2018 IEEE 15th International Conference on e-Business Engineering (ICEBE)最新文献_第4页

Attractor for a Strongly Damped Lattice System with Nonlinear Damping 具有非线性阻尼的强阻尼格系的吸引子

2018 IEEE 15th International Conference on e-Business Engineering (ICEBE) Pub Date : 2018-10-01 DOI: 10.1109/ICEBE.2018.00057

Hongyan Li, Rui Zhang

引用次数: 0

A Study on the Applications of Big Data in Cross-Border E-Commerce 大数据在跨境电子商务中的应用研究

2018 IEEE 15th International Conference on e-Business Engineering (ICEBE) Pub Date : 2018-10-01 DOI: 10.1109/ICEBE.2018.00053

Xuesong Zhao

引用次数: 12

Research on the Memory of Online Advertising Based on Eye-Tracking Technology 基于眼动追踪技术的网络广告记忆研究

2018 IEEE 15th International Conference on e-Business Engineering (ICEBE) Pub Date : 2018-10-01 DOI: 10.1109/ICEBE.2018.00061

Yao Lu, Wei Qi, J. Qin

引用次数: 2

Application Layer Challenges and Adoption Barriers to Internet Based Advanced Communication Technologies In SME 中小企业基于Internet的先进通信技术的应用层挑战和采用障碍

2018 IEEE 15th International Conference on e-Business Engineering (ICEBE) Pub Date : 2018-10-01 DOI: 10.1109/ICEBE.2018.00060

N. Kuruwitaarachch

{"title":"Application Layer Challenges and Adoption Barriers to Internet Based Advanced Communication Technologies In SME","authors":"N. Kuruwitaarachch","doi":"10.1109/ICEBE.2018.00060","DOIUrl":"https://doi.org/10.1109/ICEBE.2018.00060","url":null,"abstract":"Successful integration of advance communication technologies with different business models are playing a significant role in business development in various industries today. This integration gives business agility other numerus benefits. Therefore, organizations are focus on adopting to well-known key technologies quickly and experience the main advantages. Out of many applications Electronic business (E-business) though Electronic commerce (E-commerce) transactions has special attention from all the industries as it has becoming one of the primary level requirements to industrial development in different domains. But when analyzing the empirical studies and similar projects, organizations are faced different incompatibility issues with stakeholders without having comprehensive e-business models. This makes various barriers for business development. In this study focus on how organizations should start moving to new advance communication technologies and how to address key technical challenges in the deployment process. As this is critical in developing countries than developed many studies required to analyze this issue and start e-business operations. This research present literature in developing countries with strong theoretical and empirical background analysis. Finally, this study suggests main identical barriers to move in to information and communication technological solutions or models and showing a research avenue to overcome those through modeling a testable framework.","PeriodicalId":221376,"journal":{"name":"2018 IEEE 15th International Conference on e-Business Engineering (ICEBE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129910001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

A Survey on Chatbot Implementation in Customer Service Industry through Deep Neural Networks 基于深度神经网络的客服行业聊天机器人实现研究

2018 IEEE 15th International Conference on e-Business Engineering (ICEBE) Pub Date : 2018-10-01 DOI: 10.1109/ICEBE.2018.00019

M. Nuruzzaman, O. Hussain

{"title":"A Survey on Chatbot Implementation in Customer Service Industry through Deep Neural Networks","authors":"M. Nuruzzaman, O. Hussain","doi":"10.1109/ICEBE.2018.00019","DOIUrl":"https://doi.org/10.1109/ICEBE.2018.00019","url":null,"abstract":"Nowadays it is the era of intelligent machine. With the advancement of artificial intelligent, machine learning and deep learning, machines have started to impersonate as human. Conversational software agents activated by natural language processing is known as chatbot, are an excellent example of such machine. This paper presents a survey on existing chatbots and techniques applied into it. It discusses the similarities, differences and limitations of the existing chatbots. We compared 11 most popular chatbot application systems along with functionalities and technical specifications. Research showed that nearly 75% of customers have experienced poor customer service and generation of meaningful, long and informative responses remains a challenging task. In the past, methods for developing chatbots have relied on hand-written rules and templates. With the rise of deep learning these models were quickly replaced by end-to-end neural networks. More specifically, Deep Neural Networks is a powerful generative-based model to solve the conversational response generation problems. This paper conducted an in-depth survey of recent literature, examining over 70 publications related to chatbots published in the last 5 years. Based on literature review, this study made a comparison from selected papers according to method adopted. This paper also presented why current chatbot models fails to take into account when generating responses and how this affects the quality conversation.","PeriodicalId":221376,"journal":{"name":"2018 IEEE 15th International Conference on e-Business Engineering (ICEBE)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126858906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 122

A Social Network Model Based on the Community Evolutions 基于社区进化的社会网络模型

2018 IEEE 15th International Conference on e-Business Engineering (ICEBE) Pub Date : 2018-10-01 DOI: 10.1109/ICEBE.2018.00044

