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PROGRAM, VEHICLE TERMINAL, MOBILE TERMINAL, ESTIMATION SERVER, AND METHOD FOR ESTIMATING BEHAVIORS BASED ON DRIVING CHARACTERISTICS OF USERS

机译:基于用户的驾驶特征的程序,车辆终端,移动终端,估计服务器以及估计行为的方法

摘要

PROBLEM TO BE SOLVED: To provide a program and the like that can estimate behaviors such as visiting shops or purchasing products/services, from information easily impacted by the personality or the habituation of a user.SOLUTION: Disclosed is a program to cause a computer to work, including the means of: model storing means that stores by associating use probabilities of estimated behavior items on the basis of products/services with driving characteristics of each user on the basis of vehicle information; and estimated behavior item selecting means that selects estimated behavior items corresponding to the use probabilities from the driving characteristics of users by using the model storing means. The model storing means stores a model established by machine learning using teacher data in which the previous estimated behavior items of a user and the driving characteristic of the user are associated. Moreover, the driving characteristics are segmented for each type of roads and/or for each type of traffic congestion corresponding to the position of a vehicle on a map, and the model storage means stores the different use probabilities for each estimated behavior item in accordance with the type of roads and/or the type of congestion.SELECTED DRAWING: Figure 2
机译:解决的问题:提供一种程序或类似程序,可以根据容易受到用户个性或习惯影响的信息来估计诸如逛商店或购买产品/服务之类的行为。解决方案:公开了一种导致计算机运行的程序。工作,包括:模型存储装置,其通过将基于产品/服务的估计行为项的使用概率与基于车辆信息的每个用户的驾驶特性相关联来存储;估计行为项目选择装置,通过使用模型存储装置从用户的驾驶特征中选择与使用概率相对应的估计行为项目。模型存储装置存储通过使用教师数据的机器学习而建立的模型,其中将用户的先前估计的行为项与用户的驾驶特性相关联。此外,针对每种类型的道路和/或对应于车辆在地图上的位置的每种类型的交通拥堵,对驾驶特性进行分段,并且模型存储装置根据每个估计的行为项存储不同的使用概率。道路类型和/或拥堵类型。选定的图纸:图2

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