基于电子用户口碑的消费者网购决策分析

随着近年来女性消费者网购化妆品的数量逐年增加,网购的便利性越来越明显。就女性消费者网购决策而言,电子用户口碑是影响其网购与否的至关重要的因素。因此,文章通过问卷调查法,结合SPSS软件分析可行性数据,研究电子用户口碑和女性消费者网购化妆品的购买决策之间的关系。研究结果表明,电子用户口碑确实会影响女性消费者网购化妆品的购买决策。其中,资源的可靠性、电子用户口碑的质量以及电子用户口碑信息感知可信性均对女性消费者网购化妆品的购买决策有影响。另外,文章通过研究发现,年龄、教育背景、职业和收入状况对女性消费者是否选择网购化妆品并没有影响。     

新浪微博反垃圾中特征选择的重要性分析

微博中的垃圾用户非常普遍,其异常行为及生产的垃圾信息显著降低了用户体验。为了提高识别准确率,已有研究或是尽可能多地定义特征,或是不断尝试提出新的分类检测方法;那么,微博反垃圾问题的突破点优先置于寻找分类特征还是改进分类检测方法,是否特征越多检测效果越好,新的方法是否可以显著提高检测效果。以新浪微博为例, 试图通过不同的特征选择方法与不同的分类器组合实验回答以上问题,实验结果表明特征组的选择较分类器的改进更为重要,需从内容信息、用户行为和社会关系多侧面生成特征,且特征并非越多检测效果越好,这些结论将有助于未来微博反垃圾工作的突破。     

网络消极口碑研究述评

网络消极口碑是消极口碑概念在互联网环境中的延伸。为了降低网络消极口碑对电子商务余业经营和发展的负面影响，就应回顾、分析网络消极口碑相关领域的研究，梳理、归纳网络消极口碑的概念，探讨网络消极口碑形成、传播以及影响的相关理论，并在此基础上对网络消极口碑的研究方向进行展望。     

基于多策略的垃圾短信过滤系统研究

在日常生活中,垃圾短信的存在使得用户倍感困扰,用户迫切需要对垃圾短信进行过滤.本文在已标记的72000条正常短信和80000条垃圾短信基础上,建立了朴素贝叶斯模型和KNN两个文本分类模型.经测试,每个模型的综合得分都达到90%以上.本文重点介绍朴素贝叶斯分类方法和KNN分类方法在文本分类中的实际运用;该系统的评价标准,采用准确率P和召回率R的平衡F值.分析了朴素贝叶斯模型、KNN模型在不同数据集下对F值的影响,并且综合分析两个模型的优缺点,建立模型对比示意图.     

家宽用户体验端到端感知及闭环体系创新方案

<正>目前,运营商市场发展已接近饱和,市场竞争趋于白热化,经营模式已经从“流量经营”走向“价值经营”,在持续提升用户满意度的基础上,推动“高质量发展”成为我国三大运营商在家宽领域的共同目标。随着家宽业务的快速发展,如何有效地保留存量用户、提升家宽用户上网满意度和家宽口碑,成为当前运营商的迫切诉求,而家宽用户体验是影响满意度的关键。以往存在着无法有效评价用户体验的好与坏、无法精准识别体验感差的用户等问题,因此处理投诉问题总是“慢一拍”,同时对用户投诉的问题也无法进行快速定界定位,导致运营商缺乏用户体验改善的快速闭环能力。     

一种基于用户话单的业务感知监测技术研究

随着移动互联网业务的蓬勃发展,移动用户业务呈现多元化和差异化,无线网络优化工作逐步转向以用户感知提升为目标。对此,研究一种基于用户话单的网络质量检测方法,还原用户上网即时的网络环境及业务感受,对网络质量进行深度监测、挖掘,实现业务体验以及网络质量的联动监测分析,全面提升运维效率及市场口碑,具有重要意义。     

大学生网络知识付费行为影响因素研究

2016年被称为“知识付费元年”,网络知识付费已经成为当代知识传播的一种重要的方式。大学生作为互联网用户的主体之一,对网络知识付费领域的发展起重要作用,同时随着疫情影响,大学课程逐渐由线下教学转为线上线下相结合的形式,大学生接触网络知识付费产品的机会增加。研究大学生网络知识付费行为影响因素,有助于网络知识付费平台和知识提供者为大学生消费者带来更好的用户体验。本文根据已有研究,基于计划行为理论,采用结构方程模型,研究了多种因素对大学生网络知识付费的影响,得出了知识有用性、平台易用性、感知娱乐性、个人性规范、社会性规范、自我效能、控制效能和疫情效应对大学生网络知识付费行为有正向影响,并且为网络知识付费平台提出了要提升平台用户体验、加强知识内容运营、做好品牌口碑塑造和把握机会转型升级等建议。     

