公开(公告)号：US09043320B2

公开(公告)日：2015-05-26

申请号：US12710008

申请日：2010-02-22

Applicant: Rohan Monga ,  Sudharsan Vasudevan ,  Hemanth Sambrani

Inventor： Rohan Monga ,  Sudharsan Vasudevan ,  Hemanth Sambrani

IPC: G06F17/30

CPC classification number: G06F17/30722 ,  G06F17/30864 ,  G06F17/30997

Abstract: A system and method for an enhanced find-in-page query function in a web browser. A find-in-page query is received for at least one webpage displayed on a computing device, wherein the query comprises a search string. Metadata relating to data objects displayed on the webpage is collected from the HTML code comprising the webpage, from the source of the of the plurality of objects, and from at least one search engine. At least one of the plurality of data objects matching the find-in-page query is identified wherein the search string is matched to metadata, wherein metadata relating to the matching data objects comprises the search string. The display of the matching data objects on the webpage is then altered, using the computing device, whereby the user is able to identify the data objects which match the find-in-page query.

Abstract translation: 一种用于网页浏览器中增强的在页查询功能的系统和方法。 对于在计算设备上显示的至少一个网页，接收到查找页内查询，其中查询包括搜索字符串。 与网页上显示的数据对象相关的元数据从包含网页的HTML代码，从多个对象的来源以及至少一个搜索引擎收集。 识别与查找页查询匹配的多个数据对象中的至少一个，其中搜索字符串与元数据匹配，其中与匹配数据对象相关的元数据包括搜索字符串。 然后使用计算设备改变网页上的匹配数据对象的显示，由此用户能够识别与查找页查询匹配的数据对象。

公开(公告)号：US08612435B2

公开(公告)日：2013-12-17

申请号：US12504527

申请日：2009-07-16

Applicant: Hemanth Sambrani ,  Rohan Monga ,  Sudharsan Vasudevan ,  Sanjeev Gupta

Inventor： Hemanth Sambrani ,  Rohan Monga ,  Sudharsan Vasudevan ,  Sanjeev Gupta

IPC: G06F7/06

CPC classification number: G06F17/30702 ,  G06F17/30867 ,  G06Q30/02

Abstract: A method and apparatus for activity-based users' interests modeling for determining relevance of the content distributed to the users is provided. Modeling of the user's interests starts by collecting information about the actions that the user performed and about the contents that were associated with the actions. That information may be used to determine how much interest the user has had in the individual subjects up to date, and to determine which subjects became more or less important to the user over time. Further processing of the information about the interests of each of the individual users in a group of users may produce characteristics indicating the interests of the group as a whole. Additional processing may generate the information reflecting relative importance of the interests of an individual user in the group to the interests of other users in the same group.

Abstract translation: 提供了一种用于基于活动的用户兴趣建模的方法和装置，用于确定分发给用户的内容的相关性。 对用户兴趣的建模首先是收集有关用户执行的操作的信息以及与操作相关联的内容。 该信息可以用于确定用户在最新的个体主题中具有多少兴趣，并且确定哪些对象随着时间对用户变得越来越重要。 关于用户组中每个用户的兴趣的信息的进一步处理可以产生表示整个组的兴趣的特征。 附加处理可以产生反映组中个别用户的兴趣的相对重要性的信息，以使同一组中的其他用户的兴趣。

公开(公告)号：US20110252045A1

公开(公告)日：2011-10-13

申请号：US12755652

申请日：2010-04-07

Applicant: Priyank Shanker Garg ,  Rohan Monga ,  Hemanth Sambrani ,  Sudharsan Vasudevan

Inventor： Priyank Shanker Garg ,  Rohan Monga ,  Hemanth Sambrani ,  Sudharsan Vasudevan

IPC: G06F17/30 ,  G06F15/18

CPC classification number: G06F17/30864 ,  G06F17/30705

Abstract: Disclosed is a method and system for retrieving data; extracting information from the data; learning to disambiguate the extracted information such that a particular sense of each phrase within the extracted information is determined; generating a disambiguation classifier from the learning to disambiguate step, the disambiguation classifier configured to determine a sense of a phrase within a document; learning to select a portion of the information as being relevant to a theme of the data; generating a selection classifier from the learning to select step, the selection classifier configured to select a topic in a document that is relevant to a theme of the document; and using the disambiguation classifier and the selection classifier by an indexing computer to determine a set of topics from a web document retrieved by the indexing computer.

