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公开(公告)号:US20080177717A1
公开(公告)日:2008-07-24
申请号:US11625076
申请日:2007-01-19
Applicant: Girish Kumar , Bhuvan Middha , Gaurav Sareen , Janine Crumb , Jason Douglas , Silviu Petru Cucerzan
Inventor: Girish Kumar , Bhuvan Middha , Gaurav Sareen , Janine Crumb , Jason Douglas , Silviu Petru Cucerzan
IPC: G06F7/00
CPC classification number: G06F17/3064 , Y10S707/99933
Abstract: Computerized methods and systems for generating a suggested query list with suggested search terms displayed as highlighted text utilizing a user-defined query are provided. Query search terms are received by a user-interface display. Upon inputting query search terms, the user-interface automatically generates a suggested query list. The suggested query list is associated with the query search term and the suggested query list is comprised of at least one suggested search term. A query suggestion architecture determines if the query search term and the suggested search term are a match, and if so, highlights the suggested search term that is not a match. The user interface displays the highlighted terms to assist in refining a search. The present invention further provides a stemming algorithm that extracts the root form of the query search term.
Abstract translation: 提供了用于生成建议的查询列表的计算机化方法和系统,其中建议的搜索项使用用户定义的查询显示为突出显示的文本。 查询搜索项由用户界面显示接收。 输入查询搜索项后,用户界面自动生成建议的查询列表。 建议的查询列表与查询搜索项相关联,并且建议的查询列表由至少一个建议的搜索项组成。 查询建议体系结构确定查询搜索词和建议的搜索词是否匹配,如果是,则突出显示不符合的建议搜索词。 用户界面显示突出显示的术语,以帮助改进搜索。 本发明还提供一种提取查询搜索项的根形式的词干化算法。
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公开(公告)号:US08965907B2
公开(公告)日:2015-02-24
申请号:US12819493
申请日:2010-06-21
Applicant: Vijay Mital , Brian C. Beckman , Jason A. Wolf , Janine Crumb , Darryl Ellis Rubin , Olivier Colle
Inventor: Vijay Mital , Brian C. Beckman , Jason A. Wolf , Janine Crumb , Darryl Ellis Rubin , Olivier Colle
CPC classification number: G06F17/30592 , G06F17/30489 , G06F17/30572
Abstract: Interactive and dynamic exploring of filter criteria for large amounts of numerical data having multiple dimensions is described. Exploration occurs without excessive amounts of computation or querying of a database based on a data set summary that may be obtained from a server in a search system and applied by a client device. A data set is summarized so as to capture relationships between distributions of items in the data set along multiple dimensions. To explore filter criteria, a user may interactively adjust a range of values that act as a filter criteria along a dimension and determine an effect on a distribution of items along another dimension. The client device may apply the data summary in reverse to determine, based on user input specifying aspects of a distribution along one dimension, filter criteria for another dimension that would result in the specified distribution.
Abstract translation: 描述了具有多个维度的大量数值数据的过滤器标准的交互和动态探索。 基于可以从搜索系统中的服务器获得并由客户端设备应用的数据集摘要,发现没有过多的计算或查询数据库的探索。 总结数据集,以便捕获沿着多维的数据集中的项目的分布之间的关系。 为了探索过滤标准,用户可以交互地调整一系列值,这些值作为沿尺寸的过滤标准,并确定对另一维的物品分布的影响。 客户端设备可以相反地应用数据摘要,以基于指定沿着一个维度的分布的方面的用户输入来确定导致指定分布的另一个维度的过滤标准。
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公开(公告)号:US08732171B2
公开(公告)日:2014-05-20
申请号:US12695758
申请日:2010-01-28
Applicant: Stelios Paparizos , Chris Anderson , Janine Crumb , James Gemmell , Ajay Nair , Gennadii Tertychnyi , An Yan
Inventor: Stelios Paparizos , Chris Anderson , Janine Crumb , James Gemmell , Ajay Nair , Gennadii Tertychnyi , An Yan
IPC: G06F17/30
CPC classification number: G06F17/30864 , G06F17/3064
Abstract: Methods and computer-readable media are provided for determining suggested queries. A user enters a search website, and the user is identified based on a user identification. Suggested queries are determined based on a group associated with the user. This association is created by extracting queries from data logs, categorizing the queries into groups based on their respective subject matter, associating the user with one or more groups, and determining suggested queries for each group. The suggested queries are communicated for display.
