International Conference on Crowd Science and Engineering最新文献_第3页

Crowd Science in the Perspective of Economics 经济学视角下的群体科学

International Conference on Crowd Science and Engineering Pub Date : 2018-07-28 DOI: 10.1145/3265689.3265700

Hang Liu, Yong Wang, Shiliang Feng

引用次数: 1

Modeling and Analysis of Demand for Personalized Portal 个性化门户的需求建模与分析

International Conference on Crowd Science and Engineering Pub Date : 2018-07-28 DOI: 10.1145/3265689.3265708

Yadong Huang, Y. Chai, Yi Liu, Anting Zhang, Hao Wu

{"title":"Modeling and Analysis of Demand for Personalized Portal","authors":"Yadong Huang, Y. Chai, Yi Liu, Anting Zhang, Hao Wu","doi":"10.1145/3265689.3265708","DOIUrl":"https://doi.org/10.1145/3265689.3265708","url":null,"abstract":"E-commerce1 has experienced great growth during the past two decades, which changes the consumption mode of consumers significantly. All researchers from institutions and enterprises want to identify and satisfy the personalized demand intelligently and conveniently by every possible means. In this paper, we proposed smart demand strategy based on holographic demand and model of transaction subject, which is applicable for the decentralized, disintermediated, intelligent e-commerce platform. User demands are classified from two aspects, which will improve the accuracy of demand obtaining. In addition, from standardized description of demand and full life cycle tracking of demand, the user demand will be identified comprehensively. Meanwhile, models of the user, including physical, preference, knowledge, digital label, and social attributes, are built based on his standard description and fragmented description from his interactive objects, which results in a holographic demander. Then, smart demand strategy, i.e. demand forecast and recommendation are proposed. Based on trigger point and demand attributes, the user demand will be updated in real time, which ensures the accuracy of demand accusation and recommendation. The relationship and help degree, based on the interactions within the cyberspace, are important references in filtering the recommendation.","PeriodicalId":370356,"journal":{"name":"International Conference on Crowd Science and Engineering","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132040748","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

Spatial Crowdsourcing Task Assignment Based on the Quality of Workers 基于工人素质的空间众包任务分配

International Conference on Crowd Science and Engineering Pub Date : 2018-07-28 DOI: 10.1145/3265689.3265717

Y. Jiang, Li-zhen Cui, Yiming Cao, Lei Liu, W. He, Li Pan, Yongqing Zheng, Qingzhong Li

引用次数: 4

Analysis of Public Transportation Patterns in a Densely Populated City with Station-based Shared Bikes 基于站式共享单车的人口密集城市公共交通模式分析

International Conference on Crowd Science and Engineering Pub Date : 2018-07-28 DOI: 10.1145/3265689.3265697

Di Wang, Evan Wu, A. Tan

{"title":"Analysis of Public Transportation Patterns in a Densely Populated City with Station-based Shared Bikes","authors":"Di Wang, Evan Wu, A. Tan","doi":"10.1145/3265689.3265697","DOIUrl":"https://doi.org/10.1145/3265689.3265697","url":null,"abstract":"Densely populated cities face great challenges of high transportation demand and limited physical space. Thus, in these cities, the public transportation system is heavily relied on. Conventional public transportation modes such as bus, taxi and subway have been globally deployed over the past century. In the last decade, a new type of public transportation mode, shared bike, emerged in many cities. These shared bikes are deployed by either government-regulated or profit-driven companies and are either station-based or station-less. Nonetheless, all of them are designed to better solve the last-mile problem in densely populated cities as complements to the conventional public transportation system. In this paper, we analyse the public transportation patterns in a densely populated city, Chicago, USA, using comprehensive datasets covering the transportation records on shared bikes, buses, taxis and subways collected over one year's time. Specifically, we apply self-regulated clustering methods to reveal both the majority transportation patterns and the irregular ones. Other than reporting the autonomously discovered transportation patterns, we also show that our method achieves better clustering performance than the benchmarking methods.","PeriodicalId":370356,"journal":{"name":"International Conference on Crowd Science and Engineering","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123678365","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

Quality-Complexity-Task Universal Intelligence Measurement 质量-复杂性-任务通用智力测量

International Conference on Crowd Science and Engineering Pub Date : 2018-07-28 DOI: 10.1145/3265689.3265709

