J. PaulRajasingh, Sharmishtha Sen Ms., Shreyes Prasad
{"title":"面向服务环境下的用户信誉计算","authors":"J. PaulRajasingh, Sharmishtha Sen Ms., Shreyes Prasad","doi":"10.35940/IJITEE.G8953.0510721","DOIUrl":null,"url":null,"abstract":"All the cloud based applications work on serviceoriented architectures and collaborate with multiple components\nfrom other services to execute discreet application logic. In this\nenvironment there are a lot of Web services facilitated to the\ncustomer to make the systems. As the potential of the same Web\nservice will change with respect to users' needs. On an average a\nuser will be heavily relied on tools to aid their activities on the\ninternet vice versa the Service provider are also dependent on the\nusers profile and what services are being used in the system. A\nUser Reputation model offers a solution to the Service providers\nin supporting their service decision based on the User Profile.\nThis model takes usage ratings as data and produces a\npersonalised score. We suggest a new Cumulative separation on\nthe basis of Tags and popularity estimation method and showcase\nits enhanced filtration ability.","PeriodicalId":23601,"journal":{"name":"VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE","volume":"14 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"User Reputation Calculation for Service-Oriented Environments\",\"authors\":\"J. PaulRajasingh, Sharmishtha Sen Ms., Shreyes Prasad\",\"doi\":\"10.35940/IJITEE.G8953.0510721\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"All the cloud based applications work on serviceoriented architectures and collaborate with multiple components\\nfrom other services to execute discreet application logic. In this\\nenvironment there are a lot of Web services facilitated to the\\ncustomer to make the systems. As the potential of the same Web\\nservice will change with respect to users' needs. On an average a\\nuser will be heavily relied on tools to aid their activities on the\\ninternet vice versa the Service provider are also dependent on the\\nusers profile and what services are being used in the system. A\\nUser Reputation model offers a solution to the Service providers\\nin supporting their service decision based on the User Profile.\\nThis model takes usage ratings as data and produces a\\npersonalised score. We suggest a new Cumulative separation on\\nthe basis of Tags and popularity estimation method and showcase\\nits enhanced filtration ability.\",\"PeriodicalId\":23601,\"journal\":{\"name\":\"VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE\",\"volume\":\"14 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-05-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.35940/IJITEE.G8953.0510721\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35940/IJITEE.G8953.0510721","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
User Reputation Calculation for Service-Oriented Environments
All the cloud based applications work on serviceoriented architectures and collaborate with multiple components
from other services to execute discreet application logic. In this
environment there are a lot of Web services facilitated to the
customer to make the systems. As the potential of the same Web
service will change with respect to users' needs. On an average a
user will be heavily relied on tools to aid their activities on the
internet vice versa the Service provider are also dependent on the
users profile and what services are being used in the system. A
User Reputation model offers a solution to the Service providers
in supporting their service decision based on the User Profile.
This model takes usage ratings as data and produces a
personalised score. We suggest a new Cumulative separation on
the basis of Tags and popularity estimation method and showcase
its enhanced filtration ability.