公开(公告)号：US09619554B2

公开(公告)日：2017-04-11

申请号：US13288593

申请日：2011-11-03

申请人： Xin Liu ,  Nitin Agrawal ,  James Francis Gilsinan, IV ,  James B. Lawson ,  Brian Whalen MacDonald ,  Mairéad Áine O'Donovan ,  Kimberly M. Vlcek ,  Nipoon Malhotra

发明人： Xin Liu ,  Nitin Agrawal ,  James Francis Gilsinan, IV ,  James B. Lawson ,  Brian Whalen MacDonald ,  Mairéad Áine O'Donovan ,  Kimberly M. Vlcek ,  Nipoon Malhotra

IPC分类号： G06F17/00 ,  G06F17/30

CPC分类号： G06F17/3064

摘要： Systems, methods, and computer-readable storage media for providing query-completion suggestions configured to be searched against vertical information domains in response to receiving a general web search query are provided. At least a portion of a general web search query is received. As the portion of the general web search query is received, query-completion suggestions are determined as is a likely primary intent associated with at least a portion of the determined query-completion suggestions. If the likely primary intent associated with a particular query-completion suggestion is for information associated with a particular vertical information domain other than the general web domain, the query-completion suggestion is provided such that selection thereof causes searching of the query-completion suggestion against the particular information domain for search results.

公开(公告)号：US08543592B2

公开(公告)日：2013-09-24

申请号：US12696938

申请日：2010-01-29

申请人： Nitin Agrawal ,  Tabreez Govani ,  Jamie P. Buckley ,  Michael Maxwell Cameron ,  Liwei Chen ,  Hugh Evan Williams ,  Sanaz Ahari ,  Yang Yang Zhang ,  Srinath Reddy Aaleti

发明人： Nitin Agrawal ,  Tabreez Govani ,  Jamie P. Buckley ,  Michael Maxwell Cameron ,  Liwei Chen ,  Hugh Evan Williams ,  Sanaz Ahari ,  Yang Yang Zhang ,  Srinath Reddy Aaleti

IPC分类号： G06F17/30

CPC分类号： G06F17/30864 ,  G06F17/30876 ,  G06F17/30887

摘要： Methods, computer-storage media, and graphical user interfaces are provided for identifying and presenting rich related sites for task-oriented search queries. Upon receipt of a search query input by a user, one or more query logs are analyzed to determine if the search query is a related to a task being performed by the user. If the query is determined to be a task-oriented search query, search results are identified, as is one or more Uniform Resource Locators (URLs) related to a particular search result. The related URL is presented to the user in association with the particular search result. Additional controls, e.g., search tools that facilitate querying of those URLs determined to be relevant to a particular search result, may also be provided to aid the user in performing the task at hand.

摘要翻译： 提供了方法，计算机存储介质和图形用户界面，用于识别和呈现用于面向任务的搜索查询的富相关站点。 在接收到用户输入的搜索查询后，分析一个或多个查询日志以确定搜索查询是否与由用户正在执行的任务相关。 如果查询被确定为面向任务的搜索查询，则识别搜索结果，以及与特定搜索结果相关的一个或多个统一资源定位符（URL）。 将相关的URL与特定的搜索结果相关联地呈现给用户。 还可以提供额外的控件，例如便于查询确定为与特定搜索结果相关的那些URL的搜索工具，以帮助用户执行手头的任务。

公开(公告)号：US08370337B2

公开(公告)日：2013-02-05

申请号：US12762929

申请日：2010-04-19

申请人： Tapas Kanungo ,  Kumaresh Pattabiraman ,  Nitin Agrawal ,  Kieran Richard McDonald ,  Christopher Avery Meyers ,  Nipoon Malhotra

发明人： Tapas Kanungo ,  Kumaresh Pattabiraman ,  Nitin Agrawal ,  Kieran Richard McDonald ,  Christopher Avery Meyers ,  Nipoon Malhotra

