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Yewei Xue Yunhua Hu Guomao Xin Ruihua Song Shuming Shi Yunbo Cao Chin-Yew Lin Hang Li 《Information processing & management》2007
This paper is concerned with automatic extraction of titles from the bodies of HTML documents (web pages). Titles of HTML documents should be correctly defined in the title fields by the authors; however, in reality they are often bogus. It is advantageous if we can automatically extract titles from HTML documents. In this paper, we take a supervised machine learning approach to address the problem. We first propose a specification on HTML titles, that is, a ‘definition’ on HTML titles. Next, we employ two learning methods to perform the task. In one method, we utilize features extracted from the DOM (direct object model) Tree; in the other method, we utilize features based on vision. We also combine the two methods to further enhance the extraction accuracy. Our title extraction methods significantly outperform the baseline method of using the lines in largest font size as title (22.6–37.4% improvements in terms of F1 score). As application, we consider web page retrieval. We use the TREC Web Track data for evaluation. We propose a new method for HTML documents retrieval using extracted titles. Experimental results indicate that the use of both extracted titles and title fields is almost always better than the use of title fields alone; the use of extracted titles is particularly helpful in the task of named page finding (25.1–30.3% improvements). 相似文献
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Developing countries are home to more than 80% of the world's population, and are the site for growing use of e-commerce. There are theoretical claims that e-commerce could bring significant benefits to firms in developing countries, but we know very little empirically about the actual outcomes of e-commerce implementation. Our article addresses this gap in knowledge through a survey of 92 businesses in South Africa, all of which have moved beyond the basic stage of e-commerce. The findings indicate that e-commerce benefits are, by and large, limited to improvements in intra- and interorganizational communications. More strategic benefits relating to market access, customer/supplier linkages or cost savings were not found in the majority (more than 80%) of organizations surveyed. This therefore limits the likelihood of broader benefits such as incorporation into global supply chains, disintermediation, and improved competitiveness. Turning this somewhat disappointing e-commerce picture around requires a multiprong strategy aimed at building the resources and capabilities of businesses, developing electronic-mediated business routines with partners and customers, and addressing national e-readiness and global trade regulation issues. 相似文献
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移动互联网技术不仅使社交、购物、新闻等移动APP 得到广泛使用,同时也使移动支付变得简单。一方面移动APP 促进用户把线下的商务休闲活动转移到线上,另一方面用户与移动APP之间的交互促成了新的商业营销模式———社交化电商营销。移动互联网环境下商品和用户是一种推荐关系,如何进行社交化电商营销已成为诸多企业共同面临的难题。本文以京东、网易新闻、Facebook为例,介绍一种最新社交化电商营销模式,并在分析国内外模式差异基础上,提出几点关于我国企业未来开展移动互联网社交化电商营销的建议。 相似文献
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Developing countries are home to more than 80% of the world's population, and are the site for growing use of e-commerce. There are theoretical claims that e-commerce could bring significant benefits to firms in developing countries, but we know very little empirically about the actual outcomes of e-commerce implementation. Our article addresses this gap in knowledge through a survey of 92 businesses in South Africa, all of which have moved beyond the basic stage of e-commerce. The findings indicate that e-commerce benefits are, by and large, limited to improvements in intra- and interorganizational communications. More strategic benefits relating to market access, customer/supplier linkages or cost savings were not found in the majority (more than 80%) of organizations surveyed. This therefore limits the likelihood of broader benefits such as incorporation into global supply chains, disintermediation, and improved competitiveness. Turning this somewhat disappointing e-commerce picture around requires a multiprong strategy aimed at building the resources and capabilities of businesses, developing electronic-mediated business routines with partners and customers, and addressing national e-readiness and global trade regulation issues. 相似文献
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Managing personal information such as to-dos and contacts has become our daily routines, consuming more time than needed. Existing PIM tools require extensive involvement of human users. This becomes a problem in using mobile devices due to their physical constraints. To address the limitations of traditional PIM tools, we propose a model of mobile PIM agent (PIMA) that aims to improve PIM on mobile devices through natural language interface and application integration. We conducted a user study to evaluate PIMA empirically with prototype systems. The results show that mobile PIMA improved perceived usefulness, ease-of-use, and efficiency of PIM on mobile devices, which in turn accounted for positive attitude and intention to use the system. The findings of this study provide suggestions for designing and developing PIM applications on mobile devices. 相似文献