Zhenming Liu, Y. Chai, Yi Liu, Zequn Li

引用次数: 0

Scenario-Based Microservice Retrieval Using Word2Vec 基于场景的Word2Vec微服务检索

2018 IEEE 15th International Conference on e-Business Engineering (ICEBE) Pub Date : 2018-10-01 DOI: 10.1109/ICEBE.2018.00046

Shang-Pin Ma, Yen Chuang, Ci-Wei Lan, Hsi-Min Chen, Chun-Ying Huang, Chia-Yu Li

{"title":"Scenario-Based Microservice Retrieval Using Word2Vec","authors":"Shang-Pin Ma, Yen Chuang, Ci-Wei Lan, Hsi-Min Chen, Chun-Ying Huang, Chia-Yu Li","doi":"10.1109/ICEBE.2018.00046","DOIUrl":"https://doi.org/10.1109/ICEBE.2018.00046","url":null,"abstract":"Microservice architecture (MSA) is an emerging software architectural style, which differs fundamentally from the monolithic, layered architecture. During the development and maintenance of microservice systems, how to provide an effective service retrieval mechanism is a critical challenge to avoid the problems of rework and duplicate code. Meanwhile, nowadays, using the BDD (Behavior-Driven Development) method to develop microservices becomes more and more popular due to its agility and domain-driven characteristics. BDD is an agile software development approach emphasizing that test cases are written in a common language to include scenarios that describe the features of a target system. In this paper, we propose an approach, referred to as SMSR (Scenario-based MicroService Retrieval), to recommend appropriate microservices to users based on the user-written BDD test scenarios. The proposed service retrieval algorithm is based on word2vec, a widely-used machine learning method in NLP (Natural Language Processing), to perform service filtering and service similarity calculation. Experiment results show that SMSR is able to effectively retrieve appropriate microservices from the service repository.","PeriodicalId":221376,"journal":{"name":"2018 IEEE 15th International Conference on e-Business Engineering (ICEBE)","volume":"141 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131354032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Customer Segmentation and Strategy Development Based on User Behavior Analysis, RFM Model and Data Mining Techniques: A Case Study 基于用户行为分析、RFM模型和数据挖掘技术的客户细分和策略制定:一个案例研究

2018 IEEE 15th International Conference on e-Business Engineering (ICEBE) Pub Date : 2018-10-01 DOI: 10.1109/ICEBE.2018.00027

Mohammadreza Tavakoli, M. Molavi, Vahid Masoumi, M. Mobini, Sadegh Etemad, R. Rahmani

引用次数: 29

Is It Beneficial to Provide Historical Price Information Under Social Influence? 在社会影响下提供历史价格信息是否有益?

2018 IEEE 15th International Conference on e-Business Engineering (ICEBE) Pub Date : 2018-10-01 DOI: 10.1109/ICEBE.2018.00043

Mei Xue, Xinyu Sun, Jiayin Wang, Yuqiu Wang

引用次数: 0

Solution and Reference Recommendation System Using Knowledge Fusion and Ranking 基于知识融合和排序的解决方案与参考推荐系统

2018 IEEE 15th International Conference on e-Business Engineering (ICEBE) Pub Date : 2018-10-01 DOI: 10.1109/ICEBE.2018.00016

Yu Zhang, Morteza Saberi, Elizabeth Chang, A. Abbasi

{"title":"Solution and Reference Recommendation System Using Knowledge Fusion and Ranking","authors":"Yu Zhang, Morteza Saberi, Elizabeth Chang, A. Abbasi","doi":"10.1109/ICEBE.2018.00016","DOIUrl":"https://doi.org/10.1109/ICEBE.2018.00016","url":null,"abstract":"Building various types of recommendation systems has been a long-term goal for information management community in the last decades. Knowledge based recommendation systems have been studied widely in different areas to provide comprehensiveness information to users aiming at making the desired systems accessible and efficient. However, developing recommendation systems based on knowledge (academic papers) of subject-specific research fields has been neglected. Such systems can potentially return higher practical and theoretical values for both industry and academia communities. In this study, the concept of solution-oriented information network (SIN) is introduced which contains the information of research issues and proposed solutions embraced in the academic papers. A Knowledge based Solution and Reference Recommendation System (KSRRS) is then developed based on the knowledge included in the SIN. The constructed KSRRS ranks the solutions and recommends the superior solutions to any identified issue. KSRRS relies on two integrated modules: knowledge fusion module, and knowledge ranking module. The knowledge fusion module automatically extracts and reconstruct required information into a knowledge map, and the map is then augmented with a novel feature of knowledge ranking by using the ranking module. Evaluation experiment is constructed to build the customized knowledge map in a practical scenario in which intrusion detection is selected as the subject-specific field for demonstration.","PeriodicalId":221376,"journal":{"name":"2018 IEEE 15th International Conference on e-Business Engineering (ICEBE)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122598714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4