的过程需求模型,将其与候选服务的过程模型进行比较,对满足功能需求的可行服务进一步筛选,从而提高查找的精确度.最后,利用仿真实验对所提出的方法进行验证.     

图像购物搜索技术研究综述

传统的电子商务网站主要通过商品名称的关键字来进行商品搜索,然而文字信息难以完整的描述商品的各种特征,并且存在人为操作的主观性,导致搜索结果与用户意图之间存在较大差异.基于内容的图像搜索技术通过提取商品图像的视觉特征进行搜索,为电子商务网站的发展提供了新的契机.本文在此基础上对图像购物搜索技术的研究工作进行梳理,总结研究现状,分析技术原理,并指明未来的发展趋势.     

Managing Flexibility for Inter-Organizational Electronic Commerce

Electronic commerce has the potential to significantly impact on supply chain management in today's highly dynamic business environment. Enterprises are eager to tap into new opportunities such as the proliferation of alternatives in the electronic marketplace, real-time access to supply information including both product price and leadtime at virtually no cost, and an efficient inter-organizational electronic collaboration infrastructure. In our work, we model different business entities as software agents interconnected via the Internet. Our main research focus is how to coordinate supply chain management agents dynamically and flexibly such that goods and services can be delivered at the right time in a cost-effective manner.     

Scalable semantic brokering over dynamic heterogeneous data sources in InfoSleuth/spl trade/

InfoSleuth is an agent-based system for information discovery and retrieval in a dynamic, open environment. Brokering in InfoSleuth is a matchmaking process, recommending agents that provide services to agents requesting services. This paper discusses InfoSleuth's distributed multibroker design and implementation. InfoSleuth's brokering function combines reasoning over both the syntax and semantics of agents in the domain. This means the broker must reason over explicitly advertised information about agent capabilities to determine which agent can best provide the requested services. Robustness and scalability issues dictate that brokering must be distributable across collaborating agents. Our multibroker design is a peer-to-peer system that requires brokers to advertise to and receive advertisements from other brokers. Brokers collaborate during matchmaking to give a collective response to requests initiated by nonbroker agents. This results in a robust, scalable brokering system.     

XPECT: a framework for electronic commerce

Electronic commerce is emerging as one of the most important applications on the Internet, with the potential to revolutionize the whole structure of retail merchandising and shopping. There is already a need for an information technology infrastructure that goes well beyond the simple capabilities offered by the current development environments for Internet applications. For electronic commerce to really take off, however, it will have to give shoppers options not available through traditional commercial channels. This implies the further need for an infrastructure that can support complex and flexible services to manage customer tailored requests in the context of highly dynamic networks and federations of providers. To achieve this level of support will mean using the functionalities now considered to be whole applications as the elementary building blocks of e-commerce applications. Among these functionalities are: transactional payment; workflow; and multiparty agreement. To address these issues, we developed XPect, a generic framework for electronic commerce. The XPect framework supports the integration of multiple component functionalities. It is implemented in the Coordination Language Facility, an object based distributed application development tool. CLF assumes an object model of autonomous agents that can engage in interactions, more sophisticated than those in the traditional object paradigm. In addition, CLF allows for dynamically adding new services and for coordinating the access to multiple services     

基于非功能语义的语义Web服务匹配方法研究

目前,语义Web服务匹配方面的研究主要集中在基于服务功能性信息的语义匹配上,但是,充分利用非功能语义信息有助于提高服务匹配的精度。非功能语义信息主要是文本描述,因此,基于非功能语义的服务匹配转化为文本相似度的问题。为了支持中文,本文根据《知网》来计算文本相似度,详细介绍了词语相似度、概念相似度和义原相似度的计算方法,并进行了实验,实验结果显示加入非功能语义虽然查全率有所下降,但查准率有很大的提高,进而证明非功能语义可以提高服务匹配的精度。     

经贸信息服务平台搭建的解决方案

随着国内民营企业的日益增多和中国加入ＷＴＯ的临近,电子商务应用作为发展经济新的有力手段,也成为广大市民希望了解和实际操作的内容,该文主要从利用Ｉnternet进行贸易和信息服务这一角度,提出了建设该网络服务平台的一些构想,以及其中比较突出的问题的解决方法。     

