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51. 发明申请

US20110078131A1 EXPERIMENTAL WEB SEARCH SYSTEM 审中-公开
标题翻译：实验WEB搜索系统
公开(公告)号：US20110078131A1
公开(公告)日：2011-03-31
申请号：US12569978
申请日：2009-09-30
申请人： Ji-Rong Wen , Yu Chen , Guomao Xin , Yunxiao Ma , Yi Liu , Zhicheng Dou , Qing Yu , Shuming Shi
发明人： Ji-Rong Wen , Yu Chen , Guomao Xin , Yunxiao Ma , Yi Liu , Zhicheng Dou , Qing Yu , Shuming Shi
IPC分类号： G06F7/10 , G06F17/30
CPC分类号： G06F16/951
摘要： Described is the running of search-related experiments on a full (or partial) offline snapshot copy of the search engine documents of an actual production system. A snapshot experimentation subsystem runs experimental code related to web searches on the offline data, including to run experimental index building code to build an experimental index (e.g., to test a new document feature), and/or to run experimental search-related code, such as to rank search results according to experimental ranking code, to implement an experimental search strategy, and/or to generate experimental captions.
摘要翻译：描述了对实际生产系统的搜索引擎文档的完整（或部分）离线快照副本的搜索相关实验的运行。快照实验子系统运行与离线数据上的网络搜索相关的实验代码，包括运行实验索引构建代码来构建实验索引（例如，测试新文档特征）和/或运行实验搜索相关代码，例如根据实验排名代码对搜索结果进行排名，以实现实验搜索策略，和/或生成实验标题。

52. 发明授权

US07831685B2 Automatic detection of online commercial intention 失效
标题翻译：自动检测在线商业意图
公开(公告)号：US07831685B2
公开(公告)日：2010-11-09
申请号：US11300748
申请日：2005-12-14
申请人： Honghua Dai , Lee Wang , Ying Li , Zaiqing Nie , Ji-Rong Wen , Lingzhi Zhao
发明人： Honghua Dai , Lee Wang , Ying Li , Zaiqing Nie , Ji-Rong Wen , Lingzhi Zhao
IPC分类号： G06F15/16 , G06Q30/00
CPC分类号： G06Q30/02
摘要： Features extracted from network browser pages and/or network search queries are leveraged to facilitate in detecting a user's browsing and/or searching intent. Machine learning classifiers constructed from these features automatically detect a user's online commercial intention (OCI). A user's intention can be commercial or non-commercial, with commercial intentions being informational or transactional. In one instance, an OCI ranking mechanism is employed with a search engine to facilitate in providing search results that are ranked according to a user's intention. This also provides a means to match purchasing advertisements with potential customers who are more than likely ready to make a purchase (transactional stage). Additionally, informational advertisements can be matched to users who are researching a potential purchase (informational stage).
摘要翻译：从网络浏览器页面和/或网络搜索查询中提取的特征被利用以便于检测用户的浏览和/或搜索意图。从这些功能构建的机器学习分类器自动检测用户的在线商业意图（OCI）。用户的意图可以是商业的或非商业的，商业意图是信息或交易的。在一种情况下，使用OCI排名机制与搜索引擎，以便于提供根据用户意图进行排名的搜索结果。这也提供了一种方法来将购买广告与潜在客户相匹配，潜在客户可能准备进行购买（交易阶段）。此外，信息广告可以与正在研究潜在购买（信息阶段）的用户匹配。

