网络营销的智能决策支持系统设计和开发

着重分析智能决策支持系统在网络营销方面的应用。首先,从Internet出发提出本文课题的讨论背景。接着,叙述电子商务与决策支持系统的发展现状及其发展趋势。通过网络营销智能决策支持系统的设计和开发表达了决策支持系统的重要性。     

基于.NET社保基金档案管理系统的设计与实现

社保基金档案管理系统是社会保险业务办理存档信息化的一个主要内容。系统是基于.NET技术采用完整的三层结构设计,使用VB.NET语言设计程序,提供了对业务数据档案的查询、修改及在系统和Excel数据文件间的批量导入与导出功能。对开发.NET管理信息系统有一定的借鉴意义。     

全球电子政府发展的若干动向

本文介绍了今年6月14-15日在新加坡召开的iGOV2010全球论坛的主题和主旨报告,概述了社会协作网络对电子政府改革的深刻影响并对全球电子政府发展的若干动向作简要分析。     

Structural reproduction of social networks in computer-mediated communication forums

This study explores the relationship between the structure of an existing social network and the structure of an emergent discussion-board network in an undergraduate university class. Thirty-one students were issued with laptop computers that remained in their possession for the duration of the semester. While using these machines, participants' email log files were collected directly from the University's email servers. The analysis compared structural attributes of actors evident in their social network with the emergent structural properties measured from interactions in a shared discussion board environment. A significant relationship was found between the existing social network structure and the emergent communication patterns, suggesting that existing relationships have a strong influence on subsequent computer-mediated communication. Additional matrices were used to control for gender, major and perceived computer efficacy, none of which had a significant effect.     

Learning to learn: From smart machines to intelligent machines

Since its birth, more than five decades ago, one of the biggest challenges of artificial intelligence remained the building of intelligent machines. Despite amazing advancements, we are still far from having machines that reach human intelligence level. The current paper tries to offer a possible explanation of this situation. For this purpose, we make a review of different learning strategies and context types that are involved in the learning process. We also present the results of a study on cognitive development applied to the problem of face recognition for social robotics.     

Social network,social trust and shared goals in organizational knowledge sharing

The aim of our study was to further develop an understanding of social capital in organizational-knowledge-sharing. We first developed a measurement tool and then a theoretical framework in which three social capital factors (social network, social trust, and shared goals) were combined with the theory of reasoned action; their relationships were then examined using confirmatory factoring analysis. We then surveyed of 190 managers from Hong Kong firms, we confirm that a social network and shared goals significantly contributed to a person's volition to share knowledge, and directly contributed to the perceived social pressure of the organization. The social trust has however showed no direct effect on the attitude and subjective norm of sharing knowledge.     

The Impact of Interaction and Social Learning on Aggregate Expectations

We examine the effect of information sharing within small world networks. Agents receive a signal correlated with the state of the world (SoW) which is adjusted following discussions with neighbours. If one agent in the network, referred to as an expert, does not engage in social learning (that is they always follow their own signal) then all agents learn the SoW. It is found that volatility in the mean level of expectations varies with changes in the number of experts and the network structure. A trade-off emerges between the level of volatility and the speed at which agents learn of changes to the SoW. A second finding is that certain network structures lead to information cascades.      

网络互动营销的操作方法探讨

国内中小企业的网络营销前景已经毋庸置疑,而互动性亦已成为网络营销活动中的重要组成部分。企业源源不断地发掘出多种多样的互动元素和互动方式,并将其广泛应用于与顾客之间的网上营销活动中。这样一种网络互动营销方式不但冲击并改变着过去被动消极的传统营销模式,而且最终极大地推动并形成了企业与顾客之间的双赢局面。因此,研究分析网络互动营销活动中可能的一些操作方法则具有一定的实际意义与价值。正是基于上述背景,该文尝试探讨并提出了网络营销活动中的一些可行有效且较为实用的具体操作方法。     

基于时变系数与社会认知模拟的粒子群优化

粒子群优化算法利用一群在可行区域内飞行的粒子来搜索最优解,具有易实现、收敛速度快的特点,然而也面临"早熟"的问题.提出了一种基于时变系数与社会认知模拟的粒子群优化算法.实验结果显示,在5种不同的标准化测试函数下,新算法较另外3种常用的算法优越.     

Using visual and text features for direct marketing on multimedia messaging services domain

Traditionally, direct marketing companies have relied on pre-testing to select the best offers to send to their audience. Companies systematically dispatch the offers under consideration to a limited sample of potential buyers, rank them with respect to their performance and, based on this ranking, decide which offers to send to the wider population. Though this pre-testing process is simple and widely used, recently the industry has been under increased pressure to further optimize learning, in particular when facing severe time and learning space constraints. The main contribution of the present work is to demonstrate that direct marketing firms can exploit the information on visual content to optimize the learning phase. This paper proposes a two-phase learning strategy based on a cascade of regression methods that takes advantage of the visual and text features to improve and accelerate the learning process. Experiments in the domain of a commercial Multimedia Messaging Service (MMS) show the effectiveness of the proposed methods and a significant improvement over traditional learning techniques. The proposed approach can be used in any multimedia direct marketing domain in which offers comprise both a visual and text component.