Abstract translation: 公开了一种用于检索数据的方法和系统; 从数据中提取信息; 学习消除所提取的信息，使得确定提取的信息内的每个短语的特定感觉; 从消除歧义的步骤中产生消歧分类器，消歧分类器被配置为确定文档内的短语感; 学习选择一部分信息与数据的主题相关; 从所述学习选择步骤生成选择分类器，所述选择分类器被配置为选择文档中与所述文档的主题相关的主题; 以及由索引计算机使用消歧分类器和选择分类器来从由索引计算机检索的web文档中确定一组主题。

公开(公告)号：US20110225134A1

公开(公告)日：2011-09-15

申请号：US12723093

申请日：2010-03-12

Applicant: Rohan Monga ,  Sudharsan Vasudevan ,  Hemanth Sambrani

Inventor： Rohan Monga ,  Sudharsan Vasudevan ,  Hemanth Sambrani

IPC: G06F17/30

CPC classification number: G06F16/9038

Abstract: A system and method for an enhanced find-in-page query function in a web browser. A find-in-page query is received for at least one webpage displayed on a computing device, wherein the query comprises a search string. Metadata relating to data objects displayed on the webpage is collected from the HTML code comprising the webpage, from the source of the of the plurality of objects, and from at least one search engine. At least one of the plurality of data objects matching the find-in-page query is identified wherein the search string is matched to metadata, wherein metadata relating to the matching data objects comprises the search string. The display of the matching data objects on the webpage is then altered, using the computing device, whereby the user is able to identify the data objects which match the find-in-page query.

Abstract translation: 一种用于网页浏览器中增强的在页查询功能的系统和方法。 对于在计算设备上显示的至少一个网页，接收到查找页内查询，其中查询包括搜索字符串。 与网页上显示的数据对象相关的元数据从包含网页的HTML代码，从多个对象的来源以及至少一个搜索引擎收集。 识别与查找页查询匹配的多个数据对象中的至少一个，其中搜索字符串与元数据匹配，其中与匹配数据对象相关的元数据包括搜索字符串。 然后使用计算设备改变网页上的匹配数据对象的显示，由此用户能够识别与查找页查询匹配的数据对象。

公开(公告)号：US20100299397A1

公开(公告)日：2010-11-25

申请号：US12471351

申请日：2009-05-23

Applicant: Hemanth SAMBRANI ,  Sudharsan VASUDEVAN ,  Rohan MONGA

Inventor： Hemanth SAMBRANI ,  Sudharsan VASUDEVAN ,  Rohan MONGA

IPC: G06F15/82 ,  G06F15/16

CPC classification number: G06Q10/107

Abstract: Managing electronic addresses based on communication patterns. A method includes tracking metadata of a plurality of electronic communications of a user. One or more lists of electronic addresses of recipients are generated for the user based on the metadata. Electronic addresses of potential recipients are identified from the one or more lists in response to an input indicative of selection of an electronic address of a recipient. The identified electronic addresses are recommended to the user. An input indicative of one or more electronic addresses selected by the user from the identified electronic addresses is received. Further, an electronic message is sent to the selected electronic addresses.

