A literature review and classification of recommender systems research

Recommender systems have become an important research field since the emergence of the first paper on collaborative filtering in the mid-1990s. Although academic research on recommender systems has increased significantly over the past 10 years, there are deficiencies in the comprehensive literature review and classification of that research. For that reason, we reviewed 210 articles on recommender systems from 46 journals published between 2001 and 2010, and then classified those by the year of publication, the journals in which they appeared, their application fields, and their data mining techniques. The 210 articles are categorized into eight application fields (books, documents, images, movie, music, shopping, TV programs, and others) and eight data mining techniques (association rule, clustering, decision tree, k-nearest neighbor, link analysis, neural network, regression, and other heuristic methods). Our research provides information about trends in recommender systems research by examining the publication years of the articles, and provides practitioners and researchers with insight and future direction on recommender systems. We hope that this paper helps anyone who is interested in recommender systems research with insight for future research direction.     

基于FCM算法的电子商务客户分类研究

面对电子商务模式下电商对客户竞争的现状,针对传统的客户分类方法的不足,设计了一种基于FCM模糊聚类算法客户分类的并行算法。实验结果表明设计的方法能准确地对电商客户分类,在MATLAB集群下并行算法的运行取得了明显的并行效果。     

A literature review of electronic marketplace research: Themes, theories and an integrative framework

In this paper, we presented a literature review of the current status of electronic marketplace (EM) research. It consists of 109 journal articles published in 19 journals that are appropriate outlets for electronic commerce research. The results show that an increasing volume of EM research has been conducted from diverse theoretical perspectives. Based on content analysis, we identified eight research themes, five types of methodologies and six categories of background theories which most EM researches were grounded in. By combining research themes and the patterns of the background theories, an integrative framework of EM was proposed to represent the paradigms of EM researches. The framework shows that EM phenomena can be addressed from three perspectives: information systems, inter-organizational/social structure and strategic management perspectives. This framework suggests a parsimonious and cohesive way to explain key EM research issues such as EM adoption, success and impact.

Data properties and the performance of sentiment classification for electronic commerce applications

Sentiment classification has played an important role in various research area including e-commerce applications and a number of advanced Computational Intelligence techniques including machine learning and computational linguistics have been proposed in the literature for improved sentiment classification results. While such studies focus on improving performance with new techniques or extending existing algorithms based on previously used dataset, few studies provide practitioners with insight on what techniques are better for their datasets that have different properties. This paper applies four different sentiment classification techniques from machine learning (Naïve Bayes, SVM and Decision Tree) and sentiment orientation approaches to datasets obtained from various sources (IMDB, Twitter, Hotel review, and Amazon review datasets) to learn how different data properties including dataset size, length of target documents, and subjectivity of data affect the performance of those techniques. The results of computational experiments confirm the sensitivity of the techniques on data properties including training data size, the document length and subjectivity of training /test data in the improvement of performances of techniques. The theoretical and practical implications of the findings are discussed.     

A resource-based view of electronic commerce

A management theory known as the resource-based view of the firm states that resources foster organizational success. Our study of e-commerce retailers applied this theory to examine the effects of human, business, and e-commerce technology resources on firm competitiveness. An e-mail and Web-based survey used 458 responses from site managers. Business and e-commerce technology resources, as well as the individual business resource of process redesign, were found to predict e-commerce performance, whereas human resources did not. E-commerce performance, in turn, predicted firm performance. These findings partially support the resource-based view and coincide with differences between physical and e-commerce retailing.     

Assessing scorecard performance: A literature review and classification

The assessment of scorecard performance in the field of credit scoring is of major relevance to firms. This study presents the first systematic academic literature review of how empirical benchmark studies assess scorecard performance in the field of credit scoring. By analysing 62 comparative studies, this study provides two main contributions. First, this study provides a systematic overview of the assessment-related decisions of all the reviewed studies based on a classification framework. Second, the assessment criteria of consistency, application fit, and transparency are introduced and used to discuss the observed assessment-related decisions. As the findings show, researchers often pay insufficient attention to ensuring the consistent assessment of scorecard performance. Moreover, the majority of the reviewed studies choose performance indicators that failed to fit the application context and provided non-transparent assessment documentation. In conclusion, these researchers pay a great deal of attention to the development of scorecards, but they often fail to implement a straightforward assessment procedure.     

Ontologies and electronic commerce

Ontologies are the first step toward realizing the full power of online e-commerce. Ontologies enable machine-understandable semantics of data, and building this data infrastructure will enable completely new kinds of automated services. Software agents can search for products, form buyer and seller coalitions, negotiate about products, or help automatically configure products and services according to specified user requirements. The combination of machine-processable semantics of data based on ontologies and the development of many specialized reasoning services will bring the Web to its full power. The authors discuss: taxonomies; information sources; future issues; business viewpoints; the e-marketplace; and B2B e-commerce standardisation and integration.     