Abstract translation: 提供了方法和计算机可读介质来确定建议的查询。 用户输入搜索网站,并且基于用户标识识别用户。 建议的查询是基于与用户相关联的组确定的。 该关联是通过从数据记录中提取查询来创建的,根据各自的主题将查询分组成组,将用户与一个或多个组相关联,并确定每个组的建议查询。 传达建议的查询以供显示。
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公开(公告)号:US20110314400A1
公开(公告)日:2011-12-22
申请号:US12819493
申请日:2010-06-21
Applicant: Vijay Mital , Brian C. Beckman , Jason A. Wolf , Janine Crumb , Darryl Ellis Rubin , Olivier Colle
Inventor: Vijay Mital , Brian C. Beckman , Jason A. Wolf , Janine Crumb , Darryl Ellis Rubin , Olivier Colle
CPC classification number: G06F17/30592 , G06F17/30489 , G06F17/30572
Abstract: Interactive and dynamic exploring of filter criteria for large amounts of numerical data having multiple dimensions is described. Exploration occurs without excessive amounts of computation or querying of a database based on a data set summary that may be obtained from a server in a search system and applied by a client device. A data set is summarized so as to capture relationships between distributions of items in the data set along multiple dimensions. To explore filter criteria, a user may interactively adjust a range of values that act as a filter criteria along a dimension and determine an effect on a distribution of items along another dimension. The client device may apply the data summary in reverse to determine, based on user input specifying aspects of a distribution along one dimension, filter criteria for another dimension that would result in the specified distribution.
Abstract translation: 描述了具有多个维度的大量数值数据的过滤器标准的交互和动态探索。 基于可以从搜索系统中的服务器获得并由客户端设备应用的数据集摘要,发现没有过多的计算或查询数据库的探索。 总结数据集,以便捕获沿着多维的数据集中的项目的分布之间的关系。 为了探索过滤标准,用户可以交互地调整一系列值,这些值作为沿尺寸的过滤标准,并确定对另一维的物品分布的影响。 客户端设备可以相反地应用数据摘要,以基于指定沿着一个维度的分布的方面的用户输入来确定导致指定分布的另一个维度的过滤标准。
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公开(公告)号:US20060004748A1
公开(公告)日:2006-01-05
申请号:US10850623
申请日:2004-05-21
Applicant: Bama Ramarathnam , Eric Watson , Janine Crumb
Inventor: Bama Ramarathnam , Eric Watson , Janine Crumb
IPC: G06F17/30
CPC classification number: G06F17/30867 , Y10S707/913 , Y10S707/959 , Y10S707/99935 , Y10S707/99936
Abstract: Evaluating an electronic document in connection with a search. An external source provides data for use in evaluating an electronic document retrieved by a search engine. A first confidence level of the electronic document is determined based on the externally provided data. The first confidence level indicates a likelihood that the electronic document is undesirable. A second confidence level of the electronic document is determined based on attributes of the electronic document. The second confidence level indicates a likelihood that the electronic document is unsatisfactory with respect to a search. A rating for the electronic document generated as a function of the determined first confidence level and the determined second confidence level is used to categorize the electronic document as unsatisfactory in connection with a received search request.
Abstract translation: 评估与搜索有关的电子文档。 外部来源提供用于评估由搜索引擎检索的电子文档的数据。 基于外部提供的数据确定电子文档的第一置信度。 第一个置信度表示电子文档是不可取的可能性。 基于电子文档的属性确定电子文档的第二置信水平。 第二个置信水平表示电子文档对于搜索不能令人满意的可能性。 根据确定的第一置信度和所确定的第二置信水平生成的电子文档的评级用于将电子文档与接收到的搜索请求相关联地不理想。
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公开(公告)号:US09740778B2
公开(公告)日:2017-08-22
申请号:US11548152
申请日:2006-10-10
Applicant: Janine Crumb , Krishna C. Gade , Rangan Majumder , Vishnu Challam
Inventor: Janine Crumb , Krishna C. Gade , Rangan Majumder , Vishnu Challam
IPC: G06F17/30
CPC classification number: G06F17/30864
Abstract: Ranking domains for search engines is provided herein. To rank a domain, contributing domains associated with the domain are identified. Additionally, the maturity of each of the contributing domains is determined. A rank for the domain is then determined based at least in part on the maturity of each of the contributing domains. The domain rankings may then be used to order results for search queries.
