-
公开(公告)号：US20120150657A1
公开(公告)日：2012-06-14
申请号：US12967855
申请日：2010-12-14
IPC分类号： G06Q30/00
CPC分类号： G06Q30/02 , G06Q30/0269 , G06Q30/0275
摘要： Computer-readable media, computer systems, and computing methods are provided for employing abstract objects to solicit bids from advertisers and to present ads submitted by the advertisers upon a user invoking the abstract objects while conducting an online search. The abstract objects include entities, entity classes, actions, and tasks, which are mined by crawling storage locations on the Internet. These abstract objects are monetized by building an index with entries referencing the abstract objects and maintaining the index in a location accessible to advertisers. Via the index, the advertisers target the abstract objects and place bids thereon. During a user-initiated online search, the abstract objects that are relevant to a task being carried out by the user are identified. Further, ads submitted by advertisers that placed bids upon the identified abstract objects are selected for presentation. Based on the bids, the winning advertiser's ad is presented to the user.
摘要翻译： 提供计算机可读介质，计算机系统和计算方法，用于使用抽象对象来征求广告者的出价，并且在进行在线搜索时在用户调用抽象对象时呈现由广告商提交的广告。 抽象对象包括实体，实体类，动作和任务，它们是通过爬网在互联网上的存储位置进行挖掘的。 这些抽象对象通过使用引用抽象对象的条目构建索引并将索引维护到广告商可访问的位置来获利。 通过索引，广告客户将目标抽象对象并对其进行投标。 在用户发起的在线搜索期间，识别与由用户执行的任务相关的抽象对象。 此外，选择投标对所标识的抽象对象的广告商提交的广告进行呈现。 根据出价，中奖广告客户的广告将呈现给用户。
-
公开(公告)号：US20130185314A1
公开(公告)日：2013-07-18
申请号：US13350821
申请日：2012-01-16
IPC分类号： G06F17/30
CPC分类号： G06F16/2468
摘要： Data sources, such as web pages or databases, store or output entities that include data or other information. To compare entities generated by different data sources, and to identify duplicate entities, a scoring function is generated for each pair of data sources that can generate a similarity score that represents the similarity of two entities from the data sources in the pair. To generate the scoring functions, training data is generated for each pair of data sources and reviewed by a judge. The training data is used to generate the scoring functions using machine learning. In order to reduce the amount of training data that is used, transfer learning techniques are applied to use information learned from generating one scoring function for a pair of sources when generating a scoring function for a subsequent pair of sources.
摘要翻译： 数据源（如网页或数据库）存储或输出包含数据或其他信息的实体。 为了比较不同数据源生成的实体，并识别重复实体，可以为每对数据源生成一个评分函数，该数据源可以生成表示两个实体与该对中的数据源相似度的相似性分数。 为了产生评分功能，为每对数据源生成训练数据，并由法官审查。 培训数据用于使用机器学习生成评分函数。 为了减少所使用的训练数据的数量，应用传送学习技术来在为后续的一对源生成评分函数时，使用从一个来源生成一个评分函数获得的信息。
-
公开(公告)号：US08996682B2
公开(公告)日：2015-03-31
申请号：US11871831
申请日：2007-10-12
申请人： Daniel C. Stevenson , Olivier Dabrowski , Kresimir Bozic , Dan Teodosiu , Paolo Severini , Cristian Costache , Euan Grant , Erik Zigman
发明人： Daniel C. Stevenson , Olivier Dabrowski , Kresimir Bozic , Dan Teodosiu , Paolo Severini , Cristian Costache , Euan Grant , Erik Zigman
IPC分类号： G06F15/173 , G06Q30/02 , G06F17/30 , H04L29/08
CPC分类号： G06Q30/02 , G06F17/3089 , H04L67/025 , H04L67/22
摘要： Embodiments of the invention provide a method and system for automatically instrumenting a set of web documents, such as web pages, as well as embedding structures that present advertising content via the web pages. The instrumentation automatically embeds tags that enable usage information associated with the web documents to be tracked and recorded. Many hundreds or thousands of web pages can be automatically modified without user intervention, enabling comprehensive reporting and tracking to be performed on each page. The web pages are analyzed and insertion points intelligently located. Changes can be verified to ensure that no undesirable effects resulted from embedding the content. The tags can receive parameters customized to the level of users and pages. The tags, insertion information, and other configuration information can be stored in a central repository to make subsequent tagging easier.
摘要翻译： 本发明的实施例提供了一种用于自动测试诸如网页的web文档集合的方法和系统，以及经由网页呈现广告内容的嵌入结构。 仪器自动嵌入标签，该标签启用与要跟踪和记录的Web文档相关联的使用信息。 许多数百或数千个网页可以自动修改，无需用户干预，从而能够在每个页面上执行全面的报告和跟踪。 分析网页并智能地定位插入点。 可以验证更改，以确保嵌入内容不会产生不良影响。 标签可以接收根据用户和页面级别定制的参数。 标签，插入信息和其他配置信息可以存储在中央存储库中，从而使后续标签更容易。
-
公开(公告)号：US20090100154A1
公开(公告)日：2009-04-16
申请号：US11871831
申请日：2007-10-12
申请人： Daniel C. Stevenson , Olivier Dabrowski , Kresimir Bozic , Dan Teodosiu , Paolo Severini , Cristian Costache , Euan Grant , Erik Zigman
发明人： Daniel C. Stevenson , Olivier Dabrowski , Kresimir Bozic , Dan Teodosiu , Paolo Severini , Cristian Costache , Euan Grant , Erik Zigman
IPC分类号： G06F15/177
CPC分类号： G06Q30/02 , G06F17/3089 , H04L67/025 , H04L67/22
摘要： Embodiments of the invention provide a method and system for automatically instrumenting a set of web documents, such as web pages, as well as embedding structures that present advertising content via the web pages. The instrumentation automatically embeds tags that enable usage information associated with the web documents to be tracked and recorded. Many hundreds or thousands of web pages can be automatically modified without user intervention, enabling comprehensive reporting and tracking to be performed on each page. The web pages are analyzed and insertion points intelligently located. Changes can be verified to ensure that no undesirable effects resulted from embedding the content. The tags can receive parameters customized to the level of users and pages. The tags, insertion information, and other configuration information can be stored in a central repository to make subsequent tagging easier.
摘要翻译： 本发明的实施例提供了一种用于自动测试诸如网页的web文档集合的方法和系统，以及经由网页呈现广告内容的嵌入结构。 仪器自动嵌入标签，该标签启用与要跟踪和记录的Web文档相关联的使用信息。 许多数百或数千个网页可以自动修改，无需用户干预，从而能够在每个页面上执行全面的报告和跟踪。 分析网页并智能地定位插入点。 可以验证更改，以确保嵌入内容不会产生不良影响。 标签可以接收根据用户和页面级别定制的参数。 标签，插入信息和其他配置信息可以存储在中央存储库中，从而使后续标签更容易。
-
-
-
搜索结果
4 条记录 (耗时 0.023 秒)