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采用多案例研究的方法,从跨境进口物流和跨境出口物流两个角度,探讨物流企业主导型跨境电商生态系统构建路径,并揭示物流企业主导型跨境电商生态系统的一般演化规律。研究发现：物流企业主导型跨境电商生态系统可分为物流企业主导的融合型跨境电商生态系统和物流企业主导的独立型跨境电商生态系统;跨境电商平台是物流企业主导型跨境电商生态系统的核心物种,其产生的新的资源及需求是系统演化发展的动力;物流企业主导型跨境电商生态系统的演化路径是：量贩式微利发展阶段-嵌入式服务增值阶段-集成式综合服务阶段,随着发展阶段的演进,物流企业与跨境电商生态系统中其他物种的关系日渐紧密。 相似文献
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采用系统动力学方法 ,用vensim软件构建电子商务环境下考虑促销的大规模定制产品库存模型。通过与非定制产品的比较分析得出,尽管定制产品提高了库存总成本和库存水平,但是可以获得更高的服务水平,定制产品库存成本对补货启动成本的敏感性高于非定制产品,而对产品成本、持货成本系数和缺货成本系数以及需求量变化的敏感性则较低。 相似文献
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《International Journal of Information Management》2017,37(5):357-366
Mobile agent technology has been used in various applications including e-commerce, information processing, distributed network management, and database access. Information search and retrieval can be conducted by mobile agents in a decentralized system. As compared with the client/server model, the mobile agent approach has an advantage of saving network bandwidth and offering flexibility in information search and retrieval. In this paper, we present a model for mobile agents to select the most reputable information host to search and retrieve information. We use opinion-based belief structure to represent, aggregate and calculate the reputation of an information host. Since reputation is a multi-faced concept, our approach first allows the users to rank each information host's quality of service based on a set of evaluation categories. Then, a comprehensive, final reputation of the host is obtained by aggregating those specific category reputations. To recognize the subjective nature of a reputation, the transferable belief model is used to represent and rank the category reputation. Experiments are conducted using the Aglets technology to illustrate mobile agent migration. 相似文献
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This study enhances the existing literature on online trust by integrating the consumers’ product evaluations model and technology adoption model in e-commerce environments. In this study, we investigate how perceived value influences the perceptions of online trust among online buyers and their willingness to repurchase from the same website. This study proposes a research model that compares the relative importance of perceived value and online trust to perceived usefulness in influencing consumers’ repurchase intention. The proposed model is tested using data collected from online consumers of e-commerce. The findings show that although trust and e-commerce adoption components are critical in influencing repurchase intention, product evaluation factors are also important in determining repurchase intention. Perceived quality is influenced by the perceptions of competitive price and website reputation, which in turn influences perceived value; and perceived value, website reputation, and perceived risk influence online trust, which in turn influence repurchase intention. The findings also indicate that the effect of perceived usefulness on repurchase intention is not significant whereas perceived value and online trust are the major determinants of repurchase intention. Major theoretical contributions and practical implications are discussed. 相似文献
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移动商务是电子商务的一个分支,移动商务是通过移动通信网络数据传输,使用移动信息终端参与各种商业经营活动的一种新的电子商务模型,它是新技术条件、新的市场环境下的新的电子商务的形式。本文采用J2ME开发了一款移动商务应用程序,主要是针对用户的重要私人信息,例如通信录、记事本、日程安排等数据进行管理。该程序能够实现各种事务的添加、修改、删除、分组、查询、账务管理等。 相似文献
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为了解决电子商务平台中存在的虚假交易问题,本文依据商品的销售记录以及商家的基本信息,提出了一种结合深度置信网络和多层感知器的虚假交易识别方法,通过识别出以通过刷单增加销量的商品来识别虚假交易。首先利用深度置信网络对交易特征进行学习,得到更高层次的抽象特征;然后利用多层感知器进行分类任务,从而识别出虚假交易。从淘宝中爬取商品的交易记录和评论数据进行实验验证,与其他机器学习模型的实验结果进行对比,其性能有明显的提升。 相似文献
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检索2002—2011年国内关于移动电子商务研究的论文,从论文年度分布、期刊分布、作者及作者单位分布、论文主题分布等方面进行文献统计分析,按移动电子商务的模式、移动支付、安全认证、相关技术等4个方面对论文研究主题进行概述,并对移动电子商务的未来发展趋势进行预测。 相似文献
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《Information processing & management》2020,57(5):102221
Although statistical learning methods have achieved success in e-commerce platform product review sentiment classification, two problems have limited its practical application: 1) The computational efficiency to process large-scale reviews; 2) the ability to continuously learn from increasing reviews and multiple domains. This paper presents a continuous naïve Bayes learning framework for large-scale and multi-domain e-commerce platform product review sentiment classification. While keeping the high computational efficiency of the traditional naïve Bayes model, we extend the parameter estimation mechanism in naïve Bayes to a continuous learning style. We furthermore propose ways to fine-tune the learned distribution based on three kinds of assumptions to better adapt to different domains. Experimental results on the Amazon product and movie review sentiment datasets show that our model can use the knowledge learned from past domains to guide learning in new domains, and has a better capacity of dealing with reviews that are continuously updated and come from different domains. 相似文献
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【目的/意义】移动网络社群团购作为新兴的电子商务新业态,越来越多地受到资本和市场的关注。本研究
