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

M. Lu, Mingjun Xin, Weimin Li
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引用次数: 0

摘要

随着通信技术和移动互联网的快速发展,大量满足用户需求的基于位置的服务如爆炸式的出现。因此,如何选择高质量的个性化服务成为移动互联网环境下的研究热点。本文首先根据用户的位置信息和偏好信息组织满足用户需求的服务。其次,提出了基于用户QoS约束的LBS组合优化过程,主要是寻找和获取合适的LBS序列。最后,采用基于QoS指标的协同评价方法对LBS序列进行度量,为不同用户提供最优服务。以上步骤完成了对基于位置的服务的评价,能够有效地满足用户的偏好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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