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    • 1. 发明申请
    • IDENTIFYING INTERESTING LOCATIONS
    • 识别有趣的位置
    • US20100211308A1
    • 2010-08-19
    • US12388901
    • 2009-02-19
    • Yu ZhengLizhu ZhangXing XieWei-Ying Ma
    • Yu ZhengLizhu ZhangXing XieWei-Ying Ma
    • G01C21/02G01C21/00G06F17/18G06F17/30G06N5/02G06N5/04G06F7/06
    • G01C21/20
    • Interesting location identification embodiments are presented that generally involve identifying and providing the interesting locations found in a given geospatial region. This is accomplished by modeling the location histories of multiple individuals who traveled through the region of interest, and identifying interesting locations in the region based on the number of individuals visiting a location weighted in terms of the travel experience of those individuals. A prescribed number of the top most interesting locations in a specified region can be provided upon request. In addition, prescribed numbers of the top most popular travel sequences through the interesting locations and the top most experienced travelers in the specified region can be provided as well.
    • 提出了有趣的位置识别实施例,其通常涉及识别和提供在给定地理空间区域中找到的有趣位置。 这是通过对通过感兴趣区域旅行的多个人的位置历史进行建模来实现的,并且基于根据这些个人的旅行经验加权的位置的个人数量来识别该地区中的有趣位置。 可以根据要求提供规定数量的指定区域中最有趣的位置。 此外,还可以提供通过有趣位置的最热门旅行序列的规定数量以及指定区域中最有经验的旅行者。
    • 2. 发明申请
    • Mining Correlation Between Locations Using Location History
    • 利用位置历史挖掘相关地理位置
    • US20110208425A1
    • 2011-08-25
    • US12711130
    • 2010-02-23
    • Yu ZhengLizhu ZhangXing Xie
    • Yu ZhengLizhu ZhangXing Xie
    • G01C21/00G01S19/42G06F17/30G06N5/02G06F15/18
    • G01S19/14
    • Techniques describe determining a correlation between identified locations to recommend a location that may be of interest to an individual user. The process constructs a location model to identify locations. To construct the model, the process uses global positioning system (GPS) logs of geospatial locations collected over time and identifies trajectories representing trips of the individual user and extracts stay points from the trajectories. Each stay point represents a geographical region where the individual user stayed over a time threshold within a distance threshold. A location history is formulated for the individual user based on a sequence of the extracted stay points to identify locations.The process determines a correlation between identified locations. The process integrates travel experiences of individual users who have visited the locations in a weighted manner and identifies a common travel sequence which the individual users followed between the locations.
    • 技术描述确定所识别的位置之间的相关性,以推荐个体用户可能感兴趣的位置。 该过程构建位置模型以识别位置。 为了构建模型,该过程使用随时间收集的地理空间位置的全球定位系统(GPS)日志,并识别表示个人用户的行进轨迹,并从轨迹中提取停留点。 每个停留点表示个人用户在距离阈值内保持超过时间阈值的地理区域。 基于提取的停留点的序列来为个体用户制定位置历史记录以识别位置。 该过程确定识别位置之间的相关性。 该过程集成了以加权方式访问了位置的个人用户的旅行体验,并且识别了各个用户在各个位置之间遵循的公共旅行顺序。
    • 3. 发明授权
    • Mining correlation between locations using location history
    • 使用位置记录挖掘位置之间的相关性
    • US08612134B2
    • 2013-12-17
    • US12711130
    • 2010-02-23
    • Yu ZhengLizhu ZhangXing Xie
    • Yu ZhengLizhu ZhangXing Xie
    • G01C21/00
    • G01S19/14
    • Techniques describe determining a correlation between identified locations to recommend a location that may be of interest to an individual user. The process constructs a location model to identify locations. To construct the model, the process uses global positioning system (GPS) logs of geospatial locations collected over time and identifies trajectories representing trips of the individual user and extracts stay points from the trajectories. Each stay point represents a geographical region where the individual user stayed over a time threshold within a distance threshold. A location history is formulated for the individual user based on a sequence of the extracted stay points to identify locations.The process determines a correlation between identified locations. The process integrates travel experiences of individual users who have visited the locations in a weighted manner and identifies a common travel sequence which the individual users followed between the locations.
    • 技术描述确定所识别的位置之间的相关性,以推荐个体用户可能感兴趣的位置。 该过程构建位置模型以识别位置。 为了构建模型,该过程使用随时间收集的地理空间位置的全球定位系统(GPS)日志,并识别表示个人用户的行进轨迹,并从轨迹中提取停留点。 每个停留点表示个人用户在距离阈值内保持超过时间阈值的地理区域。 基于提取的停留点的序列来为个体用户制定位置历史记录以识别位置。 该过程确定识别位置之间的相关性。 该过程集成了以加权方式访问了位置的个人用户的旅行体验,并且识别了各个用户在各个位置之间遵循的公共旅行顺序。