A critical review of research on electronic mail

This paper reviews the literature on email (including computer conferencing) and discusses the most important current issues in the field. Though it will be of interest to researchers working specifically in the email field, it is intended mainly as a summary for IS researchers in other areas. Email research is part of a wider field, computer-mediated communication (CMC), which includes some areas not covered here, such as the Internet, video conferencing and EDI. Most research on email has concerned itself with the issues of media choice and media effects. Despite a great deal of published work though, the field still has an unsatisfactory, piecemeal feel to it. Much of the work that has been published is unsatisfactory in being based upon unrealistic, laboratory-like simulations, and a positivist epistemology. Most of the work concerns the use of email and the effects of using email on individuals and groups; little has been done on the effects at an organizational level. The paper concludes with some suggestions for future avenues of research.     

A strategic framework for developing electronic commerce

Digital interactive services (DISs) define a new utility for facilitating electronic markets and commerce. Companies from the content, communications, computing and financial services industries are already merging to optimize their DIS capabilities. This article suggests a framework for analyzing DIS structures and dynamics     

On agent-mediated electronic commerce

This paper surveys and analyzes the state of the art of agent-mediated electronic commerce (e-commerce), concentrating particularly on the business-to-consumer (B2C) and business-to-business (B2B) aspects. From the consumer buying behavior perspective, agents are being used in the following activities: need identification, product brokering, buyer coalition formation, merchant brokering, and negotiation. The roles of agents in B2B e-commerce are discussed through the business-to-business transaction model that identifies agents as being employed in partnership formation, brokering, and negotiation. Having identified the roles for agents in B2C and B2B e-commerce, some of the key underpinning technologies of this vision are highlighted. Finally, we conclude by discussing the future directions and potential impediments to the wide-scale adoption of agent-mediated e-commerce.     

A practical anonymous payment scheme for electronic commerce

We propose a practical anonymous payment scheme with anonymous accounts. By means of our proposed scheme, the size of a bank's database is dramatically reduced. Also, the issue of e-coins for an anonymous account is controlled by several issuers, who represent a bank and who can be chosen by the customer or assigned by the system, on the current available issuers list according to the internet conditions. Our scheme does not require the assistance of a mutually entrusted third party.     

A flaw in the electronic commerce protocol SET

The Secure Electronic Transaction (SET) protocol has been developed by the major credit card companies in association with some of the top software corporations to secure e-commerce transactions. This paper recalls the basics of the SET protocol and presents a new flaw: a dishonest client may purchase goods from an honest merchant (with the help of another merchant) for which he does not pay. Fortunately, by checking his balance sheet, the merchant may trace with the help of his bank the client and his accomplice. We also propose a modification to fix the flaw.     

Accountability in electronic commerce protocols

In most commercial and legal transactions, the ability to hold individuals or organizations accountable for transactions is important. Hence, electronic protocols that implement commercial transactions must be designed to provide adequate accountability assurances for transacting parties. A framework is proposed for the analysis of communication protocols that require accountability, such as those for electronic commerce. This framework can be used to analyze protocol designs to detect accountability (or lack thereof). Arguments are presented to show that a heretofore unexplored property “provability” is pertinent to examining the potential use of communication protocols in the context of litigation, and in the context of audit. A set of postulates which are applicable to the analysis of proofs in general and the proofs of accountability in particular, are proposed. The proposed approach is more natural for the analysis of accountability than the existing belief logics (e.g., M. Burrows et al., 1990) that have been used in the past for the analysis of key distribution protocols. Some recently proposed protocols for electronic commerce and public key delegation are analyzed to illustrate the use of the new analysis framework in detecting (and suggesting remedies for eliminating) their lack of accountability, and in detecting and eliminating redundancies     

A systematic literature review of software requirements prioritization research

ContextDuring requirements engineering, prioritization is performed to grade or rank requirements in their order of importance and subsequent implementation releases. It is a major step taken in making crucial decisions so as to increase the economic value of a system.ObjectiveThe purpose of this study is to identify and analyze existing prioritization techniques in the context of the formulated research questions.MethodSearch terms with relevant keywords were used to identify primary studies that relate requirements prioritization classified under journal articles, conference papers, workshops, symposiums, book chapters and IEEE bulletins.Results73 Primary studies were selected from the search processes. Out of these studies; 13 were journal articles, 35 were conference papers and 8 were workshop papers. Furthermore, contributions from symposiums as well as IEEE bulletins were 2 each while the total number of book chapters amounted to 13.ConclusionPrioritization has been significantly discussed in the requirements engineering domain. However, it was generally discovered that, existing prioritization techniques suffer from a number of limitations which includes: lack of scalability, methods of dealing with rank updates during requirements evolution, coordination among stakeholders and requirements dependency issues. Also, the applicability of existing techniques in complex and real setting has not been reported yet.