Abstract translation: 根据通信模式管理电子地址。 一种方法包括跟踪用户的多个电子通信的元数据。 基于元数据为用户生成一个或多个收件人的电子地址列表。 响应于指示对接收者的电子地址的选择的输入，从一个或多个列表中识别潜在接收者的电子地址。 识别的电子地址被推荐给用户。 接收指示由用户从识别的电子地址中选择的一个或多个电子地址的输入。 此外，电子消息被发送到所选择的电子地址。

公开(公告)号：US08886623B2

公开(公告)日：2014-11-11

申请号：US12755652

申请日：2010-04-07

Applicant: Priyank Shanker Garg ,  Rohan Monga ,  Hemanth Sambrani ,  Sudharsan Vasudevan

Inventor： Priyank Shanker Garg ,  Rohan Monga ,  Hemanth Sambrani ,  Sudharsan Vasudevan

IPC: G06F7/00 ,  G06F17/30

CPC classification number: G06F17/30864 ,  G06F17/30705

Abstract: Disclosed is a method and system for retrieving data; extracting information from the data; learning to disambiguate the extracted information such that a particular sense of each phrase within the extracted information is determined; generating a disambiguation classifier from the learning to disambiguate step, the disambiguation classifier configured to determine a sense of a phrase within a document; learning to select a portion of the information as being relevant to a theme of the data; generating a selection classifier from the learning to select step, the selection classifier configured to select a topic in a document that is relevant to a theme of the document; and using the disambiguation classifier and the selection classifier by an indexing computer to determine a set of topics from a web document retrieved by the indexing computer.

Abstract translation: 公开了一种用于检索数据的方法和系统; 从数据中提取信息; 学习消除所提取的信息，使得确定提取的信息内的每个短语的特定感觉; 从消除歧义的步骤中产生消歧分类器，消歧分类器被配置为确定文档内的短语感; 学习选择一部分信息与数据的主题相关; 从所述学习选择步骤生成选择分类器，所述选择分类器被配置为选择文档中与所述文档的主题相关的主题; 以及由索引计算机使用消歧分类器和选择分类器来从由索引计算机检索的web文档中确定一组主题。

公开(公告)号：US20120117050A1

公开(公告)日：2012-05-10

申请号：US13353187

申请日：2012-01-18

Applicant: Sudharsan Vasudevan ,  Rohan Monga ,  Hemanth Sambrani ,  N. S. Sekar

Inventor： Sudharsan Vasudevan ,  Rohan Monga ,  Hemanth Sambrani ,  N. S. Sekar

IPC: G06F17/30

CPC classification number: G06F16/367

Abstract: Techniques are provided for creating and updating a entity hierarchy (taxonomy) based on information captured about user interaction with a system. Techniques are also provided for using the taxonomy to determine the nature of entities represented by terms submitted to a search engine. Search logs analyzed for related sets of entities, and used to improve the taxonomy for storing information. Once the taxonomy is created, information across data sources are fetched and aggregated based on the taxonomy. When the system is queried, the query is modified to a predefined template, and the best fit result is promptly returned. A feedback mechanism is also provided to enhance taxonomy and entity data based on search volumes. This system enables search engines to provide accurate answers when entities, their attributes and relationships are involved.

Abstract translation: 提供了基于用于与系统的用户交互捕获的信息来创建和更新实体层次（分类法）的技术。 还提供了使用分类法来确定由提交给搜索引擎的条款表示的实体的性质的技术。 搜索日志分析了相关的实体集，并用于改进存储信息的分类法。 一旦创建了分类法，数据源之间的信息将根据分类法获取和聚合。 查询系统时，查询被修改为预定义的模板，并且最终合适的结果被及时返回。 还提供反馈机制，以增强基于搜索量的分类法和实体数据。 当涉及实体，其属性和关系时，该系统使搜索引擎能够提供准确的答案。

