{"title":"一种面向移动互联网环境的基于位置的服务协同评价算法","authors":"M. Lu, Mingjun Xin, Weimin Li","doi":"10.1109/APSCC.2014.24","DOIUrl":null,"url":null,"abstract":"With the rapid development of communication technology and mobile Internet, masses of location-based services which can meet users' requirements are appearing explosively. So how to select the personalized service with the higher quality is becoming the research hot spot under mobile Internet environment. In this paper, first of all, it organizes services which meet the requirement of users based on their location information and preference information. Secondly, the LBS composition optimization process is presented, which is mainly to find and acquire the appropriate LBS sequences based on user's QoS constraints. Finally, it adopts the collaboration evaluation method to measure the LBS sequences based on QoS indexes, which can get the optimal service for different users. The above procedures accomplish the evaluation for location-based services, which can satisfy user preferences efficiently.","PeriodicalId":393593,"journal":{"name":"2014 Asia-Pacific Services Computing Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Approach to the Location-Based Services Collaboration Evaluation Algorithm Oriented to Mobile Internet Environment\",\"authors\":\"M. Lu, Mingjun Xin, Weimin Li\",\"doi\":\"10.1109/APSCC.2014.24\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the rapid development of communication technology and mobile Internet, masses of location-based services which can meet users' requirements are appearing explosively. So how to select the personalized service with the higher quality is becoming the research hot spot under mobile Internet environment. In this paper, first of all, it organizes services which meet the requirement of users based on their location information and preference information. Secondly, the LBS composition optimization process is presented, which is mainly to find and acquire the appropriate LBS sequences based on user's QoS constraints. Finally, it adopts the collaboration evaluation method to measure the LBS sequences based on QoS indexes, which can get the optimal service for different users. The above procedures accomplish the evaluation for location-based services, which can satisfy user preferences efficiently.\",\"PeriodicalId\":393593,\"journal\":{\"name\":\"2014 Asia-Pacific Services Computing Conference\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 Asia-Pacific Services Computing Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APSCC.2014.24\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Asia-Pacific Services Computing Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APSCC.2014.24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Approach to the Location-Based Services Collaboration Evaluation Algorithm Oriented to Mobile Internet Environment
With the rapid development of communication technology and mobile Internet, masses of location-based services which can meet users' requirements are appearing explosively. So how to select the personalized service with the higher quality is becoming the research hot spot under mobile Internet environment. In this paper, first of all, it organizes services which meet the requirement of users based on their location information and preference information. Secondly, the LBS composition optimization process is presented, which is mainly to find and acquire the appropriate LBS sequences based on user's QoS constraints. Finally, it adopts the collaboration evaluation method to measure the LBS sequences based on QoS indexes, which can get the optimal service for different users. The above procedures accomplish the evaluation for location-based services, which can satisfy user preferences efficiently.