The wide location based service in the application of mobile commerce has brought great convenience to people's work and lives, while the risk of privacy disclosure has been receiving more and more attention from the academia and industry. After analyzing the privacy issues in mobile commerce, a privacy preserving recommendation service framework based on cloud is established. According to the defined personalized privacy requirements of mobile users, the (K, L, P)-anonymity model is formally described. Based on the anonymity model, a dynamically structure minimum anonymous sets algorithm DSMAS is proposed, which can be used to protect the location, identifier and other sensitive information of the mobile user on the road network. Finally, based on a real road network and generated privacy profiles of the mobile users, the feasibility of algorithm are validated by experimentally analyzing using the metrics including information entropy, query cost, anonymization time and dummy ratio.
{"title":"Privacy Preserving-Based Recommendation Service Model of Mobile Commerce and Anonimity Algorithm","authors":"Chunhui Piao, Xiaoyan Li","doi":"10.1109/ICEBE.2015.77","DOIUrl":"https://doi.org/10.1109/ICEBE.2015.77","url":null,"abstract":"The wide location based service in the application of mobile commerce has brought great convenience to people's work and lives, while the risk of privacy disclosure has been receiving more and more attention from the academia and industry. After analyzing the privacy issues in mobile commerce, a privacy preserving recommendation service framework based on cloud is established. According to the defined personalized privacy requirements of mobile users, the (K, L, P)-anonymity model is formally described. Based on the anonymity model, a dynamically structure minimum anonymous sets algorithm DSMAS is proposed, which can be used to protect the location, identifier and other sensitive information of the mobile user on the road network. Finally, based on a real road network and generated privacy profiles of the mobile users, the feasibility of algorithm are validated by experimentally analyzing using the metrics including information entropy, query cost, anonymization time and dummy ratio.","PeriodicalId":153535,"journal":{"name":"2015 IEEE 12th International Conference on e-Business Engineering","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125489246","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}
D. A. Qudah, A. Cristea, Suncica Hadzidedic, Samar Al-Saqqa, Ali Rodan, Wei Yang
Personalized e-advertising is the art of attracting users' attention by correlating to their tastes and interests. The evolving research of adaptive hypermedia with its techniques and theories contributed to the personalization field. This paper reports the case study of "My Ads", an adaptive e-advertisement delivery system that is based on a new theoretical framework, to evaluate users' acceptance of personalized ads. The results indicated that the implemented features within the system contributed to an enhanced experience through the exposure to different personalization methods and the appealing ideas of the system.
{"title":"Personalized E-Advertisement and Experience: Recommending User Targeted Ads","authors":"D. A. Qudah, A. Cristea, Suncica Hadzidedic, Samar Al-Saqqa, Ali Rodan, Wei Yang","doi":"10.1109/ICEBE.2015.19","DOIUrl":"https://doi.org/10.1109/ICEBE.2015.19","url":null,"abstract":"Personalized e-advertising is the art of attracting users' attention by correlating to their tastes and interests. The evolving research of adaptive hypermedia with its techniques and theories contributed to the personalization field. This paper reports the case study of \"My Ads\", an adaptive e-advertisement delivery system that is based on a new theoretical framework, to evaluate users' acceptance of personalized ads. The results indicated that the implemented features within the system contributed to an enhanced experience through the exposure to different personalization methods and the appealing ideas of the system.","PeriodicalId":153535,"journal":{"name":"2015 IEEE 12th International Conference on e-Business Engineering","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124660578","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}
One of the key properties driving the popularity of cloud computing is the elasticity of multi-tenant business process. However, performing elasticity at the business process and the SaaS (Software as a Service) levels independently may only result in significant resources waste relating to the scalability, complex logic and long-running of the cloud applications. In this paper, we propose a holistic approach to dynamically manage elasticity mechanisms based on functional dependencies between the multi-tenant process and its involved services. This research is based on a service pattern for enabling multi-level elasticity control and analyzing the elasticity impact of invoked services on quality of the affected processes. Furthermore, we define an auto-scaling algorithm for enforcing multi-criteria dependencies for the elasticity control. Evaluation of our approach on a realistic situation shows its efficiency.
