The paper discusses collaborative commerce with five chapters.
文章分五个部分对协同商务进行了讨论。
Based on the collaborative commerce platform, the thesis mainly studies the negotiation mechanism.
在协同商务平台的基础上，论文重点研究了基于该平台的协商机制。
This is known as collaborative commerce. ERP systems are replacing major portions of most firms' software needs.
ERP系统正取代者大部分公司软件需要的主要部分。
In Chapter 4, the design of the data exchange system of Collaborative Commerce Platform based on the security model is discussed.
第4章主要介绍了基于该安全模型的协同商务平台数据交换系统的设计。
Therefore, How to build an effective collaborative commerce system, which can resolve these three problems, needs to be researched currently.
如何构建一个能有效解决这些问题实现跨网络系统集成的多点交互协同商务系统是当前需要研究的前瞻性问题之一。
Collaborative Commerce, flow management and Workflow technology are the hotspots of E-business, management idea and computer application research.
协同商务、流程管理和工作流技术是电子商务、管理思想和计算机应用领域研究的热点。
This article on the network platform for collaborative commerce services, as well as the League of model structure enabling technology is discussed.
本文就网络协同商务平台的服务联盟模式以及使能技术架构进行了探讨。
In Chapter 5, the realization of secure data exchange system of Collaborative Commerce Platform, the secure result analysis and exception analysis are described.
第5章介绍协同商务平台安全数据交换系统的实现，安全结果分析和异常分析。
Collaborative commerce oriented CC-GDSS model that based on group decision support system holds out the construction of collaborative commerce system commendably.
基于群体决策支持系统的面向协同商务的CC - GDSS模型的提出很好地支持了协同商务系统的构建。
NET technology, design and develop the negotiation system based on collaborative commerce platform, to support the core enterprise and its partners 'online interact.
NET技术，设计开发了基于协同商务平台的协商系统，以支持核心企业与合作伙伴进行网上交互。
Enterprises expect the introduction of collaborative commerce to improve business processes, reduce costs, enhance customer satisfaction and loyalty, increase benefits and so on.
企业期望协同商务的引入能够改进业务流程，降低成本费用，提高客户满意度和忠诚度，大幅增加收益等。
Facing the question of the choice to the software, it offers collaborative commerce system software choosing overall principle and concrete principle, and carries on concrete analysis to it.
针对软件选择问题，提供了协同商务系统软件选型总体原则和具体原则，并对其进行了具体的分析。
This research demonstrates that the 'collaborative B2B commerce' provide firms with dramatic performance gain by increasing the interdependence between channel partners.
这项研究论证了“协作式B2B商务”通过提升渠道合作者之间的互相依存关系，从而给企业提供显而易见的绩效。
Then the treatise discusses the practice of collaborative product commerce in the value chain integration, and the tendency of modularization management.
探讨了协同产品商务在价值链整合中的应用，提出价值链模块化管理的发展趋势。
In order to realize web service automation in collaborative product commerce, a semantic-based web service description meta-model supporting web service automation was proposed.
为网络服务提供全面准确的描述，是实现协同产品商务中网络服务自动化的一个前提。
At last, the implementation of workflow established in the platform of commerce model for collaborative logistics is discussed.
最后探讨了工作流技术在构建协同物流商务平台中的实现方法。
But, with expansion of E-commerce system's size, collaborative filtering approach suffer from many challenges, for instance, quality of recommendations, scalability, sparsity, cold-start problem.
电子商务系统规模的日益扩大，协同过滤推荐方法也面临诸多挑战：推荐质量、可扩展性、数据稀疏性、冷开始问题等等。
Joint procurement has become an important application model along with the rapid development of collaborative B-to-B electronic commerce.
合作采购是一种重要的企业间电子商务应用模式，成功实施合作采购需要供应链成员的积极参与。
In E-commerce recommender system, collaborative filtering technology is the most popular and successful method at present.
电子商务推荐系统中协同过滤已成为目前应用最广泛、最成功的推荐方法。
Collaborative filtering is thriving among lots of personalized recommendation technology which leads the recommendation system trends of major e-commerce platforms.
众多个性化推荐技术中协同过滤可谓一枝独秀，该算法引领了当今各大电子商务平台的推荐系统的发展趋势。
Collaborative filtering recommendation algorithm is one of the most successful technologies in thee-commerce recommendation system.
协同过滤推荐算法是在电子商务推荐系统中最成功的技术之一。
Absrtact: In E- commerce recommender system, collaborative filtering technology is the most popular and successful method at present.
摘 要：电子商务推荐系统中协同过滤已成为目前应用最广泛、最成功的推荐方法。
Be inspired by the research achievement in e-commerce fields, we try to introduce the collaborative filtering technology into research of personalized recommendation of learning resources.
受电子商务研究领域中相关研究成果启发，我们尝试将协同过滤推荐技术引入学习资源的个性化推荐研究中。
Be inspired by the research achievement in e-commerce fields, we try to introduce the collaborative filtering technology into research of personalized recommendation of learning resources.
受电子商务研究领域中相关研究成果启发，我们尝试将协同过滤推荐技术引入学习资源的个性化推荐研究中。
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