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公开(公告)号:US20080086467A1
公开(公告)日:2008-04-10
申请号:US11548152
申请日:2006-10-10
Applicant: Janine Crumb , Krishna C. Gade , Rangan Majumder , Vishnu Challam
Inventor: Janine Crumb , Krishna C. Gade , Rangan Majumder , Vishnu Challam
IPC: G06F17/30
CPC classification number: G06F17/30864
Abstract: Ranking domains for search engines is provided herein. To rank a domain, contributing domains associated with the domain are identified. Additionally, the maturity of each of the contributing domains is determined. A rank for the domain is then determined based at least in part on the maturity of each of the contributing domains. The domain rankings may then be used to order results for search queries.
Abstract translation: 本文提供了搜索引擎的排名域名。 为了对域进行排名,确定与域相关联的贡献域。 此外,确定每个贡献域的成熟度。 至少部分地基于每个贡献域的成熟度确定域的排名。 然后可以使用域排名来搜索查询的结果。
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公开(公告)号:US20110184951A1
公开(公告)日:2011-07-28
申请号:US12695758
申请日:2010-01-28
Applicant: STELIOS PAPARIZOS , CHRIS ANDERSON , JANINE CRUMB , David James GEMMELL , AJAY NAIR , GENNADII TERTYCHNYI , AN YAN
Inventor: STELIOS PAPARIZOS , CHRIS ANDERSON , JANINE CRUMB , David James GEMMELL , AJAY NAIR , GENNADII TERTYCHNYI , AN YAN
IPC: G06F17/30
CPC classification number: G06F17/30864 , G06F17/3064
Abstract: Methods and computer-readable media are provided for determining suggested queries. A user enters a search website, and the user is identified based on a user identification. Suggested queries are determined based on a group associated with the user. This association is created by extracting queries from data logs, categorizing the queries into groups based on their respective subject matter, associating the user with one or more groups, and determining suggested queries for each group. The suggested queries are communicated for display.
Abstract translation: 提供了方法和计算机可读介质来确定建议的查询。 用户输入搜索网站,并且基于用户标识识别用户。 建议的查询是基于与用户相关联的组确定的。 该关联是通过从数据记录中提取查询来创建的,根据各自的主题将查询分组成组,将用户与一个或多个组相关联,并确定每个组的建议查询。 传达建议的查询以供显示。
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公开(公告)号:US07680778B2
公开(公告)日:2010-03-16
申请号:US11625076
申请日:2007-01-19
Applicant: Bhuvan Middha , Girish Kumar , Gaurav Sareen , Janine Crumb , Jason Douglas , Silviu Petru Cucerzan
Inventor: Bhuvan Middha , Girish Kumar , Gaurav Sareen , Janine Crumb , Jason Douglas , Silviu Petru Cucerzan
IPC: G06F7/00
CPC classification number: G06F17/3064 , Y10S707/99933
Abstract: Computerized methods and systems for generating a suggested query list with suggested search terms displayed as highlighted text utilizing a user-defined query are provided. Query search terms are received by a user-interface display. Upon inputting query search terms, the user-interface automatically generates a suggested query list. The suggested query list is associated with the query search term and the suggested query list is comprised of at least one suggested search term. A query suggestion architecture determines if the query search term and the suggested search term are a match, and if so, highlights the suggested search term that is not a match. The user interface displays the highlighted terms to assist in refining a search. The present invention further provides a stemming algorithm that extracts the root form of the query search term.
Abstract translation: 提供了用于生成建议的查询列表的计算机化方法和系统,其中建议的搜索项使用用户定义的查询显示为突出显示的文本。 查询搜索项由用户界面显示接收。 输入查询搜索项后,用户界面自动生成建议的查询列表。 建议的查询列表与查询搜索项相关联,并且建议的查询列表由至少一个建议的搜索项组成。 查询建议体系结构确定查询搜索词和建议的搜索词是否匹配,如果是,则突出显示不符合的建议搜索词。 用户界面显示突出显示的术语,以帮助改进搜索。 本发明还提供一种提取查询搜索项的根形式的词干化算法。
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