公开(公告)号：US09940367B1

公开(公告)日：2018-04-10

申请号：US14824553

申请日：2015-08-12

Applicant: Google Inc.

Inventor： Steven D. Baker ,  Srinivasan Venkatachary ,  Robert Andrew Brennan ,  Per Bjornsson ,  Yi Liu ,  Hadar Shemtov ,  Massimiliano Ciaramita ,  Ioannis Tsochantaridis

IPC: G06F17/30

CPC classification number: G06F17/30867

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for scoring candidate answer passages. In one aspect, a method includes receiving a query determined to be a question query that seeks an answer response and data identifying resources determined to be responsive to the query; for a subset of the resources: receiving candidate answer passages; determining, for each candidate answer passage, a query term match score that is a measure of similarity of the query terms to the candidate answer passage; determining, for each candidate answer passage, an answer term match score that is a measure of similarity of answer terms to the candidate answer passage; determining, for each candidate answer passage, a query dependent score based on the query term match score and the answer term match score; and generating an answer score that is a based on the query dependent score.

公开(公告)号：US20150142851A1

公开(公告)日：2015-05-21

申请号：US14083057

申请日：2013-11-18

Applicant: GOOGLE INC.

Inventor： Nitin Gupta ,  Preyas Popat ,  Steven D. Baker ,  Srinivasan Venkatachary

IPC: G06F17/30

CPC classification number: G06F17/30967

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying implicit question queries. In one aspect, a method includes receiving a query in unstructured form, comparing terms of the query to query templates, determining, based on the comparison, a match of the query terms to a first query template, wherein the first query template is not determined to be indicative of a question query, determining, based on the first query template, a second query template, and determining that the query is an implicit question query in response to the second query template being indicative of a question queries.

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，用于识别隐含的问题查询。 一方面，一种方法包括以非结构形式接收查询，将查询的条款与查询模板进行比较，基于比较确定查询词语与第一查询模板的匹配，其中第一查询模板未被确定 指示问题查询，基于第一查询模板确定第二查询模板，并且响应于第二查询模板指示问题查询来确定该查询是隐式问题查询。

公开(公告)号：US20170017668A1

公开(公告)日：2017-01-19

申请号：US15208345

申请日：2016-07-12

Applicant: Google Inc.

Inventor： Eric Steinlauf ,  Grant Dasher ,  Matthew K. Gray ,  Steven D. Baker ,  Namrata U. Godbole ,  Samer Hassan Hassan ,  Ionut Georgescu

IPC: G06F17/30

Abstract: Methods and systems for providing an image with an answer to a question query. A method receiving a first query that is determined to be a question query; generating a second query form the first query; causing a search of a plurality of resources of a first corpus using the second query as input, wherein the first corpus of resources are resources that include images and textual data rendered with the images; receiving data indicating a set of resources determined to be responsive to the second query; causing a search for images in the set of resources; selecting, from the set of images and based in part on the search for images in the first set of resources, an image to be provided with the answer in response to the query; and providing, by the data processing apparatus, and with the answer, the image in response to the first query.

Abstract translation: 用于向图像提供问题查询的答案的方法和系统。 接收被确定为问题查询的第一查询的方法; 从第一个查询生成第二个查询; 使用所述第二查询作为输入来搜索第一语料库的多个资源，其中所述第一资源语料库是包括用所述图像呈现的图像和文本数据的资源; 接收指示被确定为响应于所述第二查询的一组资源的数据; 导致搜索资源集中的图像; 从所述图像集合中选择并部分地基于对所述第一资源集合中的图像的搜索，响应于所述查询而提供具有所述答案的图像; 以及由所述数据处理装置提供响应于所述第一查询的所述图像。

公开(公告)号：US09898554B2

公开(公告)日：2018-02-20

申请号：US14083057

申请日：2013-11-18

Applicant: Google Inc.

Inventor： Nitin Gupta ,  Preyas Popat ,  Steven D. Baker ,  Srinivasan Venkatachary

IPC: G06F7/00 ,  G06F17/30

CPC classification number: G06F17/30967

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying implicit question queries. In one aspect, a method includes receiving a query in unstructured form, comparing terms of the query to query templates, determining, based on the comparison, a match of the query terms to a first query template, wherein the first query template is not determined to be indicative of a question query, determining, based on the first query template, a second query template, and determining that the query is an implicit question query in response to the second query template being indicative of a question queries.

