公开(公告)号：US20150106366A1

公开(公告)日：2015-04-16

申请号：US14054708

申请日：2013-10-15

Applicant: GOOGLE INC.

Inventor： Matthew Nicholas Stuttle ,  Sebastian Dörner ,  Alexandra Gherghina

IPC: G06F17/30

CPC classification number: G06F17/3097 ,  G06F17/3053 ,  G06F17/30554 ,  G06F17/30598 ,  G06Q30/0259 ,  G06Q30/0261 ,  G06Q30/0267 ,  G06Q30/0269 ,  G06Q50/01

Abstract: A group recommendation provides end users in a social group a set of recommended destinations based on the combined personal preferences of the members of the social group. Members of a social group are identified using a combination of location based signals and social graph information in response to receiving a recommendation request. The group recommendation may be determined by combining the personal preferences associated with each member of the group into a master preference profile. Alternatively, the group recommendation may be determined by first calculating an individual recommendation list for each member of the social group and then calculating a composite score for each recommendation on the individual recommendation lists.

Abstract translation: 小组建议根据社会团体成员的个人喜好，向社会团体中的最终用户提供一组推荐的目的地。 响应于接收到推荐请求，使用基于位置的信号和社交图形信息的组合来识别社会群体的成员。 可以通过将与组中的每个成员相关联的个人偏好组合成主偏好配置文件来确定组建议。 或者，可以通过首先为社会群体的每个成员计算个人推荐列表，然后针对各个推荐列表计算每个推荐的综合得分来确定群组推荐。

公开(公告)号：US20170116211A1

公开(公告)日：2017-04-27

申请号：US15402023

申请日：2017-01-09

Applicant: GOOGLE INC.

Inventor： Matthew Nicholas Stuttle ,  Sebastian Dörner ,  Alexandra Gherghina

IPC: G06F17/30

CPC classification number: G06F16/90324 ,  G06F16/24578 ,  G06F16/248 ,  G06F16/285 ,  G06Q30/0259 ,  G06Q30/0261 ,  G06Q30/0267 ,  G06Q30/0269 ,  G06Q50/01

Abstract: A group recommendation provides end users in a social group a set of recommended destinations based on the combined personal preferences of the members of the social group. Members of a social group are identified using a combination of location based signals and social graph information in response to receiving a recommendation request. The group recommendation may be determined by combining the personal preferences associated with each member of the group into a master preference profile. Alternatively, the group recommendation may be determined by first calculating an individual recommendation list for each member of the social group and then calculating a composite score for each recommendation on the individual recommendation lists.

公开(公告)号：US09558242B2

公开(公告)日：2017-01-31

申请号：US14054708

申请日：2013-10-15

Applicant: GOOGLE INC.

Inventor： Matthew Nicholas Stuttle ,  Sebastian Dörner ,  Alexandra Gherghina

IPC: G06F17/30

CPC classification number: G06F17/3097 ,  G06F17/3053 ,  G06F17/30554 ,  G06F17/30598 ,  G06Q30/0259 ,  G06Q30/0261 ,  G06Q30/0267 ,  G06Q30/0269 ,  G06Q50/01

Abstract: A group recommendation provides end users in a social group a set of recommended destinations based on the combined personal preferences of the members of the social group. Members of a social group are identified using a combination of location based signals and social graph information in response to receiving a recommendation request. The group recommendation may be determined by combining the personal preferences associated with each member of the group into a master preference profile. Alternatively, the group recommendation may be determined by first calculating an individual recommendation list for each member of the social group and then calculating a composite score for each recommendation on the individual recommendation lists.

Abstract translation: 小组建议根据社会团体成员的个人喜好，向社会团体中的最终用户提供一组推荐的目的地。 响应于接收到推荐请求，使用基于位置的信号和社交图形信息的组合来识别社会群体的成员。 可以通过将与组中的每个成员相关联的个人偏好组合成主偏好配置文件来确定组建议。 或者，可以通过首先为社会群体的每个成员计算个人推荐列表，然后针对各个推荐列表上的每个推荐计算综合得分来确定群组推荐。

公开(公告)号：US09367589B1

公开(公告)日：2016-06-14

申请号：US14080772

申请日：2013-11-14

Applicant: GOOGLE INC.

Inventor： Joanna Franciszka Swietlicka ,  Matthew Nicholas Stuttle ,  Sebastian Dörner ,  Alexandra Gherghina ,  Hassan Mansoor ,  Christian Brunschen ,  Richard Michael Farrell ,  Evelyn Kim ,  Samreen Dhillon ,  Federico Asara ,  Tyrone Nicholas

IPC: G06F17/30

CPC classification number: G06F17/30386 ,  G06F17/30241

Abstract: A system and method for providing destination recommendations to a user based on mining of a location history. The location history provides information on locations visited by users of the system over time. The system mines the location history to identify location pairs. Each location pair comprises an originating location visited by a user and a next location that was visited by the user within a defined time threshold of visiting the originating location. The system aggregates location pairs by common originating location. The system then takes into account the current location of a requesting user. The system uses the current location information to identify a corresponding originating location in a location history index. The system provides recommendations based at least in part on how frequently certain next locations were visited after visiting the originating location.

Abstract translation: 一种用于基于挖掘位置历史向用户提供目的地建议的系统和方法。 位置历史记录提供了系统用户随时间访问的位置的信息。 系统挖掘位置历史以识别位置对。 每个位置对包括用户访问的始发位置和在访问发起位置的定义的时间阈值内被用户访问的下一个位置。 系统通过公共始发位置聚合位置对。 然后系统考虑到请求用户的当前位置。 系统使用当前位置信息来识别位置历史索引中的对应始发位置。 该系统至少部分地提供了在访问原始位置之后访问某些下一个位置的频率的建议。