53. 发明申请

US20100145956A1 PSEUDO-ANCHOR TEXT EXTRACTION 有权
标题翻译： PSEUDO-ANCHOR文本提取
公开(公告)号：US20100145956A1
公开(公告)日：2010-06-10
申请号：US12697056
申请日：2010-01-29
申请人： Shuming Shi , Zaiqing Nie , Ji-Rong Wen , Mingjie Zhu , Fei Xing
发明人： Shuming Shi , Zaiqing Nie , Ji-Rong Wen , Mingjie Zhu , Fei Xing
IPC分类号： G06F17/30
CPC分类号： G06F17/30616 , G06F17/30864 , Y10S707/99932
摘要： A search method uses pseudo-anchor text associated with search objects to improve search performance. The pseudo-anchor text may be extracted in combination with an identifier of the search objects (such as a pseudo-URL) from a digital corpus such as a collection of documents. Pseudo-anchor texts for each object are preferably extracted from candidate anchor blocks using a machine learning based approach. The pseudo-anchor texts are made available for searching and used to help rank the objects in a search result to improve search performance. The method may be used in vertical search of objects such as published articles, products and images that lack explicit URLs and anchor text information.
摘要翻译：搜索方法使用与搜索对象相关联的伪锚文本来改善搜索性能。伪锚文本可以与来自诸如文档集合的数字语料库的搜索对象（诸如伪URL）的标识符组合提取。优选地，使用基于机器学习的方法从候选锚块中提取每个对象的伪锚文本。伪锚文本可用于搜索，并用于帮助对搜索结果中的对象进行排名以提高搜索性能。该方法可以用于垂直搜索诸如已发表的文章，产品和缺乏明确的URL和锚文本信息的图像的对象。

54. 发明授权

US07480652B2 Determining relevance of a document to a query based on spans of query terms 有权
标题翻译：根据查询项的跨度确定文档与查询的相关性
公开(公告)号：US07480652B2
公开(公告)日：2009-01-20
申请号：US11259621
申请日：2005-10-26
申请人： Ji-Rong Wen , Ruihua Song , Wei-Ying Ma
发明人： Ji-Rong Wen , Ruihua Song , Wei-Ying Ma
IPC分类号： G06F17/30 , G06F15/16
CPC分类号： G06F17/30675 , G06F17/30864 , Y10S707/99931 , Y10S707/99932 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935
摘要： A relevance system determines the relevance of a query term to a document based on spans within the document that contain the query term. The relevance system aggregates the relevance of the query terms into an overall relevance for the document. For each query term, the relevance system calculates a span relevance for each span that contains that query term. The relevance system then aggregates the span relevances for a query term into a query term relevance for that document. The relevance system may aggregate the query term relevances into a document relevance.
摘要翻译：相关系统基于包含查询项的文档中的跨度来确定查询项与文档的相关性。相关系统将查询词的相关性聚合到文档的整体相关性。对于每个查询项，相关系统计算包含该查询项的每个跨度的跨度相关性。相关系统然后将查询项的跨度相关性聚合到该文档的查询词相关性中。相关系统可以将查询词语相关性合并成文档相关性。

55. 发明申请

US20080313165A1 SCALABLE MODEL-BASED PRODUCT MATCHING 有权
标题翻译：可扩展模型的产品匹配
公开(公告)号：US20080313165A1
公开(公告)日：2008-12-18
申请号：US11763539
申请日：2007-06-15
申请人： Kai Wu , Daniel Takacs , Tong Yao , Jiyu Zhang , Hua Yang , Ji-Rong Wen , Jonathan R.M. Hart , Eric Anthony Reel
发明人： Kai Wu , Daniel Takacs , Tong Yao , Jiyu Zhang , Hua Yang , Ji-Rong Wen , Jonathan R.M. Hart , Eric Anthony Reel
IPC分类号： G06F7/06 , G06F17/30
CPC分类号： G06Q30/02 , G06Q10/101 , Y10S707/944
摘要： Aspects of the subject matter described herein relate to matching product information to products. In aspects, a product matching component receives product information. The product matching component normalizes the product information and obtains keywords from the product information. By querying a database of recognized products, the keywords are used to obtain a list of products that potentially match the product information. A confidence level is assigned to each of the potential matches in the list. A match may be returned for the highest matched product or for a selectable number of products whose confidence level(s) exceed a selectable threshold.
摘要翻译：本文描述的主题的方面涉及将产品信息与产品相匹配。在方面，产品匹配组件接收产品信息。产品匹配组件对产品信息进行规范化，并从产品信息中获取关键字。通过查询已识别产品的数据库，关键字用于获取可能与产品信息相匹配的产品列表。信任级别分配给列表中的每个潜在匹配项。可以为最高匹配产品或可信度等级超过可选阈值的产品的可选数量返回匹配。

