公开(公告)号：US09460348B1

公开(公告)日：2016-10-04

申请号：US14721573

申请日：2015-05-26

Applicant: Google Inc.

Inventor： Hartwig Adam ,  Jignashu Parikh

IPC: G06K9/68 ,  G06K9/00

CPC classification number: G06K9/00677

Abstract: Methods and apparatus are disclosed for identifying a photo that lacks location metadata indicating where the photo was captured and determining a photo location to associate with the photo. In some implementations, a photo associated with a user is identified that includes metadata indicating a date and/or time it was captured, but lacks location data indicating where the photo was captured. In some versions of those implementations, a relationship of the metadata of the photo to at least one of a location date and a location time associated with a visit location of the user is determined. A photo location may be determined based on the visit location and associated with the photo. In some implementations, the visit location of the user may be determined independent of any location sensor.

Abstract translation: 公开了用于识别缺少位置元数据的照片的方法和装置，该位置元数据指示拍摄照片的位置并确定与照片相关联的照片位置。 在一些实现中，识别与用户相关联的照片，其包括指示捕获的日期和/或时间的元数据，但是缺少指示拍摄照片的位置数据。 在这些实现的一些版本中，确定照片的元数据与与用户的访问位置相关联的位置日期和位置时间中的至少一个的关系。 可以基于访问位置并与照片相关联地确定照片位置。 在一些实现中，可以独立于任何位置传感器来确定用户的访问位置。

公开(公告)号：US10430479B1

公开(公告)日：2019-10-01

申请号：US15359353

申请日：2016-11-22

Applicant: Google Inc.

Inventor： Jignashu Parikh ,  Subhadip Sarkar

IPC: G06F16/95 ,  G06F16/9535 ,  G06F16/9537

Abstract: Methods and systems for providing a user with content relevant to a location of interest to the user, when the user is determined to be at or near the location, are presented. The user's interest in the location may be determined based on queries about the location received from the user prior to the user arriving at the location. The queries received from the user about the location are used to build a location recommendation model, which generates personalized content relevant to the location and to one or more interest verticals identified for the user. The location recommendation model is built using a location recommendation engine that collects data about the user, the queried location, one or more associations between the user, the queried location, and/or one or more other users, as well as various other information related to the user's interests and the queried location.