公开(公告)号：US09262541B2

公开(公告)日：2016-02-16

申请号：US14057692

申请日：2013-10-18

Applicant: Google Inc.

Inventor： Neha Arora

IPC: G06F17/30

CPC classification number: G06F17/3053 ,  G06F17/30241 ,  G06F17/30554 ,  G06F17/30867 ,  G06F17/3087 ,  H04L61/609

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing local search results. In one aspect, a method determines a first local document in a set of local documents for search results is eligible for a demotion operation. The determination is based at least in part on a proximity measure based on the location of the user device and a location specified for the first local document. In response to the determination, for each other local documents in the set of local documents, a proximity measure location of the user device and the location specified for the other local document is determined. The first local document is demoted in its ranking when at least one of the proximity measures indicates a respective other local document has a specified location that is within a threshold distance of the location of the user device.

Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于处理本地搜索结果。 一方面，一种方法确定用于搜索结果的一组本地文档中的第一本地文档有资格进行降级操作。 该确定至少部分地基于基于用户设备的位置和为第一本地文档指定的位置的接近度量。 响应于确定，对于本地文档集合中的彼此的本地文档，确定用户设备的接近度量位置和为另一本地文档指定的位置。 当至少一个邻近度量指示相应的其他本地文档具有在用户设备的位置的阈值距离内的指定位置时，第一本地文档在其排名中降级。

公开(公告)号：US20150112978A1

公开(公告)日：2015-04-23

申请号：US14057692

申请日：2013-10-18

Applicant: Google Inc.

Inventor： Neha Arora

IPC: G06F17/30

CPC classification number: G06F17/3053 ,  G06F17/30241 ,  G06F17/30554 ,  G06F17/30867 ,  G06F17/3087 ,  H04L61/609

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing local search results. In one aspect, a method determines a first local document in a set of local documents for search results is eligible for a demotion operation. The determination is based at least in part on a proximity measure based on the location of the user device and a location specified for the first local document. In response to the determination, for each other local documents in the set of local documents, a proximity measure location of the user device and the location specified for the other local document is determined. The first local document is demoted in its ranking when at least one of the proximity measures indicates a respective other local document has a specified location that is within a threshold distance of the location of the user device.

Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于处理本地搜索结果。 一方面，一种方法确定用于搜索结果的一组本地文档中的第一本地文档有资格进行降级操作。 该确定至少部分地基于基于用户设备的位置和为第一本地文档指定的位置的接近度量。 响应于确定，对于本地文档集合中的彼此的本地文档，确定用户设备的接近度量位置和为另一本地文档指定的位置。 当至少一个邻近度量指示相应的其他本地文档具有在用户设备的位置的阈值距离内的指定位置时，第一本地文档在其排名中降级。

公开(公告)号：US20170061025A1

公开(公告)日：2017-03-02

申请号：US15350377

申请日：2016-11-14

Applicant: Google Inc.

Inventor： Neha Arora ,  Ke Yang ,  Zuguang Yang

IPC: G06F17/30

CPC classification number: G06F17/30867 ,  G06F17/30241 ,  G06F17/30424 ,  G06F17/3053 ,  G06F17/30554 ,  G06F17/30864

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for enforcing the category diversity or sub-category diversity of POIs that are identified in response to a local search. According to one implementation, a method includes receiving a request to identify points of interest (POIs), obtaining data identifying (i) candidate points of interest (POIs) that satisfy the request, (ii) a respective category associated with each candidate POI, and (iii) a non-scaled score associated with each candidate POI, and ranking, for each of one or more of the categories, the candidate POIs associated with the category, based on the respective non-scaled scores. The method also includes scaling, for each of the one or more categories, the non-scaled scores of the ranked candidate POIs associated with the category, ranking the candidate POIs using the scaled scores, for the candidate POIs that are associated with the one or more categories, and the non-scaled scores, for the candidate POIs that are not associated with the one or more categories, and providing data that identifies two or more of the candidate POIs, as ranked according to the scaled scores and the non-scaled scores.

Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于执行响应于本地搜索而识别的POI的类别分集或子类别多样性。 根据一个实施方式，一种方法包括接收识别兴趣点（POI）的请求，获得识别（i）满足该请求的候选兴趣点（POI）的数据，（ii）与每个候选POI相关联的相应类别， 以及（iii）与每个候选POI相关联的非缩放分数，并且基于相应的非缩放分数，针对所述类别中的一个或多个类别中的每一个对与该类别相关联的候选POI进行排名。 该方法还包括对于所述一个或多个类别中的每一个，对与该类别相关联的排名候选POI的未缩放分数进行缩放，使用缩放分数对与候选POI相关联的候选POI进行排序， 更多类别以及与该一个或多个类别不相关联的候选POI的非缩放分数，以及提供标识候选POI中的两个或更多个的数据，如根据缩放分数和未缩放分数 分数。

公开(公告)号：US20160070703A1

公开(公告)日：2016-03-10

申请号：US14011200

申请日：2013-08-27

Applicant: Google Inc.

Inventor： Neha Arora ,  Bharat Kalyanpur

IPC: G06F17/30

CPC classification number: G06F16/9537

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing local search results. In one aspect, a method includes receiving data specifying a set of documents ranked according to a first order based on search scores; determining a density score that is based on a number of local documents in the set of documents; determining for each local document: a proximity measure based on the geographic location of the user device and a geographic location specified for the local document and a distance factor based on the proximity measure for the local document and the density score for the set of documents; and adjusting, based at least in part on the distance factors of the local documents, a position of at least one of the local documents in the first order.

Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于处理本地搜索结果。 一方面，一种方法包括基于搜索分数接收指定根据第一顺序排列的一组文档的数据; 确定基于该组文档中的多个本地文档的密度分数; 确定每个本地文档：基于用户设备的地理位置的接近度量以及为本地文档指定的地理位置以及基于本地文档的邻近度量的距离因子以及该组文档的密度分数; 以及至少部分地基于所述本地文档的距离因子来调整所述第一顺序中的至少一个所述本地文档的位置。