公开(公告)号：US20160379257A1

公开(公告)日：2016-12-29

申请号：US15261686

申请日：2016-09-09

Applicant: Yahoo! Inc.

Inventor： Bharathi Shekar ,  Ashootosh Chand ,  Arnab Nandi

IPC: G06Q30/02 ,  G06F17/30 ,  G06Q50/00

CPC classification number: G06Q30/0255 ,  G06F16/24578 ,  G06F16/29 ,  G06F16/9535 ,  G06Q30/0261 ,  G06Q50/01 ,  H04L65/403

Abstract: Techniques are described for providing automated recommendations of real-world locations, such as businesses, for users to visit based at least in part on historical location-preference information. The historical location-preference information used by the recommendation system may include the historical location-preference information of the person that requests the recommendation, other people explicitly identified as participants by the requestor, and/or other people implicitly determined to be participants. The historical location-preference information may be explicit, such as “check-ins” or reviews, or implicit. Implicit participants may be identified in a variety of ways, including social network relationships and the context in which the recommendation request is submitted.

Abstract translation: 描述了技术，用于至少部分地基于历史位置偏好信息来提供真实世界地点（例如企业）的自动建议，供用户访问。 推荐系统使用的历史位置偏好信息可以包括请求推荐的人的历史位置偏好信息，被请求者明确地标识为参与者的其他人和/或隐含地被确定为参与者的其他人。 历史位置偏好信息可能是明确的，例如“签入”或评论，或隐含的。 隐性参与者可以以各种方式被识别，包括社交网络关系以及推荐请求的上下文。

公开(公告)号：US20150302099A1

公开(公告)日：2015-10-22

申请号：US14755037

申请日：2015-06-30

Applicant: Yahoo! Inc.

Inventor： Bharathi Shekar ,  Ashootosh Chand ,  Arnab Nandi

IPC: G06F17/30 ,  H04L29/06

CPC classification number: G06Q30/0255 ,  G06F16/24578 ,  G06F16/29 ,  G06F16/9535 ,  G06Q30/0261 ,  G06Q50/01 ,  H04L65/403

Abstract: Techniques are described for providing automated recommendations of real-world locations, such as businesses, for users to visit based at least in part on historical location-preference information. The historical location-preference information used by the recommendation system may include the historical location-preference information of the person that requests the recommendation, other people explicitly identified as participants by the requestor, and/or other people implicitly determined to be participants. The historical location-preference information may be explicit, such as “check-ins” or reviews, or implicit. Implicit participants may be identified in a variety of ways, including social network relationships and the context in which the recommendation request is submitted.

Abstract translation: 描述了技术，用于至少部分地基于历史位置偏好信息来提供真实世界地点（例如企业）的自动建议，供用户访问。 推荐系统使用的历史位置偏好信息可以包括请求推荐的人的历史位置偏好信息，被请求者明确地标识为参与者的其他人和/或隐含地被确定为参与者的其他人。 历史位置偏好信息可能是明确的，例如“签入”或评论，或隐含的。 隐性参与者可以通过各种方式来识别，包括社交网络关系以及推荐请求的上下文。