56. 发明授权

US07293007B2 Method and system for identifying image relatedness using link and page layout analysis 失效
标题翻译：使用链接和页面布局分析识别图像相关性的方法和系统
公开(公告)号：US07293007B2
公开(公告)日：2007-11-06
申请号：US10834483
申请日：2004-04-29
申请人： Wei-Ying Ma , Ji-Rong Wen , Xiaofei He , Deng Cai
发明人： Wei-Ying Ma , Ji-Rong Wen , Xiaofei He , Deng Cai
IPC分类号： G06F7/00
CPC分类号： G06F17/30864 , Y10S707/99931
摘要： A method and system for determining relatedness of images of pages based on link and page layout analysis. A link analysis system determines relatedness between images by first identifying blocks within web pages, and then analyzing the importance of the blocks to web pages, web pages to blocks, and images to blocks. Based on this analysis, the link analysis system determines the degree to which each image is related to each other image. The link analysis system may also use the relatedness of images to generate a ranking of the images. The link analysis system may also generate a vector representation of the images based on their relatedness and apply a clustering algorithm to the vector representations to identify clusters of related images.
摘要翻译：一种基于链接和页面布局分析来确定页面图像相关性的方法和系统。链接分析系统通过首先识别网页内的块，然后分析块对网页，网页到块和图像到块的重要性来确定图像之间的相关性。基于该分析，链路分析系统确定每个图像与彼此图像相关的程度。链接分析系统还可以使用图像的相关性来生成图像的排序。链接分析系统还可以基于它们的相关性生成图像的矢量表示，并将聚类算法应用于矢量表示以识别相关图像的簇。

57. 发明申请

US20060059180A1 Semi-structured data storage schema selection 失效
公开(公告)号：US20060059180A1
公开(公告)日：2006-03-16
申请号：US11267709
申请日：2005-11-04
申请人： Ji-Rong Wen , Shihui Zheng , Hongjun Lu
发明人： Ji-Rong Wen , Shihui Zheng , Hongjun Lu
IPC分类号： G06F17/00
CPC分类号： G06F17/30595 , G06F17/30914 , Y10S707/99933 , Y10S707/99942 , Y10S707/99943
摘要： In one aspect, this disclosure relates to a method and associated apparatus that allows a user to obtain a semi-structured data input and a workload input. An improved semi-structured data storage schema is selected for a relational schema in response to the semi-structured data input and the workload input. The semi-structured data is segmented based on the selected improved semi-structured data storage schema. In one aspect, the semi-structured data is XML data.

58. 发明申请

US20050256850A1 Method and system for schema matching of web databases 有权
标题翻译： Web数据库模式匹配的方法和系统
公开(公告)号：US20050256850A1
公开(公告)日：2005-11-17
申请号：US10846396
申请日：2004-05-14
申请人： Wei-Ying Ma , Ji-Rong Wen
发明人： Wei-Ying Ma , Ji-Rong Wen
IPC分类号： G06N99/00 , G06F7/00 , G06F13/00 , G06F17/30
CPC分类号： G06F17/30731 , G06F17/30861 , Y10S707/99933 , Y10S707/99943
摘要： A method and system for identifying schemas of web databases is provided. A schema matching system generates a mapping between an interface schema and a result schema of a web database, which is used to represent the underlying database schema. The schema matching system also generates a mapping of the interface attributes and the result attributes of the web database to global attributes of a global schema whose semantics are known. Using these mappings, a search engine service can formulate queries using the global attributes, map those queries to the corresponding interface attributes, submit the query, and retrieve the values from the result attributes that correspond to the desired global attributes.
摘要翻译：提供了一种用于识别Web数据库模式的方法和系统。模式匹配系统生成Web数据库的接口模式和结果模式之间的映射，用于表示底层数据库模式。模式匹配系统还会将Web数据库的接口属性和结果属性的映射生成为语义已知的全局模式的全局属性。使用这些映射，搜索引擎服务可以使用全局属性来制定查询，将这些查询映射到相应的接口属性，提交查询，并从对应于所需全局属性的结果属性中检索值。

