公开(公告)号：US20180157758A1

公开(公告)日：2018-06-07

申请号：US15369849

申请日：2016-12-05

Applicant: Google Inc.

Inventor： Javier Spagnolo Arrizabalaga ,  Malte Nuhn ,  Quoc V. Le ,  Daniel Duckworth ,  Matthias Heiler

IPC: G06F17/30 ,  G06N3/08

CPC classification number: G06F17/30867 ,  G06F17/30861 ,  G06F17/3089 ,  G06N3/08

Abstract: Methods, systems, and apparatus including computer programs encoded on a computer storage medium, for augmenting search engine index that indexes resources from a collection of resources. In one aspect, a method of augmenting a first search engine index that indexes resources from a first collection of resources includes the actions of identifying a first resource, in the first collection of resources, that is indexed in the first search engine index for which a value of a search engine ranking signal is not available, wherein a search engine uses values of the search engine ranking signal in ranking resources in response to received search queries; processing text from the first resource using a machine learning model, the machine learning model being configured to: process the text to predict a value of the search engine ranking signal for the first resource; and updating the first search engine index by associating the predicted value of the search engine ranking signal with the first resource in the first search engine index.

公开(公告)号：US20160378869A1

公开(公告)日：2016-12-29

申请号：US14747492

申请日：2015-06-23

Applicant: Google Inc.

Inventor： Robin Nittka ,  Matthias Heiler ,  David Vago

IPC: G06F17/30

CPC classification number: G06F17/30867 ,  G06F17/3071

Abstract: A system and method for training a search query classifier may be used to develop a large database of search queries used to access inappropriate sensitive or offensive content. A database of well-known and frequently-used search queries for accessing inappropriate sensitive content is expanded by monitoring additional search queries received from a user within a preset time period of the user submitting one of the well-known and frequently-used search queries. The additional search queries received from a user are further evaluated to determine if they are likely associated with inappropriate sensitive or offensive content.

Abstract translation: 用于训练搜索查询分类器的系统和方法可以用于开发用于访问不合适的敏感或令人反感的内容的大型搜索查询数据库。 通过在用户提交已知和频繁使用的搜索查询之一的预设时间段内监视从用户接收到的附加搜索查询来扩展用于访问不合适的敏感内容的众所周知和经常使用的搜索查询的数据库。 进一步评估从用户接收到的附加搜索查询，以确定它们是否可能与不适当的敏感或令人反感的内容相关联。

公开(公告)号：US20160246791A1

公开(公告)日：2016-08-25

申请号：US14628093

申请日：2015-02-20

Applicant: Google Inc.

Inventor： Eileen Margaret Peters Long ,  Jonathan Frankle ,  Will Chambers ,  Jia Wu ,  Charles Thomas Curry ,  Matthias Heiler ,  Ruben Sipos ,  Christopher Kenneth Haulk ,  Angela Yu-Yun Yeung ,  Ingrid Karin von Glehn

IPC: G06F17/30

CPC classification number: G06F16/24578 ,  G06F16/951 ,  G06F16/9535

Abstract: Methods, systems, and media for presenting search results are provided. In accordance with some embodiments, the method comprises: receiving text corresponding to a search query; determining whether a content rating score associated with the search query is below a predetermined threshold, wherein the score is calculated by: identifying a first plurality of search results retrieved using the search query, wherein each search result is associated with one of a plurality of content ratings classes; and calculating the content rating score that is a proportion of search results associated with at least one of the content ratings classes among the first plurality of search results; in response to determining that the content rating score is below the predetermined threshold, identifying a second plurality of search results to be presented based on the search query; and causing the second plurality of search results to be presented.

Abstract translation: 提供了用于呈现搜索结果的方法，系统和媒体。 根据一些实施例，该方法包括：接收与搜索查询相对应的文本; 确定与所述搜索查询相关联的内容评级得分是否低于预定阈值，其中通过以下方式计算所述分数：识别使用所述搜索查询检索的第一多个搜索结果，其中每个搜索结果与多个内容中的一个相关联 评级班 以及计算与所述第一多个搜索结果中的至少一个所述内容评级等级相关联的搜索结果的比例的内容评分分数; 响应于确定所述内容分级得分低于所述预定阈值，基于所述搜索查询来识别要呈现的第二多个搜索结果; 并使第二多个搜索结果呈现。

公开(公告)号：US09336277B2

公开(公告)日：2016-05-10

申请号：US13906669

申请日：2013-05-31

Applicant: Google Inc.