从信息生态视角出发,对移动网络社群用户团购信息采纳影响因素进行探究。【方法/过程】通过扎根理论的研究方
法,对用户进行半结构化访谈,并进行编码分析,得出43个初始概念,14个范畴和5个主范畴。【结果/结论】构建了
移动网络社群用户团购信息采纳的影响因素模型,解释了其影响方式,为后续研究提供参考和启示,并针对移动网
络社群用户团购信息采纳动因提供优化策略。【创新/局限】本文基于信息生态视角针对移动网络社群用户的团购
信息采纳动因展开研究,探索电商新业态下的用户对信息采纳的影响因素,对于移动网络社群、团购、信息采纳
等相关领域具有创新性。但未探究影响因素之间的条件组合效应对移动网络社群用户团购信息采纳动因的影响,
未来研究将着眼于影响因素间的组态效应对移动网络社群用户团购信息采纳意愿的影响机制。 相似文献
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Blockchain technology provides us a new tool to solve the product traceability problem in supply chain management. This research focuses on the cross-border e-commerce context, to propose a blockchain-based framework, and develop a set of corresponding techniques and methods for achieving traceable products and transactions in supply chain management. A general blockchain-based product traceability framework is introduced. This framework is based on a cross-border e-commerce supply chain context, incorporating a series of blockchain-based models, including multi-chain structure model, data management model and block structure model. Several core methods and algorithms are also developed, such as information anchoring method, key distribution method, information encryption algorithm and anti-counterfeiting method. The framework, models and methods form a complete and comprehensive solution, which are evaluated by applying to several typical problems and attack cases. The case analysis results show that the framework, models and methods can successfully deal with key recover problem, and protect against clone attack, counterfeit tag attack and counterfeit product attack. The effectiveness, extendibility, security, implementation and governance issues of applying these solutions are also discussed. This research contributes to the theoretical and practical literatures on blockchain technology, cross-border e-commerce and supply chain management research fields. 相似文献
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Social commerce (s-commerce) has become increasingly impactful to e-commerce and has generated potential economic benefits. With the rise of online privacy concerns, we have seen the need to explain how concerns about privacy affect consumers’ social interaction behavior and purchase decision-making on s-commerce sites. Synthesizing the privacy-trust-behavioral intention (PTB) and consumer decision-making models, this study proposes a comprehensive model by specifically refining its privacy and trust from an institutional perspective and investigating the influences of social interaction on purchase intention and actual purchase behaviors. Our results found that institutional privacy assurance positively influences institutional-based trust, which, in turn, affects online social interactions, and consequently increases the likelihood of product purchases on s-commerce sites. Theoretical development of this research contributes to both marketing and information systems disciplines in the social media era. 相似文献
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《Information processing & management》2019,56(3):823-843
A vast number of user opinions are available from reviews posted on e-commerce websites. Although these opinions are a valuable source of knowledge for both manufacturers and customers, they provide volumes of information that exceeds the human cognitive processing capacity, which can be a major bottleneck for their effective use. To address this problem, a number of opinion-summarization methods have been proposed to organize these opinions by grouping them around aspects. However, these methods tend to generate an excessive number of aspect groups that are frequently overly generic and difficult to interpret. We argue that a superior alternative would be to organize opinions around product attributes as defined in a product catalog. Typically, product attributes correspond to the most important characteristics of the products. Furthermore, they are common to all products in a given category and thus, form a more stable set than aspects. In this paper, we propose a novel approach called OpinionLink to products in a catalog at the attribute granularity level with opinions extracted from product reviews. The proposed approach is divided into two phases. In the first phase, OpinionLink uses a classifier to identify opinionated sentences in the reviews on a particular product. In the second phase, another classifier is used to map the opinions that were previously extracted from the user reviews to the attributes of the products in the product catalog. We performed a series of experiments on these phases. For the first phase, our experiments indicated that using classifiers with the proposed features achieved an average of 0.87 in terms of F1 measure for the task of identifying opinionated sentences. In the second phase, the method we proposed for the opinion-mapping task achieved an average of 0.85 in terms of F1. Further, we verified the effectiveness of the proposed approach as a realistic end-to-end application, indicating that we can use OpinionLink in a real setting. Finally, we empirically demonstrate the feasibility of using the proposed approach with an extremely large volume of opinions available in a collection of more than 600,000 real reviews. We also set forth a number of directions for future research. 相似文献