基于数据关联的兴趣点定位研究
首发时间:2017-06-07
摘要:当用户处于某一兴趣点时,我们需要将用户通过定位技术得到用户处于的准确兴趣点信息,从而提供更有针对性的服务。针对现有技术定位准确度不高的问题。本文提出了一种基于用户历史数据分析的定位修正算法。依据用户不同时间段在出现的兴趣点是具有一定规律的的特点,建立用户历史定位规律模型。在用户进行定位服务时,结合用户历史定位规律、当前时间和当前定位误差范围,利用隶属函数隶属度进行评价用户和地图上各个兴趣点的关联程度。得出用户最有可能处于的兴趣点。最后,本文设计对比实验进行验证。结果表明,结合用户历史数据进行定位修正,其兴趣点定位准确度有明显提高。
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Research on location service model based on interest point Association
Abstract:When the user is in a certain interest point, we need to get the accurate interest point information of the user through the location technology, so as to provide more targeted services. Aiming at the problem of low positioning accuracy in the prior art. This paper proposes a location correction algorithm based on the analysis of user history data. According to the characteristics of the user's interest point at different time periods, the user's historical positioning model is established. When the user makes the location service, according to the user's historical location rule, the current time and the current positioning error range, the membership degree of the membership function is used to evaluate the correlation degree between the user and each interest point on the map. Draw the point where the user is most likely to be in. Finally, this paper designs a comparative experiment to verify. The results show that the location accuracy is improved by combining the user history data and the location accuracy of interest points is improved obviously.
Keywords: location menbershipfunction location based service
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No.4735785120228714****
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