Inventor： Behshad Behzadi ,  Evgeny A. Cherepanov ,  Nils Grimsmo ,  Aurelien Boffy ,  Alessandro Agostini ,  Karoly Csalogany ,  Fredrik Bergenlid ,  Matthias Heiler ,  Marcin M. Nowak-Przygodzki

IPC: G06F17/30

CPC classification number: G06F17/3053 ,  G06F17/3064 ,  G06F17/30684 ,  G06F17/30864

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating query suggestions based on search data. In one aspect, a method includes receiving, by one or more computers, a first query, determining query refinements based on the first query, generating, from the query refinements, refinement clusters, each refinement cluster corresponding to a particular topic and each refinement cluster including query refinements that are determined to belong to the particular topic to which the refinement cluster corresponds, ranking the refinement clusters, and selecting the refinement cluster that is highest in the ranking relative to other refinement clusters in the ranking as a first search refinement cluster for the first query.

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，用于基于搜索数据生成查询建议。 一方面，一种方法包括由一个或多个计算机接收第一查询，基于第一查询确定查询改进，从查询优化生成细化群集，对应于特定主题的每个细化群集和每个细化群集 包括被确定属于所述细化集群对应的特定主题的查询改进，对所述细化集群进行排序，以及将所述排名中相对于所述排名中的其他细化集群的排名中最高的细化集群选择为第一搜索细化集群， 第一个查询。

公开(公告)号：US20170061014A1

公开(公告)日：2017-03-02

申请号：US14841078

申请日：2015-08-31

Applicant: Google Inc.

Inventor： Matthias Heiler ,  Michael Schaer ,  Nikola Todorovic ,  Robin Nittka ,  Thomas Fischbacher ,  Laura Dragoi

IPC: G06F17/30

CPC classification number: G06F17/30867 ,  G06F17/30528

Abstract: A system and method for providing a search experience in which users are protected from exposure to inappropriate offensive or sensitive content is described. A search system may classify a search query and candidate search results obtained in response to the search query. Based on the classification of the search query and search results, the candidate search results may be modified to generate a set of search results presented to a user such that the presented search results do not include inappropriate sensitive or offensive content.

Abstract translation: 描述了一种用于提供用户被保护以免暴露于不适当的冒犯或敏感内容的搜索体验的系统和方法。 搜索系统可以对搜索查询和响应于搜索查询获得的候选搜索结果进行分类。 基于搜索查询和搜索结果的分类，可以修改候选搜索结果以生成呈现给用户的一组搜索结果，使得呈现的搜索结果不包括不适当的敏感或令人反感的内容。

公开(公告)号：US09317564B1

公开(公告)日：2016-04-19

申请号：US14518891

申请日：2014-10-20

Applicant: Google Inc.

Inventor： Dmity Korolev ,  Hartmut Maennel ,  Matthias Heiler ,  Michael Schaer ,  Thomas Hofmann ,  Wojciech Gajewski ,  Justyna Sidorska

IPC: G06F17/30

CPC classification number: G06F17/30 ,  G06F15/00 ,  G06F17/2785 ,  G06F17/30707 ,  G06K9/726

Abstract: Methods, systems, and apparatus, including computer program products, for constructing text classifiers. The method includes receiving a collection of candidate phrases for a given topic; filtering the received candidate phrases to remove erroneously included candidate phrases; assigning weights to the candidate phrases including scoring each candidate phrase using an initial classifier and assigning weights to the candidate phrases based on the scores; and generating a linear classifier using the filtered and weighted candidate phrases, where the linear classifier varies the weights for each phrase candidate depending on the length of the document being classified.

Abstract translation: 用于构建文本分类器的方法，系统和装置，包括计算机程序产品。 该方法包括接收给定主题的候选短语集合; 过滤所接收的候选短语以去除错误地包括的候选短语; 向所述候选短语分配权重，包括使用初始分类器对每个候选短语进行评分，并且基于所述分数向所述候选短语分配权重; 以及使用经滤波和加权的候选短语生成线性分类器，其中线性分类器根据被分类的文档的长度来改变每个短语候选的权重。

公开(公告)号：US09116952B1

公开(公告)日：2015-08-25

申请号：US13906889

申请日：2013-05-31

Applicant: Google Inc.

Inventor： Matthias Heiler ,  Behshad Behzadi ,  Evgeny A. Cherepanov ,  Nils Grimsmo ,  Aurelien Boffy ,  Alessandro Agostini ,  Karoly Csalogany ,  Fredrik Bergenlid ,  Marcin M. Nowak-Przygodzki

IPC: G06F17/30

CPC classification number: G06F17/30401 ,  G06F17/30345 ,  G06F17/30395 ,  G06F17/30528 ,  G06F17/30554 ,  G06F17/30672 ,  G06F17/30867 ,  G06F17/30973

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining query refinements using search data. In one aspect, a method includes receiving a first query and a second query each comprising one or more n-grams for a user session, determining a first set of query refinements for the first query, determining a second set of query refinements from the first set of query refinements, each query refinement in the second set of query refinements including at least one n-gram that is similar to an n-gram from the first query and at least on n-gram that is similar to an n-gram from the second query, scoring each query refinement in the second set of query refinements, selecting a third query from a group consisting of the second set of query refinements and the second query, and providing the third query as input to a search operation.