基于微信小程序的垃圾分类系统设计与实现

随着环境污染带来的影响日趋严重,合理地进行垃圾分类成为亟待解决的问题。借助微信这个强大的社交网络平台,针对目前垃圾分类现状进行研究,设计并实现一个垃圾分类小程序,旨在帮助人们更好地进行垃圾分类,普及垃圾分类知识。系统采用WXML和WXSS实现客户端页面功能,进行页面布局设计,使用Java语言实现交互功能,使用MySQL数据库存储数据,旨在为用户提供垃圾分类文字查询、拍照查询以及垃圾分类知识问答等功能。     

网络口碑的传播机制及应用策略研究

随着互联网技术的快速发展，网络口碑已逐渐成为企业的一种有效营销工具。本文在阐述网络口碑内涵和特征的基础上，分析了网络口碑的作用、传播机制及其对消费者购买决策的影响，并进一步给出了企业口碑营销的基本策略。     

数字化学习资源平台的优化策略分析

阐述数字化学习资源平台现状，分析教师对数字化学习资源的使用意愿，表现在平台设计、优质资源、用户回馈、平台互动。探讨用户体验的实践应用，根据资源类型制定用户体验策略。     

多品类生活垃圾收运的车辆路径优化问题研究

近年来随着中国逐步制定并开展垃圾分类的政策法规,多品类生活垃圾分类收运问题就逐步凸显出来。国内使用多车舱车辆收运多品类生活垃圾的研究还较少,针对这一需求,本文基于生活垃圾分类利用多车舱垃圾收运车辆同时收运多品类生活垃圾的收运问题,以降低城市生活垃圾收运成本为目标,构建考虑车辆收运成本的多品类垃圾收运车辆的路径优化模型,并进行仿真实验,用蚁群算法对算例进行求解,验证了算法模型的良好寻优效果,为新式垃圾车辆的投产使用提供参考。     

互联网+智能垃圾桶设计

垃圾的处理问题已经成为全球性问题。该项目为一种高度自动化的智能垃圾分类系统,具有引导用户分类垃圾、智能识别垃圾种类、自动推拉门盖、储存投放记录、分析垃圾箱存储量及强力粉粹垃圾等多种功能。具有研发成本低、操作简单、生产效率高、且兼具高度智能化和人性化的市场优势。本系统的研发致力于解决垃圾识别难度大、处理垃圾效率低、垃圾搬运负担重等社会问题,为垃圾分类的大潮流提供一种可靠便捷且成本低廉的解决方案。采用积分奖励模式,帮助用户养成垃圾分类习惯,大大提高居民参与积极性和获得感。建立居民垃圾分类信用体系,将垃圾分类工作与物业管理、社区服务相结合。     

基于物联网技术的智能水上垃圾处理器的研发与设计

文中针对水上垃圾处理问题,利用物联网技术研发了一种智能水上垃圾处理器。通过对垃圾进行识别和分类,实现了智能化的垃圾处理和收集。通过系统需求分析和设计,提出了智能水上垃圾处理器的功能需求、性能需求、硬件设计、软件设计和网络通信设计。同时,研究了关键技术,包括垃圾识别与分类算法、智能控制与操作系统、垃圾收集与处理机制。通过实验与性能评估,验证了智能水上垃圾处理器的功能和性能。最后,总结了研究工作,提出了进一步优化和发展的展望。     

Do website features matter in an online gamification context? Focusing on the mediating roles of user experience and attitude

The purposes of this study are mainly to investigate the relationships among website features (i.e. utilitarian and hedonic features), user experience, perceived value (i.e. information value, experiential value, social value, and transaction value), user attitude, and behavioral intentions (i.e. intention to use and word-of-mouth intention), and additionally the mediating effects of user experience and attitude are also explored in this study in an online gamification context. Specifically, this study applies a structural equation model to test the causal relationships among those website features, user experience, perceived value, user experience, and behavioral intentions in an online gamification context. Results show that both utilitarian features and hedonic features have significant impact on users’ experience, which in turn affects their perception of value and attitude. Users’ perceptions of information and transaction value also significantly affect their attitude, and in turn affect their behavioral intentions. Besides, the mediating effects of user experience and attitude are also confirmed in this study. To summarize, the findings of this study can help website managers improve their users’ perceptions of value and attitude more effectively and act as a guide for research and development (R&D) of gamification to acquire competitive advantage and further evoke desired behavioral intentions.     