{"title":"Controlling Elasticity Dependencies for Multi-tenant Business Process","authors":"Wael Sellami, Hatem Hadj Kacem, A. Kacem","doi":"10.1109/ICEBE.2015.50","DOIUrl":"https://doi.org/10.1109/ICEBE.2015.50","url":null,"abstract":"One of the key properties driving the popularity of cloud computing is the elasticity of multi-tenant business process. However, performing elasticity at the business process and the SaaS (Software as a Service) levels independently may only result in significant resources waste relating to the scalability, complex logic and long-running of the cloud applications. In this paper, we propose a holistic approach to dynamically manage elasticity mechanisms based on functional dependencies between the multi-tenant process and its involved services. This research is based on a service pattern for enabling multi-level elasticity control and analyzing the elasticity impact of invoked services on quality of the affected processes. Furthermore, we define an auto-scaling algorithm for enforcing multi-criteria dependencies for the elasticity control. Evaluation of our approach on a realistic situation shows its efficiency.","PeriodicalId":153535,"journal":{"name":"2015 IEEE 12th International Conference on e-Business Engineering","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126000957","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}
With the rapid development of E-commerce, the demand for forward and reverse logistics for E-commerce enterprises is becoming increasingly urgent. This paper proposes a joint design model of multi-period reverse logistics network with the consideration of carbon emissions for E-commerce enterprises. And a case study of E-commerce enterprises is used to verify the feasibility of the model. The result indicates that, this joint design model of multi-period reverse logistics network is more accordant with reality, the total operation cost of multi-period model reduces a lot and the carbon emission reduces greatly. Furthermore, this research provides additionally reference for reducing carbon missions as well as the designing of regional reverse logistics network for E-business enterprises, and even for other kinds of enterprises.
{"title":"Joint Design Model of Multi-period Reverse Logistics Network with the Consideration of Carbon Emissions for E-Commerce Enterprises","authors":"Xinxin Liu, Jianquan Guo, Chengji Liang","doi":"10.1109/ICEBE.2015.78","DOIUrl":"https://doi.org/10.1109/ICEBE.2015.78","url":null,"abstract":"With the rapid development of E-commerce, the demand for forward and reverse logistics for E-commerce enterprises is becoming increasingly urgent. This paper proposes a joint design model of multi-period reverse logistics network with the consideration of carbon emissions for E-commerce enterprises. And a case study of E-commerce enterprises is used to verify the feasibility of the model. The result indicates that, this joint design model of multi-period reverse logistics network is more accordant with reality, the total operation cost of multi-period model reduces a lot and the carbon emission reduces greatly. Furthermore, this research provides additionally reference for reducing carbon missions as well as the designing of regional reverse logistics network for E-business enterprises, and even for other kinds of enterprises.","PeriodicalId":153535,"journal":{"name":"2015 IEEE 12th International Conference on e-Business Engineering","volume":" 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114051078","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}
Information diffusion model plays an important role in many real-world applications such as online marketing and e-government campaigns. Existing approaches often predict information diffusion by examining whether events are triggered by external trends or the social network itself. However, existing methods cannot take into account the semantically rich "topics" to estimate the correlations between users and messages describing some events. The main contribution of our work is the development of the Topic based Information Diffusion (TBID) model which can incorporate external trends model and topic based social descriptions to enhance the effectiveness of predicting information diffusion in online social networks. Experiments conducted based on real-world data sets confirm the distinct advantage of the proposed computational method. Our research opens the door to the development of a more effective personalized information recommendation model in online social media.
{"title":"Topic Based Information Diffusion Prediction Model with External Trends","authors":"Di Wu, Chunping Li, Raymond Y. K. Lau","doi":"10.1109/ICEBE.2015.15","DOIUrl":"https://doi.org/10.1109/ICEBE.2015.15","url":null,"abstract":"Information diffusion model plays an important role in many real-world applications such as online marketing and e-government campaigns. Existing approaches often predict information diffusion by examining whether events are triggered by external trends or the social network itself. However, existing methods cannot take into account the semantically rich \"topics\" to estimate the correlations between users and messages describing some events. The main contribution of our work is the development of the Topic based Information Diffusion (TBID) model which can incorporate external trends model and topic based social descriptions to enhance the effectiveness of predicting information diffusion in online social networks. Experiments conducted based on real-world data sets confirm the distinct advantage of the proposed computational method. Our research opens the door to the development of a more effective personalized information recommendation model in online social media.","PeriodicalId":153535,"journal":{"name":"2015 IEEE 12th International Conference on e-Business Engineering","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131684720","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：