Image retrieval with a multi-modality ontology

Ontologies represent domain concepts and relations in a form of semantic network. Many research works use ontologies in the information matchmaking and retrieval. This trend is further accelerated by the convergence of various information sources supported by ontologies. In this paper, we propose a novel multi-modality ontology model that integrates both the low-level image features and the high-level text information to represent image contents for image retrieval. By embedding this ontology into an image retrieval system, we are able to realize intelligent image retrieval with high precision. Moreover, benefiting from the soft-coded ontology model, this system has good flexibility and can be easily extended to the larger domains. Currently, our experiment is conducted on the animal domain canine. An ontology has been built based on the low-level features and the domain knowledge of canine. A prototype retrieval system is set up to assess the performance. We compare our experiment results with traditional text-based image search engine and prove the advantages of our approach.     

基于独立关键子块的图像检索新方法

传统文本检索中很多好的方法很难在图像检索中得以应用，因为文本检索是基于关键宇进行相似信息检索的．为了有效利用文本检索中业已存在的好方法，提出基于独立关键子块进行图像检索的新方法：首先通过独立分量分析方法得到图像独立关键子块空间，然后使用模糊支持向量机去识别每幅图像中所包含的独立关键子块，这样就可以采用类似文本中关键宇检索方式去实现相似图像检索．     

微博检索的研究进展

随着微博的快速发展,微博检索已经成为近年来研究领域的热点之一。该文首先以TREC Microblog数据为基础,从分析微博文档和微博查询两方面出发,得出微博检索与传统文本检索之间的两点不同: 一是微博文档相较于网页具有很多独有的特征;二是微博查询属于时间敏感查询,即在排序时除了考虑文本的语义相似度,还需要考虑时间因素,将这类方法统称为时间感知的检索技术。这两点差异使得已有的信息检索技术不能满足微博搜索的需求。该文主要介绍了近年来这两方面的相关研究: 首先描述了微博本身的多种特征以及基于这些特征提出的检索方法;然后以传统信息检索过程为主线,分别介绍了将时间信息用于文本表示、文档先验、查询扩展三方面的排序模型,最后总结了已有工作并且对未来研究内容进行了展望。     

Whether a retailer should enter an e‐commerce platform taking into account consumer returns

Considering consumers are increasingly shopping online nowadays and the online sales market is dominated by e‐commerce giants, traditional retailers need to choose whether to enter e‐commerce platforms. Moreover, traditional retailers need to determine whether to offer offline return services considering online return services are very popular. To address these challenges, we explore a retailer's optimal offline return strategy and channel choice of whether or not to enter a platform in the contexts of symmetric information and asymmetric information, respectively. We present conditions for the retailer to share information. Interestingly, we find that the retailer in some conditions has no motivation to improve customer satisfaction rate of offline store. Most important, we find that the retailer's channel choice depends on the magnitude of the annual service fee that is affected by offline return strategy and asymmetric information, and the offline return strategy depends on the magnitude of the average residual value of returned products.     

移动电子商务统一服务系统研究与设计

目前在世界范围特别是发达国家,电子商务取得了快速发展,通过互联网进行交易已成潮流,随着宽带技术和智能手机的不断发展,移动电子商务成为电子商务发展的新趋势。文章提出了移动电子商务统一服务系统的设计和建设方法,并详细介绍了该移动电子商务统一服务系统的体系架构、设计和实现方法。系统的实际运行情况表明该系统能够为移动电子商务的开展提供信息服务、交易、支付和物流支持等一系列服务,建立新型合作共赢的移动电子商务商业模式。     

带Cache的语义Web服务发现研究

针对现有语义Web服务发现模型的查询效率较低的现状,提出了一种新的基于Cache的语义Web服务发现模型SWSDM-Cache.在模型中,对传统UDDI框架进行分布式扩展,语义Web服务按领域划分,存放在各自的领域UDDI库中.在发现过程中首先进行领域匹配,再进行Cache搜索.试验结果表明,该模型的服务发现效率较传统的策略有明显的提高.     

内存数据库在撮合交易系统中的研究与实现

本文针对中介型电子商务交易平台所特有的海量数据处理、并发请求、实时响应等需求特点，提出一种新的基于内存数据库的撮合交易系统模型。在与当前成型的电子商务交易系统进行定性比较的基础上，通过模拟实验进一步定量说明了该系统模型的优势所在。