59. 发明申请

US20050246623A1 Method and system for identifying image relatedness using link and page layout analysis 失效
标题翻译：使用链接和页面布局分析识别图像相关性的方法和系统
公开(公告)号：US20050246623A1
公开(公告)日：2005-11-03
申请号：US10834483
申请日：2004-04-29
申请人： Wei-Ying Ma , Ji-Rong Wen , Xiaofei He , Deng Cai
发明人： Wei-Ying Ma , Ji-Rong Wen , Xiaofei He , Deng Cai
IPC分类号： G06F17/30 , G06F7/00 , G06F15/00 , G06F15/18 , G06F17/00 , G06F17/21 , G06F17/24 , G06G7/00
CPC分类号： G06F17/30864 , Y10S707/99931
摘要： A method and system for determining relatedness of images of pages based on link and page layout analysis. A link analysis system determines relatedness between images by first identifying blocks within web pages, and then analyzing the importance of the blocks to web pages, web pages to blocks, and images to blocks. Based on this analysis, the link analysis system determines the degree to which each image is related to each other image. The link analysis system may also use the relatedness of images to generate a ranking of the images. The link analysis system may also generate a vector representation of the images based on their relatedness and apply a clustering algorithm to the vector representations to identify clusters of related images.
摘要翻译：一种基于链接和页面布局分析来确定页面图像相关性的方法和系统。链接分析系统通过首先识别网页内的块，然后分析块对网页，网页到块和图像到块的重要性来确定图像之间的相关性。基于该分析，链路分析系统确定每个图像与彼此图像相关的程度。链接分析系统还可以使用图像的相关性来生成图像的排序。链接分析系统还可以基于它们的相关性生成图像的矢量表示，并将聚类算法应用于矢量表示以识别相关图像的簇。

60. 发明授权

US08504490B2 Web-scale entity relationship extraction that extracts pattern(s) based on an extracted tuple 有权
标题翻译：基于提取的元组提取模式的Web规模实体关系提取
公开(公告)号：US08504490B2
公开(公告)日：2013-08-06
申请号：US12757722
申请日：2010-04-09
申请人： Zaiqing Nie , Xiaojiang Liu , Jun Zhu , Ji-Rong Wen
发明人： Zaiqing Nie , Xiaojiang Liu , Jun Zhu , Ji-Rong Wen
IPC分类号： G06F15/18
CPC分类号： G06F17/30554 , G06F17/30598 , G06F17/30731 , G06F17/3089 , G06F17/30991 , G06N7/00 , G06N99/005 , G06Q10/10
摘要： Methods and systems for Web-scale entity relationship extraction are usable to build large-scale entity relationship graphs from any data corpora stored on a computer-readable medium or accessible through a network. Such entity relationship graphs may be used to navigate previously undiscoverable relationships among entities within data corpora. Additionally, the entity relationship extraction may be configured to utilize discriminative models to jointly model correlated data found within the selected corpora.
摘要翻译：用于Web规模实体关系提取的方法和系统可用于从存储在计算机可读介质上或可通过网络访问的任何数据语料库构建大型实体关系图。这样的实体关系图可以用于导航数据语料库中的实体之间的先前不可发现的关系。此外，实体关系提取可以被配置为利用歧视模型来共同建模在所选择的语料库内发现的相关数据。

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