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2014 International Conference on Service Sciences最新文献

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Collaborative Filtering of Web Service Based on MapReduce 基于MapReduce的Web服务协同过滤
2014 International Conference on Service Sciences Pub Date : 2014-05-22 DOI: 10.1109/ICSS.2014.15
Shihang Huang, Xue Jiang, N. Zhang, Cheng Zhang, Depeng Dang
{"title":"Collaborative Filtering of Web Service Based on MapReduce","authors":"Shihang Huang, Xue Jiang, N. Zhang, Cheng Zhang, Depeng Dang","doi":"10.1109/ICSS.2014.15","DOIUrl":"https://doi.org/10.1109/ICSS.2014.15","url":null,"abstract":"As more and more web services appear on the internet, it becomes more difficult for us to pick out a suitable service among a large number of alternative services. The services recommended by user-based collaborative filtering lack relevance, and it is insufficient to recommend the new services. In this paper, we proposed a collaborative filtering method mixed user-based and item-based collaborative filtering. In order to adapt to the era of big data, it was implemented making use of MapReduce framework. We avoid overestimated similarity and the sparseness to improve the algorithm. Experiment results show that the hybrid collaborative filtering method can not only ensure accuracy, but also provide chance to recommend the new services.","PeriodicalId":206490,"journal":{"name":"2014 International Conference on Service Sciences","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130709567","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: 3
Enhancing Book Recommendation with Side Information 增强图书推荐与侧信息
2014 International Conference on Service Sciences Pub Date : 2014-05-22 DOI: 10.1109/ICSS.2014.25
Liu Xin, E. Haihong, Tong Junjie, Song Meina, Liu Yi
{"title":"Enhancing Book Recommendation with Side Information","authors":"Liu Xin, E. Haihong, Tong Junjie, Song Meina, Liu Yi","doi":"10.1109/ICSS.2014.25","DOIUrl":"https://doi.org/10.1109/ICSS.2014.25","url":null,"abstract":"Recommendation systems are being broadly adopted in various applications to suggest items of interest to users amidst the enormous volume of available information. And many academic libraries have implemented various recommendation technologies to attract more readers and evaluate the resource utilization. And collaborative filtering (CF) technologies are widely used. However, one key issue limiting the success of collaborative filtering in certain application domains is the cold-start problem. In this paper, we aim to solve this problem with side information including the profile of the readers and the information of the books. We propose three approaches: the first is a recommendation method based on readers' side information, the second one is based on the books' side information, the third one contains two methods to combine the side information and the rating information. And the experiments evaluated on the real dataset which is very sparse validate the efficiency of the methods.","PeriodicalId":206490,"journal":{"name":"2014 International Conference on Service Sciences","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128787530","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: 3
Petri Net-Based Context-Aware Service System Modelling: An Overview 基于Petri网的上下文感知服务系统建模:综述
2014 International Conference on Service Sciences Pub Date : 2014-05-22 DOI: 10.1109/ICSS.2014.14
Wang Wusheng, Liao Weiping, Wu Zhonghai, Zhang Zhichao
{"title":"Petri Net-Based Context-Aware Service System Modelling: An Overview","authors":"Wang Wusheng, Liao Weiping, Wu Zhonghai, Zhang Zhichao","doi":"10.1109/ICSS.2014.14","DOIUrl":"https://doi.org/10.1109/ICSS.2014.14","url":null,"abstract":"Context-aware service system provides personalized context-aware services to a user actively, according to the specific context information of the user, such as the position, the personal profile and the historical records. To build a formal model to simulate and verify the system is a crucial and key issue in context-aware service systems. Several approaches were proposed to build context-aware service system model with petri net. However, besides the basic petri net model, there are several extended petri net models that enhance the expressive power of the basic petri net in different aspects. In this paper, we summarize how different petri net models are used in modelling context-aware service systems, and try to figure out the advantages of some of the petri net models, so as to make it easier in choosing a suitable petri net model when building context-aware service systems.","PeriodicalId":206490,"journal":{"name":"2014 International Conference on Service Sciences","volume":"165 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122558501","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: 3
High Availability Benchmarking for Cloud Management Infrastructure 云管理基础设施的高可用性基准测试
2014 International Conference on Service Sciences Pub Date : 2014-05-22 DOI: 10.1109/ICSS.2014.28
X. Liu, J. Qiu, Jian Ming Zhang