IPC分类号： G06F7/00 ,  G06F17/30

CPC分类号： G06N99/005 ,  G06F17/30882

摘要： Methods and computer-storage media having computer-executable instructions embodied thereon that facilitate generating a machine-learned model for ranking search results using click-based data are provided. Data is referenced from user queries, which may include search results generated by general search engines and vertical search engines. A training set is generated from the search results and click-based judgments are associated with the search results in the training set. Based on click-based judgments, identifiable features are determined from the search results in a training set. Based on determining identifiable features in a training set, a rule set is generated for ranking subsequent search results.

摘要翻译： 提供了具有其上包含计算机可执行指令的方法和计算机存储介质，其利用基于点击的数据便于生成用于对搜索结果进行排名的机器学习模型。 数据来自用户查询，可能包括由一般搜索引擎和垂直搜索引擎生成的搜索结果。 从搜索结果生成训练集，并且基于点击的判断与训练集中的搜索结果相关联。 基于点击判断，可以从训练集中的搜索结果确定可识别的特征。 基于确定训练集中的可识别特征，生成用于对后续搜索结果进行排序的规则集。

公开(公告)号：US08250053B2

公开(公告)日：2012-08-21

申请号：US12392015

申请日：2009-02-24

申请人： Nicholas Eric Craswell ,  Nitin Agrawal ,  Amir J. Padovitz ,  Song Zhou

发明人： Nicholas Eric Craswell ,  Nitin Agrawal ,  Amir J. Padovitz ,  Song Zhou

IPC分类号： G06F7/00 ,  G06F17/30

CPC分类号： G06F17/30905

摘要： A method, system, and medium are provided for enhancing a search result snippet that is associated with a URL. Potentially descriptive terms of the URL are identified by reconciling multiple sources of terms related to the URL. One aspect includes comparing search terms of historically relevant queries to anchor text for the URL. The search result snippet might be intelligently enhanced by causing common terms to be visibly distinguished when the snippet is displayed.

摘要翻译： 提供了一种方法，系统和介质，用于增强与URL相关联的搜索结果片段。 通过协调与URL相关的多个术语来源来识别URL的潜在描述性术语。 一个方面包括将历史相关查询的搜索条件与URL的锚文本进行比较。 搜索结果代码段可能会通过在显示代码段时明显区分通用术语来智能地增强。

公开(公告)号：US08239399B2

公开(公告)日：2012-08-07

申请号：US12465792

申请日：2009-05-14

申请人： Tabreez Govani ,  Jamie Buckley ,  Natalia Burina ,  Hemant Banavar ,  Hugh Williams ,  Nitin Agrawal

发明人： Tabreez Govani ,  Jamie Buckley ,  Natalia Burina ,  Hemant Banavar ,  Hugh Williams ,  Nitin Agrawal

IPC分类号： G06F17/00

CPC分类号： G06F17/30991 ,  G06F17/30864 ,  G06Q30/0256

摘要： Methods and computer-readable media are provided for displaying a target search result and relevant information on a search results page in response to a user-inputted query on a search page. The target search result and relevant information are identified in a database as having been previously determined to be most relevant to the query, and may be based on past user behavior, for example. The relevant information may include functional tools that include input boxes allowing for the user to interact with a webpage associated with the target search result via the search results page. Once the target search result and relevant information have been determined, the search results page is displayed.