公开(公告)号：US08126908B2

公开(公告)日：2012-02-28

申请号：US12141833

申请日：2008-06-18

Applicant: Sudharsan Vasudevan ,  Rohan Monga ,  Hemanth Sambrani ,  N S Sekar

Inventor： Sudharsan Vasudevan ,  Rohan Monga ,  Hemanth Sambrani ,  N S Sekar

IPC: G06F7/00 ,  G06F17/30

CPC classification number: G06F17/30734

Abstract: Techniques are provided for creating and updating a entity hierarchy (taxonomy) based on information captured about user interaction with a system. Techniques are also provided for using the taxonomy to determine the nature of entities represented by terms submitted to a search engine. Search logs analyzed for related sets of entities, and used to improve the taxonomy for storing information. Once the taxonomy is created, information across data sources are fetched and aggregated based on the taxonomy. When the system is queried, the query is modified to a predefined template, and the best fit result is promptly returned. A feedback mechanism is also provided to enhance taxonomy and entity data based on search volumes. This system enables search engines to provide accurate answers when entities, their attributes and relationships are involved.

Abstract translation: 提供了基于用于与系统的用户交互捕获的信息来创建和更新实体层次（分类法）的技术。 还提供了使用分类法来确定由提交给搜索引擎的条款表示的实体的性质的技术。 搜索日志分析了相关的实体集，并用于改进存储信息的分类法。 一旦创建了分类法，数据源之间的信息将根据分类法获取和聚合。 查询系统时，查询被修改为预定义的模板，并且最终合适的结果被及时返回。 还提供反馈机制，以增强基于搜索量的分类法和实体数据。 当涉及实体，其属性和关系时，该系统使搜索引擎能够提供准确的答案。

公开(公告)号：US20090282010A1

公开(公告)日：2009-11-12

申请号：US12141833

申请日：2008-06-18

Applicant: Sudharsan Vasudevan ,  Rohan Monga ,  Hemanth Sambrani ,  N S Sekar

Inventor： Sudharsan Vasudevan ,  Rohan Monga ,  Hemanth Sambrani ,  N S Sekar

IPC: G06F17/30

CPC classification number: G06F17/30734

Abstract: Techniques are provided for creating and updating a entity hierarchy (taxonomy) based on information captured about user interaction with a system. Techniques are also provided for using the taxonomy to determine the nature of entities represented by terms submitted to a search engine. Search logs analyzed for related sets of entities, and used to improve the taxonomy for storing information. Once the taxonomy is created, information across data sources are fetched and aggregated based on the taxonomy. When the system is queried, the query is modified to a predefined template, and the best fit result is promptly returned. A feedback mechanism is also provided to enhance taxonomy and entity data based on search volumes. This system enables search engines to provide accurate answers when entities, their attributes and relationships are involved.

Abstract translation: 提供了基于用于与系统的用户交互捕获的信息来创建和更新实体层次（分类法）的技术。 还提供了使用分类法来确定由提交给搜索引擎的条款表示的实体的性质的技术。 搜索日志分析了相关的实体集，并用于改进存储信息的分类法。 一旦创建了分类法，数据源之间的信息将根据分类法获取和聚合。 查询系统时，查询被修改为预定义的模板，并且最终合适的结果被及时返回。 还提供反馈机制，以增强基于搜索量的分类法和实体数据。 当涉及实体，其属性和关系时，该系统使搜索引擎能够提供准确的答案。

公开(公告)号：US11068850B2

公开(公告)日：2021-07-20

申请号：US12471351

申请日：2009-05-23

Applicant: Hemanth Sambrani ,  Sudharsan Vasudevan ,  Rohan Monga

Inventor： Hemanth Sambrani ,  Sudharsan Vasudevan ,  Rohan Monga

IPC: G06Q10/10 ,  H04L12/58

Abstract: Managing electronic addresses based on communication patterns. A method includes tracking metadata of a plurality of electronic communications of a user. One or more lists of electronic addresses of recipients are generated for the user based on the metadata. Electronic addresses of potential recipients are identified from the one or more lists in response to an input indicative of selection of an electronic address of a recipient. The identified electronic addresses are recommended to the user. An input indicative of one or more electronic addresses selected by the user from the identified electronic addresses is received. Further, an electronic message is sent to the selected electronic addresses.