公开(公告)号：US09436747B1

公开(公告)日：2016-09-06

申请号：US14750483

申请日：2015-06-25

Applicant: Google Inc.

Inventor： Steven D. Baker ,  Michael E. Flaster ,  Nitin Gupta ,  Paul Haahr ,  Srinivasan Venkatachary ,  Yonghui Wu

IPC: G06F17/30 ,  G06F17/24

CPC classification number: G06F17/30563 ,  G06F17/248 ,  G06F17/30389 ,  G06F17/3064 ,  G06F17/30864

Abstract: Methods, systems, and apparatus, including computer program products, for generating synthetic queries using seed queries and structural similarity between documents are described. In one aspect, a method includes identifying embedded coding fragments (e.g., HTML tag) from a structured document and a seed query; generating one or more query templates, each query template corresponding to at least one coding fragment, the query template including a generative rule to be used in generating candidate synthetic queries; generating the candidate synthetic queries by applying the query templates to other documents that are hosted on the same web site as the document; identifying terms that match structure of the query templates as candidate synthetic queries; measuring a performance for each of the candidate synthetic queries; and designating as synthetic queries the candidate synthetic queries that have performance measurements exceeding a performance threshold.

公开(公告)号：US20130282698A1

公开(公告)日：2013-10-24

申请号：US13919920

申请日：2013-06-17

Applicant: Google Inc.

Inventor： Bilgehan Uygar Oztekin ,  Steven D. Baker ,  Bryan C. Horling

IPC: G06F17/30

CPC classification number: G06F16/248 ,  G06F16/90335 ,  G06Q30/0281

Abstract: A server system receives a question from an inquirer at a client. In response, the server system identifies a plurality of information items corresponding to the question. At least one of the information items has associated classification data profiling the information therein. The server system generates a profile for the question based on the classification data of the information items and identifies one or more consultants for the question among a plurality of candidates in accordance with a comparison of the question profile and the candidates' respective user profiles. The server system submits the question to at least one of the consultants for answer. After receiving an answer to the question from the consultant, the server system forwards the answer to a client for display to the inquirer.

Abstract translation: 服务器系统从客户端的询问者处收到问题。 作为响应，服务器系统识别与该问题相对应的多个信息项。 所述信息项中的至少一个具有对其中的信息进行分析的关联分类数据。 服务器系统基于信息项的分类数据生成问题的简档，并且根据问题简档和候选人的相应用户简档的比较来识别多个候选中的问题的一个或多个顾问。 服务器系统将问题提交给至少一位顾问进行回答。 在从顾问那里收到问题的答案后，服务器系统会将答复转发给客户端进行查询。

公开(公告)号：US09239823B1

公开(公告)日：2016-01-19

申请号：US13893462

申请日：2013-05-14

Applicant: Google Inc.

Inventor： Trystan G. Upstill ,  Steven D. Baker

IPC: G06F17/30 ,  G06F17/27

CPC classification number: G06F17/27 ,  G06F17/2795 ,  G06F17/3064 ,  G06F17/30672 ,  G06F17/30737 ,  Y10S707/99933

Abstract: One embodiment of the present invention provides a system for detecting correlations between terms. During operation, the system identifies one or more lists contained in one or more documents and identifies two terms co-occurring in the lists. The system further determines a correlation between the co-occurring terms, and places the co-occurring terms in a correlated-pair list based on the correlation.

公开(公告)号：US20140149415A1

公开(公告)日：2014-05-29

申请号：US14169879

申请日：2014-01-31

Applicant: Google Inc.

Inventor： Paul Haahr ,  Steven D. Baker

IPC: G06F17/30

CPC classification number: G06F17/30389 ,  G06F17/30598 ,  G06F17/30648 ,  G06F17/3071 ,  G06F17/30864 ,  Y10S707/99933 ,  Y10S707/99935 ,  Y10S707/99945

Abstract: A system and method for providing search query refinements are presented. A stored query and a stored document are associated as a logical pairing. A weight is assigned to the logical pairing. The search query is issued and a set of search documents is produced. At least one search document is matched to at least one stored document. The stored query and the assigned weight associated with the matching at least one stored document are retrieved. At least one cluster is formed based on the stored query and the assigned weight associated with the matching at least one stored document. The stored query associated with the matching at least one stored document are scored for the at least one cluster relative to at least one other cluster. At least one such scored search query is suggested as a set of query refinements.

