2017 3th International Conference on Web Research (ICWR)最新文献

Multi-objective job scheduling algorithm in cloud computing based on reliability and time 基于可靠性和时间的云计算多目标作业调度算法

2017 3th International Conference on Web Research (ICWR) Pub Date : 2017-04-19 DOI: 10.1109/ICWR.2017.7959312

F. Azimzadeh, F. Biabani

{"title":"Multi-objective job scheduling algorithm in cloud computing based on reliability and time","authors":"F. Azimzadeh, F. Biabani","doi":"10.1109/ICWR.2017.7959312","DOIUrl":"https://doi.org/10.1109/ICWR.2017.7959312","url":null,"abstract":"The rapid growth of cloud services and the growing user demands on resources have led to the development and popularity of cloud networks. This environment gives users an impression of infinite resources so the resources can be used on demand. Cloud resource providers wish to gain the most efficiency from its own resources. Their main objective is to reduce cost and maximize revenue from providing services for users. Users also desire to minimize their costs and achieve their required efficiency. Proper use of resources in the cloud is a challenge; therefore proper task scheduling is an important issue while responding to the requests in the shortest time requires proper resource management, which enables the handling of many requests with the number of sources identified. Time reduction is one of the main concerns of cloud resource providers, on the other hand, increased reliability leads to more confidence for the users. Time and reliability are two conflicting objectives, thus resource allocation methods with multi-objective optimization that simultaneously consider multiple conflicting objectives are put in use. In this study, the method presented for resource management and task assignment in cloud environment accounts for the optimized state of both time reduction and reliability enhancement for the system.","PeriodicalId":304897,"journal":{"name":"2017 3th International Conference on Web Research (ICWR)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133132083","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: 9

Recommender system for Persian blogs 波斯语博客推荐系统

2017 3th International Conference on Web Research (ICWR) Pub Date : 2017-04-19 DOI: 10.1109/ICWR.2017.7959314

Zeinab Borhanifard, B. Minaei-Bidgoli

引用次数: 2

Analyzing users' preferred color on websites based on demographic features 根据人口统计特征分析用户在网站上的首选颜色

2017 3th International Conference on Web Research (ICWR) Pub Date : 2017-04-01 DOI: 10.1109/ICWR.2017.7959320

Neda Mohammadian, Fakhroddin Noorbehbahani

引用次数: 1

Search engine pictures: Empirical analysis of a web search engine query log 搜索引擎图片:对一个web搜索引擎查询日志的实证分析

2017 3th International Conference on Web Research (ICWR) Pub Date : 2017-04-01 DOI: 10.1109/ICWR.2017.7959311

Farzaneh Shoeleh, M. Zahedi, M. Farhoodi

{"title":"Search engine pictures: Empirical analysis of a web search engine query log","authors":"Farzaneh Shoeleh, M. Zahedi, M. Farhoodi","doi":"10.1109/ICWR.2017.7959311","DOIUrl":"https://doi.org/10.1109/ICWR.2017.7959311","url":null,"abstract":"Since the use of internet has incredibly increased, it becomes an important source of knowledge about anything for everyone. Therefore, the role of search engine as an effective approach to find information is critical for internet's users. The study of search engine users' behavior has attracted considerable research attention. These studies are helpful in developing more effective search engine and are useful in three points of view: for users at the personal level, for search engine vendors at the business level, and for government and marketing at social society level. These kinds of studies can be done through analyzing the log file of search engine wherein the interactions between search engine and the users are captured. In this paper, we aim to present analyses on the query log of a well-known and most used Persian search engine. Our analyses are presented in three main categories: 1) Stats-based analyses, 2) Temporal- based analyses, and 3) Topic-based analyses. The obtained results are promising. Mobile users often posted queries in weekends, whereas Web users utilize the search engine in workweeks. The majority of queries posted form most-populated cities. Additionally, Iranians are mostly interested in political, social, and economical topics.","PeriodicalId":304897,"journal":{"name":"2017 3th International Conference on Web Research (ICWR)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127970328","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

Sustainable Internet service provider selection: Affected by internal and external factors (quality and reputation) 可持续的互联网服务提供商选择:受内外部因素(质量和声誉)的影响

2017 3th International Conference on Web Research (ICWR) Pub Date : 2017-04-01 DOI: 10.1109/ICWR.2017.7959323

Nastaran Hajiheydari, Babak Hazaveh Hesar Maskan, Mahdi Ashkani

{"title":"Sustainable Internet service provider selection: Affected by internal and external factors (quality and reputation)","authors":"Nastaran Hajiheydari, Babak Hazaveh Hesar Maskan, Mahdi Ashkani","doi":"10.1109/ICWR.2017.7959323","DOIUrl":"https://doi.org/10.1109/ICWR.2017.7959323","url":null,"abstract":"Although recent studies have provided a framework for determining factors contributing online retailers' success, they have not been successful in recognizing that customer decision-making process is mostly influenced by internal factors of the websites (e.g. navigation, color and graphics). Although website quality is important, it provides only a subset of the evaluation criteria for service provider. Other features of online retailers can play important roles in influencing customer's response. This study considers external (i.e. reputation) and internal factors (i.e. quality of the website) as factors affecting the customer's opinion about the website of companies offering broadband services in Iran. Structural Equation Modeling (SEM) has been used for data analysis. The findings show that security and confidentiality of data have a significant and positive impact on reputation. Moreover, web design and customer services have a significant positive effect on positive emotions of the customers. In addition, we found that security and confidentiality of data have a significant positive effect on perceived risk, and positive emotions have a significant positive effect on purchase intention. Finally, perceived risk has a positive impact on negative emotions.","PeriodicalId":304897,"journal":{"name":"2017 3th International Conference on Web Research (ICWR)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133281207","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: 0