摘要翻译： 提供方法和计算机可读介质，用于响应于在搜索页面上的用户输入的查询，在搜索结果页面上显示目标搜索结果和相关信息。 目标搜索结果和相关信息在数据库中被识别为先前被确定为与查询最相关，并且可以基于例如过去的用户行为。 相关信息可以包括功能工具，其包括允许用户通过搜索结果页与与目标搜索结果相关联的网页交互的输入框。 一旦确定了目标搜索结果和相关信息，就会显示搜索结果页面。

公开(公告)号：US08650173B2

公开(公告)日：2014-02-11

申请号：US12821134

申请日：2010-06-23

申请人： Kieran Richard McDonald ,  Ran Gilad-Bachrach ,  Nipoon Malhotra ,  Nitin Agrawal ,  Sanaz Ahari

发明人： Kieran Richard McDonald ,  Ran Gilad-Bachrach ,  Nipoon Malhotra ,  Nitin Agrawal ,  Sanaz Ahari

IPC分类号： G06F7/00

CPC分类号： G06F17/3089

摘要： Technologies are described herein for placing search results on a search engine results page (SERP). A query may be received. The query may be transmitted to a plurality of search result providers. A first set of search results and a second set of search results may be received from the search result providers. Intent features may be extracted from the first set of search results. User intent of the second set of search results may be inferred based on the extracted intent features. The first set of search results and the second set of search results may be ranked based on the inferred user intent. The SERP may be rendered according to the ranked first set and second set of search results.

摘要翻译： 这里描述了将搜索结果放置在搜索引擎结果页（SERP）上的技术。 可能会收到查询。 查询可以被发送到多个搜索结果提供者。 可以从搜索结果提供者接收第一组搜索结果和第二组搜索结果。 可以从第一组搜索结果中提取意图特征。 可以基于提取的意图特征来推断第二组搜索结果的用户意图。 第一组搜索结果和第二组搜索结果可以基于推断的用户意图进行排名。 可以根据排名的第一组和第二组搜索结果呈现SERP。

公开(公告)号：US20130086509A1

公开(公告)日：2013-04-04

申请号：US13248261

申请日：2011-09-29

申请人： ASHWIN SATYANARAYANA ,  TABREEZ GOVANI ,  SAMIR SHIRAZ PRADHAN ,  GIRIDHAR KUMARAN ,  XIN FU ,  FENG PAN ,  NITIN AGRAWAL

发明人： ASHWIN SATYANARAYANA ,  TABREEZ GOVANI ,  SAMIR SHIRAZ PRADHAN ,  GIRIDHAR KUMARAN ,  XIN FU ,  FENG PAN ,  NITIN AGRAWAL

IPC分类号： G06F17/30 ,  G06F3/048

CPC分类号： G06F16/3322

摘要： Computer-readable media, computer systems, and computing devices method of facilitating presentation of alternative query suggestions. The method includes referencing an initial query having a plurality of terms. A term(s) to remove from the initial query is identified, for example, based at least on a number of times the term(s) occur in previous queries. The initial query is modified by removing the term(s) from the initial query. Thereafter, the modified query is used to identify an alternative query suggestion(s) that includes at least one term that matches at least one term of the modified query.

摘要翻译： 计算机可读介质，计算机系统和计算设备方便的替代查询建议的呈现。 该方法包括引用具有多个项的初始查询。 识别从初始查询中移除的术语，例如至少基于先前查询中出现的术语的次数。 通过从初始查询中删除术语来修改初始查询。 此后，修改的查询用于标识包括与修改的查询的至少一个项匹配的至少一个项的替代查询建议。

公开(公告)号：US08150841B2

公开(公告)日：2012-04-03

申请号：US12690184

申请日：2010-01-20

申请人： Christopher Avery Meyers ,  Gopi Prashanth Gopal ,  Andrew Peter Oakley ,  Nitin Agrawal ,  Nicholas Eric Craswell ,  Milad Shokouhi ,  Derrick Leslie Connell ,  Sanaz Ahari ,  Neil Bruce Sharman ,  Gaurav Sareen ,  Hugh Evan Williams ,  Jay Kumar Goyal

发明人： Christopher Avery Meyers ,  Gopi Prashanth Gopal ,  Andrew Peter Oakley ,  Nitin Agrawal ,  Nicholas Eric Craswell ,  Milad Shokouhi ,  Derrick Leslie Connell ,  Sanaz Ahari ,  Neil Bruce Sharman ,  Gaurav Sareen ,  Hugh Evan Williams ,  Jay Kumar Goyal