Abstract translation: 提出了一种提供搜索查询优化的系统和方法。 存储的查询和存储的文档被关联为逻辑配对。 权重被分配给逻辑配对。 发出搜索查询，并生成一组搜索文档。 至少一个搜索文档与至少一个存储的文档匹配。 检索存储的查询和与匹配的至少一个存储的文档相关联的分配的权重。 基于存储的查询和与匹配至少一个存储的文档相关联的分配的权重，形成至少一个群集。 与至少一个存储的文档匹配的存储查询相对于至少一个其他集群对于至少一个集群进行评分。 建议至少一个这样的计分搜索查询作为一组查询优化。

公开(公告)号：US09552388B2

公开(公告)日：2017-01-24

申请号：US14169879

申请日：2014-01-31

Applicant: Google Inc.

Inventor： Paul Haahr ,  Steven D. Baker

IPC: G06F17/30

CPC classification number: G06F17/30389 ,  G06F17/30598 ,  G06F17/30648 ,  G06F17/3071 ,  G06F17/30864 ,  Y10S707/99933 ,  Y10S707/99935 ,  Y10S707/99945

Abstract: A system and method for providing search query refinements are presented. A stored query and a stored document are associated as a logical pairing. A weight is assigned to the logical pairing. The search query is issued and a set of search documents is produced. At least one search document is matched to at least one stored document. The stored query and the assigned weight associated with the matching at least one stored document are retrieved. At least one cluster is formed based on the stored query and the assigned weight associated with the matching at least one stored document. The stored query associated with the matching at least one stored document are scored for the at least one cluster relative to at least one other cluster. At least one such scored search query is suggested as a set of query refinements.

Abstract translation: 提出了一种提供搜索查询优化的系统和方法。 存储的查询和存储的文档被关联为逻辑配对。 权重被分配给逻辑配对。 发出搜索查询，并生成一组搜索文档。 至少一个搜索文档与至少一个存储的文档匹配。 检索存储的查询和与匹配的至少一个存储的文档相关联的分配的权重。 基于存储的查询和与匹配至少一个存储的文档相关联的分配的权重，形成至少一个群集。 与至少一个存储的文档匹配的存储查询相对于至少一个其他集群对于至少一个集群进行评分。 建议至少一个这样的计分搜索查询作为一组查询优化。

公开(公告)号：US08762370B1

公开(公告)日：2014-06-24

申请号：US13763471

申请日：2013-02-08

Applicant: Google Inc.

Inventor： Oleksandr Grushetskyy ,  Steven D. Baker

IPC: G06F17/30 ,  G06F17/27

CPC classification number: G06F17/30867 ,  G06F17/2795

Abstract: One embodiment of the present invention provides a system that automatically generates synonyms for words from documents. During operation, this system determines co-occurrence frequencies for pairs of words in the documents. The system also determines closeness scores for pairs of words in the documents, wherein a closeness score indicates whether a pair of words are located so close to each other that the words are likely to occur in the same sentence or phrase. Finally, the system determines whether pairs of words are synonyms based on the determined co-occurrence frequencies and the determined closeness scores. While making this determination, the system can additionally consider correlations between words in a title or an anchor of a document and words in the document as well as word-form scores for pairs of words in the documents.

Abstract translation: 本发明的一个实施例提供了一种自动生成来自文档的单词的同义词的系统。 在操作期间，该系统确定文档中的单词对的同现频率。 该系统还确定文档中的单词对的接近度分数，其中一个接近度分数指示一对单词是否彼此靠近，以致该单词可能以相同的句子或短语发生。 最后，系统基于所确定的同现频率和所确定的接近度分数来确定词组是否是同义词。 在进行该确定的同时，系统还可以考虑文档中的标题或锚点之间的相关性以及文档中的单词以及文档中的单词对的单词分数。