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    • 1. 发明授权
    • Collaborative location and activity recommendations
    • 协作位置和活动建议
    • US08719198B2
    • 2014-05-06
    • US12773771
    • 2010-05-04
    • Yu ZhengWencheng ZhengXing Xie
    • Yu ZhengWencheng ZhengXing Xie
    • G06F17/30
    • G01C21/20H04W4/029H04W64/00
    • Techniques describe constructing a location and activity recommendation model to identify relationships between locations and activities. To construct the model, the process obtains global positioning system (GPS) logs of geographical locations collected over time and identifies stay points representing locations visited by an individual user. The process also identifies points of interest in a region using a database and correlates a relationship between activity to activity by submitting queries to a search engine. The information gathered is used to fill locations and activities in a location-activity matrix. Recommendations may be made for a location and/or activity when given a user query, based on a user's present geographical location, or a prediction of a user's interest.
    • 技术描述了构建位置和活动推荐模型以识别位置和活动之间的关系。 为了构建模型,该过程获得随时间收集的地理位置的全球定位系统(GPS)日志,并且标识表示个人用户访问的位置的停留点。 该过程还使用数据库识别区域中的兴趣点,并通过向搜索引擎提交查询来将活动与活动之间的关系相关联。 收集的信息用于填充位置活动矩阵中的位置和活动。 当基于用户的当前地理位置给定用户查询或用户兴趣的预测时,可以针对位置和/或活动进行建议。
    • 2. 发明申请
    • Collaborative Location and Activity Recommendations
    • 协作位置和活动建议
    • US20110276565A1
    • 2011-11-10
    • US12773771
    • 2010-05-04
    • Yu ZhengWencheng ZhengXing Xie
    • Yu ZhengWencheng ZhengXing Xie
    • G06F17/30G01C21/00
    • G01C21/20H04W4/029H04W64/00
    • Techniques describe constructing a location and activity recommendation model to identify relationships between locations and activities. To construct the model, the process obtains global positioning system (GPS) logs of geographical locations collected over time and identifies stay points representing locations visited by an individual user. The process also identifies points of interest in a region using a database and correlates a relationship between activity to activity by submitting queries to a search engine. The information gathered is used to fill locations and activities in a location-activity matrix. Recommendations may be made for a location and/or activity when given a user query, based on a user's present geographical location, or a prediction of a user's interest.
    • 技术描述了构建位置和活动推荐模型以识别位置和活动之间的关系。 为了构建模型,该过程获得随时间收集的地理位置的全球定位系统(GPS)日志,并且标识表示个人用户访问的位置的停留点。 该过程还使用数据库识别区域中的兴趣点,并通过向搜索引擎提交查询来将活动与活动之间的关系相关联。 收集的信息用于填充位置活动矩阵中的位置和活动。 当基于用户的当前地理位置给定用户查询或用户兴趣的预测时,可以针对位置和/或活动进行建议。