IPC分类号： G06F7/00 ,  G06F17/30

CPC分类号： G06F17/30448 ,  G06Q30/0254

摘要： Methods, systems, and media are provided for identifying and clustering queries that are rising in popularity. Resultant clustered queries can be compared to other stored queries using textual and temporal correlations. Fresh indices containing information and results from recently crawled content sources are searched to obtain the most recent query activity. Historical indices are also searched to obtain temporally correlated information and results that match the clustered query stream. A weighted average acceleration of a spike can be calculated to distinguish between a legitimate spike and a non-legitimate spike. Legitimate clusters are combined with other stored clusters and presented as grouped content results to a user output device.

摘要翻译： 提供了方法，系统和媒体，用于识别和聚集正在日益普及的查询。 可以使用文本和时间相关性将所产生的聚类查询与其他存储的查询进行比较。 搜索包含最近爬取的内容源的信息和结果的新索引以获取最近的查询活动。 还搜索历史索引以获得与聚集查询流匹配的时间相关信息和结果。 可以计算穗的加权平均加速度，以区分合法穗和非合法穗。 合法集群与其他存储的集群组合，并以分组的内容结果呈现给用户输出设备。

公开(公告)号：US20110320440A1

公开(公告)日：2011-12-29

申请号：US12821134

申请日：2010-06-23

申请人： Kieran Richard McDonald ,  Ran Gilad-Bachrach ,  Nipoon Malhotra ,  Nitin Agrawal ,  Sanaz Ahari

发明人： Kieran Richard McDonald ,  Ran Gilad-Bachrach ,  Nipoon Malhotra ,  Nitin Agrawal ,  Sanaz Ahari

IPC分类号： G06F17/30

CPC分类号： G06F17/3089

摘要： Technologies are described herein for placing search results on a search engine results page (SERP). A query may be received. The query may be transmitted to a plurality of search result providers. A first set of search results and a second set of search results may be received from the search result providers. Intent features may be extracted from the first set of search results. User intent of the second set of search results may be inferred based on the extracted intent features. The first set of search results and the second set of search results may be ranked based on the inferred user intent. The SERP may be rendered according to the ranked first set and second set of search results.

摘要翻译： 这里描述了将搜索结果放置在搜索引擎结果页（SERP）上的技术。 可能会收到查询。 查询可以被发送到多个搜索结果提供者。 可以从搜索结果提供者接收第一组搜索结果和第二组搜索结果。 可以从第一组搜索结果中提取意图特征。 可以基于提取的意图特征来推断第二组搜索结果的用户意图。 第一组搜索结果和第二组搜索结果可以基于推断的用户意图进行排名。 可以根据排名的第一组和第二组搜索结果呈现SERP。

公开(公告)号：US08082278B2

公开(公告)日：2011-12-20

申请号：US12138970

申请日：2008-06-13

申请人： Nitin Agrawal ,  Krishna Gade

发明人： Nitin Agrawal ,  Krishna Gade

IPC分类号： G06F17/30

CPC分类号： G06F17/30731 ,  G06F17/3064

摘要： A method for suggesting related queries to a user query using semantic relationships that are present in informational content stored in public domains. Semantic relationships between named entities are discovered and the named entities are extracted. The entities are indexed according to the relationships. When a user query is received that includes one of the entities, query suggestions are returned to the user based on indexed relationships corresponding to the entity named in the user query.

摘要翻译： 使用存在于公共领域中的信息内容中存在的语义关系向用户查询建议相关查询的方法。 发现命名实体之间的语义关系，并提取命名实体。 实体根据关系进行索引。 当接收到包含其中一个实体的用户查询时，将根据与用户查询中指定的实体对应的索引关系向用户返回查询建议。