{"title":"High Availability Benchmarking for Cloud Management Infrastructure","authors":"X. Liu, J. Qiu, Jian Ming Zhang","doi":"10.1109/ICSS.2014.28","DOIUrl":"https://doi.org/10.1109/ICSS.2014.28","url":null,"abstract":"Cloud-management infrastructure plays an important role as a part of cloud computing stacks, serving as the resource manager of cloud platforms. The complexity of cloud-management infrastructure makes its high availability (HA) one of the most critical requirements. Various technologies have been developed to increase the reliability and availability of cloud management infrastructure, however, little work focused on quantitative analysis of its availability. In this paper, we designed a new availability benchmarking method for cloud management infrastructure. By using our measurement method, a private cloud customer or public cloud provider can estimate the availability of deployment of its cloud management stack. We have evaluated our method on Open Stack cloud infrastructure. We show that with various HA technologies and configurations, the availability of the cloud management infrastructure can be greatly different.","PeriodicalId":206490,"journal":{"name":"2014 International Conference on Service Sciences","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126569879","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: 7
Fast Modeling of Analytics Workloads for Big Data Services 大数据服务分析工作负载的快速建模
2014 International Conference on Service Sciences Pub Date : 2014-05-22 DOI: 10.1109/ICSS.2014.37
Lin Yang, Changsheng Li, Liya Fan, Jingmin Xu
{"title":"Fast Modeling of Analytics Workloads for Big Data Services","authors":"Lin Yang, Changsheng Li, Liya Fan, Jingmin Xu","doi":"10.1109/ICSS.2014.37","DOIUrl":"https://doi.org/10.1109/ICSS.2014.37","url":null,"abstract":"Building models to predict analytics workloads' execution is a foundational capability that enables key scenarios for big data services, like SLA-driven service provisioning and elastic auto scaling. Given the various infrastructure and workload characteristics, it's more preferable to build the models in a \"black-box\" fashion, for example, by leveraging machine learning techniques. However, this approach has assumptions on the volume and quality of workloads' existing records to learn from, which require sophisticate benchmark or long time monitoring. In this paper, we present a method to accelerate the modeling process of an analytics workload for its quick time-to-value in the context of big data services. Specifically, clustering and transfer learning techniques are leveraged for this acceleration by shifting the data collection from the online service phase to the offline preparation phase. This paper focuses on the conceived service model and fast modeling techniques. Their feasibility is demonstrated by experiments.","PeriodicalId":206490,"journal":{"name":"2014 International Conference on Service Sciences","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129838760","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
Service Selection Based on Dynamic Group Trust in Social Network 基于动态群体信任的社会网络服务选择
2014 International Conference on Service Sciences Pub Date : 2014-05-22 DOI: 10.1109/ICSS.2014.38
Shouxian Wei, Xiaolin Zheng, Deren Chen
{"title":"Service Selection Based on Dynamic Group Trust in Social Network","authors":"Shouxian Wei, Xiaolin Zheng, Deren Chen","doi":"10.1109/ICSS.2014.38","DOIUrl":"https://doi.org/10.1109/ICSS.2014.38","url":null,"abstract":"People are more likely to have a common topic together, whereas gathering the people to form into the group also can create more value. Service network is the society that has different layers, where people are belongs to different kinds of interests and hobbies, therefore, group mode is very suitable for services network conditions. It is easy to form variant crowds of people and motivate common topics according to characteristics of population. Aiming the shortcoming at the aspects of social network of the existing service selection, this paper proposed a service selection algorithm and related group trust model in social network. Through calculation of group trust and its propagation between groups, it got the comprehensive trust evaluation. Through the correction of trust evaluation, it succeeded to resist some malicious behaviors. Finally, we verified its effectiveness, resist aggression through the simulated experiment.","PeriodicalId":206490,"journal":{"name":"2014 International Conference on Service Sciences","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132037555","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: 1
Incorporating Context into Web Services Discovery and Composition Process 将上下文合并到Web服务发现和组合过程中
2014 International Conference on Service Sciences Pub Date : 2014-05-22 DOI: 10.1109/ICSS.2014.41
Zhichao Zhang, Weiping Li, Wusheng Wang, Zhonghai Wu
{"title":"Incorporating Context into Web Services Discovery and Composition Process","authors":"Zhichao Zhang, Weiping Li, Wusheng Wang, Zhonghai Wu","doi":"10.1109/ICSS.2014.41","DOIUrl":"https://doi.org/10.1109/ICSS.2014.41","url":null,"abstract":"Nowadays, with the development of Internet of Things and cloud computing technologies, people's daily life becomes more intelligent than ever before. As one of the most important constitute part, context aware computing technology has attracted more attentions and play an important role in providing intelligent and suitable services for users. In this paper, we will introduce a context aware service provision method for the smart campus (iCampus) environment. First, we will present a conceptual space based context modeling method. Then we will analyze a smart campus scenario and show how to use this formal model to represent a smart campus scenario. Third, we will show how to discover and compose services from three different levels, i.e. Contextual level, functional level and non-functional level. Finally, we will use an example to verify our method and give solutions.","PeriodicalId":206490,"journal":{"name":"2014 International Conference on Service Sciences","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133750244","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