Incremental anomaly-based intrusion detection system using limited labeled data 基于有限标记数据的增量异常入侵检测系统

2017 3th International Conference on Web Research (ICWR) Pub Date : 2017-04-01 DOI: 10.1109/ICWR.2017.7959324

Parisa Alaei, Fakhroddin Noorbehbahani

{"title":"Incremental anomaly-based intrusion detection system using limited labeled data","authors":"Parisa Alaei, Fakhroddin Noorbehbahani","doi":"10.1109/ICWR.2017.7959324","DOIUrl":"https://doi.org/10.1109/ICWR.2017.7959324","url":null,"abstract":"With the proliferation of the internet and increased global access to online media, cybercrime is also occurring at an increasing rate. Currently, both personal users and companies are vulnerable to cybercrime. A number of tools including firewalls and Intrusion Detection Systems (IDS) can be used as defense mechanisms. A firewall acts as a checkpoint which allows packets to pass through according to predetermined conditions. In extreme cases, it may even disconnect all network traffic. An IDS, on the other hand, automates the monitoring process in computer networks. The streaming nature of data in computer networks poses a significant challenge in building IDS. In this paper, a method is proposed to overcome this problem by performing online classification on datasets. In doing so, an incremental naive Bayesian classifier is employed. Furthermore, active learning enables solving the problem using a small set of labeled data points which are often very expensive to acquire. The proposed method includes two groups of actions i.e. offline and online. The former involves data preprocessing while the latter introduces the NADAL online method. The proposed method is compared to the incremental naive Bayesian classifier using the NSL-KDD standard dataset. There are three advantages with the proposed method: (1) overcoming the streaming data challenge; (2) reducing the high cost associated with instance labeling; and (3) improved accuracy and Kappa compared to the incremental naive Bayesian approach. Thus, the method is well-suited to IDS applications.","PeriodicalId":304897,"journal":{"name":"2017 3th International Conference on Web Research (ICWR)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124129928","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: 27

The impact of quality of service, website, shopping experience and infrastructure on online customers' loyalty 服务质量、网站、购物体验和基础设施对在线顾客忠诚度的影响

2017 3th International Conference on Web Research (ICWR) Pub Date : 2017-04-01 DOI: 10.1109/ICWR.2017.7959322

S. H. Jafarpour, A. Mahmoudabadi, Azam Andalib

{"title":"The impact of quality of service, website, shopping experience and infrastructure on online customers' loyalty","authors":"S. H. Jafarpour, A. Mahmoudabadi, Azam Andalib","doi":"10.1109/ICWR.2017.7959322","DOIUrl":"https://doi.org/10.1109/ICWR.2017.7959322","url":null,"abstract":"The emergence of electronic commerce led to a situation that many companies tend to take advantage of this space, but the main problem with this type of business is to retain customers and build loyalty in them. Ease of access to other companies in case of dissatisfaction allows customers to quickly refer to other competing companies. Therefore, customer satisfaction is very important. Considering the importance of customer loyalty in this business, in this study the impacts of some affecting factors in electronic loyalty was investigated. This study is using the samples of 378 people obtained from Cochran formula that have been selected from one of the neighborhoods of Tehran called Narmak with a population of 25,000 people and they all had the experience of online shopping. In this study, SPSS software and multivariate regression analysis were used for data analysis. The result of this study showed that the quality of services, website quality, infrastructure and electronic shopping experience in the order of priority has an impact on electronic loyalty. It is worth mentioning that considering the survey results of this research they can be used for obtaining customer satisfaction in e-commerce.","PeriodicalId":304897,"journal":{"name":"2017 3th International Conference on Web Research (ICWR)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121168555","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

How questions are posed to a search engine? An empiricial analysis of question queries in a large scale Persian search engine log 如何向搜索引擎提出问题?对大规模波斯语搜索引擎日志中问题查询的实证分析

2017 3th International Conference on Web Research (ICWR) Pub Date : 2017-04-01 DOI: 10.1109/ICWR.2017.7959310

M. Zahedi, Behrooz Mansouri, Shiva Moradkhani, M. Farhoodi, F. Oroumchian

引用次数: 12

Limitations of quality metrics for community detection and evaluation 社区检测和评估质量指标的局限性

2017 3th International Conference on Web Research (ICWR) Pub Date : 2017-04-01 DOI: 10.1109/ICWR.2017.7959298

Mohsen Arab, M. Hasheminezhad

引用次数: 0

Measuring service quality in service-oriented architectures using a hybrid particle swarm optimization algorithm and artificial neural network (PSO-ANN) 基于混合粒子群优化算法和人工神经网络(PSO-ANN)的面向服务体系结构服务质量度量

2017 3th International Conference on Web Research (ICWR) Pub Date : 2017-04-01 DOI: 10.1109/ICWR.2017.7959309

M. Zavvar, Shole Garavand, Esmaeel Sabbagh, Meysam Rezaei, H. Khalili, M. Zavvar, H. Motameni

引用次数: 2