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，用于使用搜索数据确定查询改进。 在一个方面，一种方法包括接收第一查询和第二查询，每个查询包括用于用户会话的一个或多个n克，确定第一查询的第一组查询改进，从第一查询确定第二组查询优化 一组查询优化，每个查询细化在第二组查询优化中，包括至少一个类似于来自第一个查询的n-gram的n-gram，以及至少与n-gram相似的n-gram， 第二查询，对第二组查询细化中的每个查询细化进行评分，从由第二组查询优化和第二查询组成的组中选择第三查询，以及将第三查询作为输入提供给搜索操作。

公开(公告)号：US09727603B1

公开(公告)日：2017-08-08

申请号：US14813237

申请日：2015-07-30

Applicant: Google Inc.

Inventor： Matthias Heiler ,  Behshad Behzadi ,  Evgeny A. Cherepanov ,  Nils Grimsmo ,  Aurelien Boffy ,  Alessandro Agostini ,  Karoly Csalogany ,  Fredrik Bergenlid ,  Marcin M. Nowak-Przygodzki

IPC: G06F17/30

CPC classification number: G06F17/30401 ,  G06F17/30345 ,  G06F17/30395 ,  G06F17/30528 ,  G06F17/30554 ,  G06F17/30672 ,  G06F17/30867 ,  G06F17/30973

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining query refinements using search data. In one aspect, a method includes receiving a first query and a second query each comprising one or more n-grams for a user session, determining a first set of query refinements for the first query, determining a second set of query refinements from the first set of query refinements, each query refinement in the second set of query refinements including at least one n-gram that is similar to an n-gram from the first query and at least on n-gram that is similar to an n-gram from the second query, scoring each query refinement in the second set of query refinements, selecting a third query from a group consisting of the second set of query refinements and the second query, and providing the third query as input to a search operation.

公开(公告)号：US09262852B1

公开(公告)日：2016-02-16

申请号：US14587545

申请日：2014-12-31

Applicant: Google Inc.

Inventor： Roland Kehl ,  Matthias Heiler ,  Gokhan Hasan Bakir

IPC: G06K9/00 ,  G06T11/20

CPC classification number: G06T11/206 ,  G06K9/00651 ,  G06K9/469 ,  G06T11/203

Abstract: A system and method for generating a road network based on satellite imagery. Plural pixels corresponding to satellite imagery of a region are obtained. For each of the plural pixels, a probability value corresponding to the probability that the pixel belongs within the road network is calculated. A grayscale image is formed based on the calculated probability values. Plural curves are produced based on the grayscale image, wherein the producing of each curve includes positioning a shape on the grayscale image so that an average intensity of the grayscale image covered by the shape exceeds a preset threshold, moving the shape about the grayscale image while the average intensity is maintained, and tracking the movement of the shape to produce the curve. A planar-connected graph is generated by connecting at least portions of the plural curves. The planar-connected graph corresponds to the road network.

公开(公告)号：US20140358906A1

公开(公告)日：2014-12-04

申请号：US13906669

申请日：2013-05-31

Applicant: Google Inc.

Inventor： Behshad Behzadi ,  Evgeny A. Cherepanov ,  Nils Grimsmo ,  Aurelien Boffy ,  Alessandro Agostini ,  Karoly Csalogany ,  Fredrik Bergenlid ,  Matthias Heiler ,  Marcin M. Nowak-Przygodzki

IPC: G06F17/30

CPC classification number: G06F17/3053 ,  G06F17/3064 ,  G06F17/30684 ,  G06F17/30864

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating query suggestions based on search data. In one aspect, a method includes receiving, by one or more computers, a first query, determining query refinements based on the first query, generating, from the query refinements, refinement clusters, each refinement cluster corresponding to a particular topic and each refinement cluster including query refinements that are determined to belong to the particular topic to which the refinement cluster corresponds, ranking the refinement clusters, and selecting the refinement cluster that is highest in the ranking relative to other refinement clusters in the ranking as a first search refinement cluster for the first query.

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，用于基于搜索数据生成查询建议。 一方面，一种方法包括由一个或多个计算机接收第一查询，基于第一查询确定查询改进，从查询优化生成细化群集，对应于特定主题的每个细化群集和每个细化群集 包括被确定属于所述细化集群对应的特定主题的查询改进，对所述细化集群进行排序，以及将所述排名中相对于所述排名中的其他细化集群的排名中最高的细化集群选择为第一搜索细化集群， 第一个查询。