Artificial Bee Colony Optimized Scheduling Framework Based on Resource Service Availability in Cloud Manufacturing 云制造中基于资源服务可用性的人工蜂群优化调度框架
2014 International Conference on Service Sciences Pub Date : 2014-05-22 DOI: 10.1109/ICSS.2014.16
Jorick Lartigau, Xiaofei Xu, D. Zhan
{"title":"Artificial Bee Colony Optimized Scheduling Framework Based on Resource Service Availability in Cloud Manufacturing","authors":"Jorick Lartigau, Xiaofei Xu, D. Zhan","doi":"10.1109/ICSS.2014.16","DOIUrl":"https://doi.org/10.1109/ICSS.2014.16","url":null,"abstract":"The research on Cloud manufacturing (CMfg) is mainly articulated around the promotion of collaboration among service providers to increase the global manufacturing capabilities and create virtual enterprises that satisfy complex service requirements and designs. For manufacturers, here denoted as service providers, CMfg also presents a valuable enhancement of their resources' occupancy and a way to rapidly expend their business. However, the interplay among service providers is an important parameter to issue when it comes to cloud service scheduling. The collaboration orientation and the resource occupancy must be addressed as the main driver for the scheduling framework establishment. Therefore, this paper proposes a strategy concerning the scheduling approach in CMfg based on resource service availability and globally optimized through Artificial Bee Colony (ABC) algorithm. The precision and efficiency of the present method are discussed in the experiments section.","PeriodicalId":206490,"journal":{"name":"2014 International Conference on Service Sciences","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116480669","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: 8
Fast Human Detection Using LDA via L1-Norm 基于l1 -范数的LDA快速人体检测
2014 International Conference on Service Sciences Pub Date : 2014-05-22 DOI: 10.1109/ICSS.2014.31
Xiao Pu, Xiaoshuang Shi, Zhenhua Guo, Jie Zhou
{"title":"Fast Human Detection Using LDA via L1-Norm","authors":"Xiao Pu, Xiaoshuang Shi, Zhenhua Guo, Jie Zhou","doi":"10.1109/ICSS.2014.31","DOIUrl":"https://doi.org/10.1109/ICSS.2014.31","url":null,"abstract":"Fast detection is of vital importance in human detection sometimes. Considering the high dimensions of the features widely used in human detection, it will severely slow the detection speed. Therefore, in this paper, we try to find a way by using Linear Discriminant Analysis(LDA) via L1-norm regularization to solve this problem. It reduces the dimension of feature from 3780 to 150 before classification, and gets a more fast speed then SVM and LDA, while keeps a competitive accuracy.","PeriodicalId":206490,"journal":{"name":"2014 International Conference on Service Sciences","volume":"46 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121188528","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: 1
The Analysis and Expansion of User Requirements Based on a Novel Information Service Platform 基于新型信息服务平台的用户需求分析与扩展
2014 International Conference on Service Sciences Pub Date : 2014-05-22 DOI: 10.1109/ICSS.2014.48
Yu Guo
{"title":"The Analysis and Expansion of User Requirements Based on a Novel Information Service Platform","authors":"Yu Guo","doi":"10.1109/ICSS.2014.48","DOIUrl":"https://doi.org/10.1109/ICSS.2014.48","url":null,"abstract":"With the rapid development of the Internet, as well as the user needs are more diversified and personalized. The existing technologies to provide information for users through simply matching keywords and the results presentation of current information search service systems are increasingly unable to meet the rising user needs. The problems mainly manifest the inaccuracy of information and the complexity of selecting information. Focusing on the above problems, in this paper, we propose a novel algorithm to expand the user query based on an information service platform, which is achieved with an innovative indexing network model. On this basis, we put forward an algorithm which can extract a sub indexing network according to the located category on the basis of user's requirements to provide service for users through this semantic graph model. The proposed method carries out an interactive mechanism between users and information search platform, meanwhile, perfectly describes the potential requirements and the most adequate information from user, thereby returning much more accurate information to the user. The experiments reflect the advantage of our method and the differences with the current information search service systems.","PeriodicalId":206490,"journal":{"name":"2014 International Conference on Service Sciences","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122837211","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
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