Factors Affecting Consumer Acceptance Mobile Broadband Services with Add-on Advertising: Thailand Case Study

There are two methods for mobile advertising: SMS and broadband advertisement. Previously SMS is the most common way of mobile advertising. Previous researches on consumer acceptance have been focused on SMS advertisement. This paper aims to identify factors that influence consumer’s intention to accept mobile broadband services with add-on advertising. As theory of reasoned action (TRA) has been widely used to explain user behavioral intension in previous researches, we proposed extended TRA by including six factors for testing adoption of mobile broadband services with add-on advertising: Perceived Value, Contextual Awareness, Trust, Solidarity, Familiarity and Effect. The proposed model has been tested on selected Thai mobile broadband user communities. The results from 61 valid responses during 2 weeks time period found that attitude toward mobile advertising and subjective norms have weak significance on user intention to accept add-on advertising. It is also found that Perceived value has higher significant than other proposed factors. With the proposed model, it is possible for advertisers to create an effective and pertinent mobile broadband advertising.     

基于GINet的垃圾分类检测网络

为了更好地服务于城市垃圾分类,提高垃圾分类前端收集的工作效率,本文提出了一种基于GINet的智能分类垃圾网络。首先在Kaggle数据集和华为垃圾分类公开数据集的基础上进行了人工标注,并建立了垃圾分类的训练数据集。其次,为了提高模型的泛化能力,扩充训练样本,设计了一种具有针对性的多背景图像增强方法。最后,为了解决垃圾分类数据集中某些同类垃圾之间的尺寸、颜色差异巨大,以VGG-16为主干特征提取网络,构建了一个融合多特征提取与注意力机制的垃圾识别网络(Garbage Identification Net,GINet)。仿真实验表明,该算法在复杂环境下拥有良好的鲁棒性和稳定性,检测准确率可达到94.5%,很好地满足了工业场景下垃圾检测的准确性。     

基于绿色账户的全过程垃圾分类信息化管理研究

基于国内外研究成果,将绿色账户机制与物联网技术相结合,建立一套全过程垃圾分类管理信息系统具有很强的可行性.有利于提高"绿色账户"的长期激励效果,并能够通过合理的系统功能设计,实现垃圾从投放到处理处置各个环节的有效监管.     

Esports as playful consumption experiences: Examining the antecedents and consequences of game engagement

This study aims to propose and test a conceptual model identifying playful-consumption experiences (i.e., role-projection, fantasy, escapism, enjoyment, sensory experiences, emotional involvement, and arousal) as potential drivers of consumer esports videogame engagement as well as continuance intentions, electronic word-of-mouth (eWOM), and online reviews as possible outcomes. Using the esports games' context and analyzing data from 290 gamers, the study utilized PLS-SEM using SmartPLS 3.3.9 to test the structural model. The results showed that the proposed playful-consumption experiences such as enjoyment, sensory experiences, emotional involvement, and arousal positively affect consumers’ esports game engagement. Furthermore, the results indicate the positive influence of esports game engagement on continuance intentions to play esports, eWOM and post online reviews. This study extends the esports gaming literature by examining both the antecedents and consequences of esports game engagement and provides valuable theoretical and practical implications.     

Evaluation research for Internet users/services attributes extraction and classification

Internet has been changing communications and social network of human beings during the past years due to its convenience. The number of Internet users and services are increasing incredibly with the development of various networking technologies, but at the same time these cause the difficulty of managing the network and providing better user experience. User/service classification can alleviate this problem. A thorough evaluation system can not only assess the performance of the classification models, but also improve them significantly. In this paper, we build a new kind of user/service classification model and propose an evaluation system. Taking diverse viewpoints into account and ensuring the evaluating results to be as complete and unbiased as possible, we design a multi-layer and multi-dimensionality assessment architecture. This architecture includes reliability, validity, flexibility, efficiency and cost. We believe our evaluation system could behave better and come up with a more overall and scientific consequence when it comes to the specific classification model.