基于游览行为的游客偏好学习方法  

Tourists’ preference learning method based on travel behavior

作　　者：孙磊 宾辰忠[2] 古天龙[3] 孙彦鹏 宣闻 SUN Lei;BIN Chen-zhong;GU Tian-long;SUN Yan-peng;XUAN Wen(School of Electronic Engineering and Automation,Guilin University of Electronic Technology,Guilin 541004,China;School of Information and Communication,Guilin University of Electronic Technology,Guilin 541004,China;Guangxi Key Lab of Trusted Software,Guilin University of Electronic Technology,Guilin 541004,China)

机构地区：[1]桂林电子科技大学电子工程与自动化学院,广西桂林541004 [2]桂林电子科技大学信息与通信学院,广西桂林541004 [3]桂林电子科技大学广西可信软件重点实验室,广西桂林541004

出　　处：《计算机工程与设计》2019年第10期3056-3060,F0003,共6页Computer Engineering and Design

基　　金：国家自然科学基金项目(61572146、U1501252、U1711263);广西创新驱动重大专项基金项目(AA17202024);广西自然科学基金项目(2016GXNSFDA380006);广西高校中青年教师基础能力提升基金项目(2018KYD203)

摘　　要：针对目前游客偏好学习方法无法获取特定景区内的细粒度客观游客偏好问题,提出一种基于游览行为的游客偏好学习方法。通过结合iBeacon并利用智能手机中的相机、加速度传感器采集游客真实的行为数据,获取游客在景区内各游览点的拍照次数、游玩时间、停留次数等多种游览行为,通过偏好学习模型获取游客偏好。与传统的通过评分、评价获取游客偏好的方法相比,该方法可准确客观获取游客对于景区中游览点的喜好度。At present,the methods of tourist preference learning cannot obtain fine-grained and objective tourist preference.In response to this situation,a tourist preference learning method based on tour behaviors was proposed,which used the camera and acceleration sensor in smart phone and iBeacon to collect the objective real behavior data of the tourists,a variety of behaviors was analyzed such as the amount of photos and the enjoying time of the tourists at the point of the scenic spots,which were used to obtain tourist preferences using apreference learning model.Compared with the traditional methods of learning tourists’ preferences by scoring and evaluating,the proposed method obtains the tourists’ preference for the scenic spots more accurately.

关 键 词：游览行为 游客偏好 行为获取 偏好学习模型 低功耗蓝牙 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]