Bing Liang, Zhiwen Pan, Jingce Xu, Wen Ji, Yiqiang Chen

{"title":"Quality-Complexity-Task Universal Intelligence Measurement","authors":"Bing Liang, Zhiwen Pan, Jingce Xu, Wen Ji, Yiqiang Chen","doi":"10.1145/3265689.3265709","DOIUrl":"https://doi.org/10.1145/3265689.3265709","url":null,"abstract":"The phenomenon of crowd intelligence widely exists in human society.As human beings enter the network age, the phenomenon of crowd intelligence is becoming more extensive and complex. These intelligent agents (i.e., people, enterprises, government, intelligent equipment and goods)connect each other and form a large number of crowd network system.With the development of machine learning techniques, the crowd network is becoming more and more intelligent and autonomous in the physical space. Due to complexity and heterogeneity of the agent in the crowd network, how to reasonable optimize and evaluate the intelligence of crowd network is becoming a very important problem. In order to solve this problem,we propose a formalized and accurate intelligence measurement method named Quality-Complexity-Task(QCT) universal intelligence measurement. Like the human IQ test,we use a kind of intelligence test method to measure agent intelligence. To model this process of test, we design QCT agent-enviroment framework in which the agent and enviroment could interact with each other. We measure the intelligence of agent by evaluating the agents accumulated performance during the intelligence test. Our experiment demonstrate that the method of QCT can achieve the measurement of agent in the crowd network.","PeriodicalId":370356,"journal":{"name":"International Conference on Crowd Science and Engineering","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123995039","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: 2

Crowd Intelligence Improvement: The Case of New Experts Employment and Research Team Performance 群体智能提升:以新专家就业与研究团队绩效为例

International Conference on Crowd Science and Engineering Pub Date : 2018-07-28 DOI: 10.1145/3265689.3265715

Yi He, Li-Yu Daisy Liu, Linlin Ma

引用次数: 0

Distributed ledger technology and economic contract innovation 分布式账本技术与经济契约创新

International Conference on Crowd Science and Engineering Pub Date : 2018-07-28 DOI: 10.1145/3265689.3267929

Hao Sun, Yadong Huang

引用次数: 1

CrowdMerge: Achieving Optimal Crowdsourcing Quality Management by Sequent Merger 众包合并:通过后续合并实现最优众包质量管理

International Conference on Crowd Science and Engineering Pub Date : 2018-07-28 DOI: 10.1145/3265689.3265714

Yinan Zhang, Li-zhen Cui, Jiwei Huang, C. Miao

{"title":"CrowdMerge: Achieving Optimal Crowdsourcing Quality Management by Sequent Merger","authors":"Yinan Zhang, Li-zhen Cui, Jiwei Huang, C. Miao","doi":"10.1145/3265689.3265714","DOIUrl":"https://doi.org/10.1145/3265689.3265714","url":null,"abstract":"Quality management of worker responses is an increasingly important issue in crowdsourcing, which can be a fundamental reference for workload allocation. However, most of the existing solutions to worker response evaluation meet with significant challenges. Part of them are only able to obtain locally optimal results with low accuracy, while the others have to pay a high price to achieve global optimality. In order to tackle these challenges, this paper proposes a solution to worker quality management which is able to obtain optimal evaluation results close to the globally one with acceptable computational overhead. It is proved to be globally optimal results under certain conditions. The basic idea of the approach is to calculate the similarities among the workers according to which the workers can be clustered gradually. The unknown answers (or outputs) of the tasks are predicted from the results obtained by the clustered workers which will further help with the similarity calculation and the clustering among the remaining workers. A framework and detailed schemes are presented, and simulation experiments are conducted to validate the efficacy of the approach.","PeriodicalId":370356,"journal":{"name":"International Conference on Crowd Science and Engineering","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133988283","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: 2

Hybrid Crowd-powered Approach for Compatibility Testing of Mobile Devices and Applications 移动设备和应用程序兼容性测试的混合众动力方法

International Conference on Crowd Science and Engineering Pub Date : 2018-07-28 DOI: 10.1145/3265689.3265690

Qamar Naith, F. Ciravegna

{"title":"Hybrid Crowd-powered Approach for Compatibility Testing of Mobile Devices and Applications","authors":"Qamar Naith, F. Ciravegna","doi":"10.1145/3265689.3265690","DOIUrl":"https://doi.org/10.1145/3265689.3265690","url":null,"abstract":"Testing mobile applications (apps) to ensure they work seamlessly on all devices can be difficult and expensive, especially for small development teams or companies due to limited available resources. There is a need for methods to outsource testing on all these models and OS versions. In this paper, we propose a crowdsourced testing approach that leverages the power of the crowd to perform mobile device compatibility testing in a novel way. This approach aims to provide support for testing code, features, or hardware characteristics of mobile devices which is hardly investigated. This testing will enable developers to ensure that features and hardware characteristics of any device model or features of a specific OS version will work correctly and will not cause any problems with their apps. It empowers developers to find a solution for issues they may face during the development of an app by asking testers to perform a test or searching a knowledge base provided with the platform. It will offer the ability to add a new issue or add a solution to existing issues. We expect that these capabilities will improve the testing and development of mobile apps by considering variant mobile devices and OS versions on the crowd.","PeriodicalId":370356,"journal":{"name":"International Conference on Crowd Science and Engineering","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134057746","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

Research on Safe Driving Scoring System and Personalized Ratemaking of Vehicle Insurance based on OBD Data 基于OBD数据的安全驾驶评分系统及车险个性化费率制定研究

International Conference on Crowd Science and Engineering Pub Date : 2018-07-28 DOI: 10.1145/3265689.3265696

Runtong Cheng, Chaofan Wang, Guwen Lv, Zhijie Liu, Tianmei Wang

引用次数: 4