公开(公告)号：US09152726B2

公开(公告)日：2015-10-06

申请号：US12958320

申请日：2010-12-01

申请人： Dimitrios Lymperopoulos ,  Jie Liu ,  Melissa Wood Dunn ,  Ashwini K. Varma ,  Fang Wang ,  Jen-Hsien Kenny Chien

发明人： Dimitrios Lymperopoulos ,  Jie Liu ,  Melissa Wood Dunn ,  Ashwini K. Varma ,  Fang Wang ,  Jen-Hsien Kenny Chien

IPC分类号： G06F9/44 ,  G06F17/30

CPC分类号： G06F17/3087

摘要： A location-related entity ranking technique is described that allows a user see the ranking of location-related entities near a desired location in response to a query. The technique can leverage the searches performed by a community of mobile device users at a given location and at a given time to infer the location-related entities that are popular at this specific location and time window. The technique can also filter out or re-rank these location-related entities based on the personal preferences of the person that submits the query and group preferences of a group to which the user belongs. The personal preferences can also be context specific (i.e. different restaurant preferences for lunch and dinner times).

摘要翻译： 描述了位置相关的实体排序技术，其允许用户响应于查询来查看在期望位置附近的位置相关实体​​的排名。 该技术可以利用在给定位置处和在给定时间由移动设备用户的社区执行的搜索来推断在该特定位置和时间窗口中流行的位置相关实体​​。 该技术还可以基于提交用户所属的组的查询和组偏好的个人偏好来过滤掉或重新排列这些位置相关实体​​。 个人偏好也可以是上下文特定的（即午餐和晚餐时间的不同餐厅偏好）。

公开(公告)号：US20120143859A1

公开(公告)日：2012-06-07

申请号：US12958320

申请日：2010-12-01

申请人： Dimitrios Lymperopoulos ,  Jie Liu ,  Melissa Wood Dunn ,  Ashwini K. Varma ,  Fang Wang ,  Jen-Hsien Kenny Chien

发明人： Dimitrios Lymperopoulos ,  Jie Liu ,  Melissa Wood Dunn ,  Ashwini K. Varma ,  Fang Wang ,  Jen-Hsien Kenny Chien

IPC分类号： G06F17/30

CPC分类号： G06F17/3087

摘要： A location-related entity ranking technique is described that allows a user see the ranking of location-related entities near a desired location in response to a query. The technique can leverage the searches performed by a community of mobile device users at a given location and at a given time to infer the location-related entities that are popular at this specific location and time window. The technique can also filter out or re-rank these location-related entities based on the personal preferences of the person that submits the query and group preferences of a group to which the user belongs. The personal preferences can also be context specific (i.e. different restaurant preferences for lunch and dinner times).

摘要翻译： 描述了位置相关的实体排序技术，其允许用户响应于查询来查看在期望位置附近的位置相关实体​​的排名。 该技术可以利用在给定位置处和在给定时间由移动设备用户的社区执行的搜索来推断在该特定位置和时间窗口中流行的位置相关实体​​。 该技术还可以基于提交用户所属的组的查询和组偏好的个人偏好来过滤掉或重新排列这些位置相关实体​​。 个人偏好也可以是上下文特定的（即午餐和晚餐时间的不同餐厅偏好）。