会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 12. 发明授权
    • Machine translation system using well formed substructures
    • 机器翻译系统使用良好的子结构
    • US5848385A
    • 1998-12-08
    • US562686
    • 1995-11-27
    • Victor PoznanskiJohn Luis BeavenIan George Johnson
    • Victor PoznanskiJohn Luis BeavenIan George Johnson
    • G06F17/27G06F17/28
    • G06F17/271G06F17/2755G06F17/277G06F17/2872
    • Source language text from an input interface is broken down into source language morphemes by a morphological analyzer. A syntactic analyzer converts the morphemes into source language signs labelled with identifiers and data identifying other signs which are grammatically related. A bilingual equivalence transformer transforms the source language signs to target language signs which are combined by a combiner to provide a first attempt at a target language structure. The structure is repeatedly evaluated by an evaluator and transformed by a transformer. The signs of well formed substructures identified by the evaluator are not dissociated from each other by the transformer. This process ends when either the whole target language structure is evaluated as being well formed or all transformations have been unsuccessfully evaluated.
    • 输入界面的源语言文本由形态分析器分解为源语言语素。 句法分析器将语素转换为标示标识符的源语言符号,并标识与语法相关的其他符号。 双语等效变换器将源语言符号转换为由组合器组合的目标语言符号,以提供目标语言结构的第一尝试。 该结构由评估者重复评估并由变压器变换。 由评估者识别的形成良好的子结构的迹象不会被变压器彼此解离。 当整个目标语言结构被评估为正确形成或者所有转换都被成功评估时,该过程就会结束。
    • 13. 发明申请
    • USING POPULAR QUERIES TO DECIDE WHEN TO FEDERATE QUERIES
    • 使用热门问题来纠正问题
    • US20130191371A1
    • 2013-07-25
    • US13355290
    • 2012-01-20
    • Victor PoznanskiYauhen ShnitkoDmitriy Meyerzon
    • Victor PoznanskiYauhen ShnitkoDmitriy Meyerzon
    • G06F17/30
    • G06F17/30864
    • A query received from a user is directed to a particular search application (e.g. an Enterprise search portal) that is associated with a result source from which to retrieve results. The received query may be federated to additional result sources when the received query is determined to be a popular query in a result source. Query logs associated with the additional result sources are analyzed to determine when a query is popular as compared to the original result source. The query may be altered before being executed that uses one or more of the additional result sources. When the query (altered/unaltered) is determined to be popular for any of the additional result sources as compared to the original result source, the query is executed using that additional result source.
    • 从用户接收的查询被定向到与要从其中检索结果的结果源相关联的特定搜索应用(例如,企业搜索门户)。 当接收到的查询被确定为结果源中的流行查询时,所接收的查询可以联合到附加结果源。 分析与附加结果源相关联的查询日志,以确定查询与原始结果源相比流行的时间。 在使用一个或多个附加结果源的执行之前,查询可能会被更改。 当与原始结果源相比,当查询(更改/未更改)被确定为任何附加结果源受欢迎时,使用该附加结果源执行查询。
    • 17. 发明授权
    • Detection of junk in search result ranking
    • 在搜索结果排名中检测垃圾
    • US08738635B2
    • 2014-05-27
    • US12791756
    • 2010-06-01
    • Vladimir TankovichDmitriy MeyerzonVictor Poznanski
    • Vladimir TankovichDmitriy MeyerzonVictor Poznanski
    • G06F17/00G06F17/30
    • G06F17/30G06F17/00G06F17/30657G06F17/30864
    • Embodiments are directed to ranking search results using a junk profile. For a given corpus of documents, one or more junk profiles may be created and maintained. The junk profile provides reference metrics to represent known junk documents. For example, a junk profile may comprise a dictionary of document data that is automatically inserted into documents created using a particular system or template. A junk profile may also comprise one or more representations (e.g., histograms) of a distribution of a particular junk variable for known junk documents. The junk profile provides a usable representation of known junk documents, and the present systems and methods employ the junk profile to predict the likelihood that documents in the corpus are junk. In embodiments, junk scores are calculated and used to rank such documents higher or lower in response to a search query.
    • 实施例涉及使用垃圾简档对搜索结果进行排名。 对于给定的文档语料库,可以创建和维护一个或多个垃圾配置文件。 垃圾配置文件提供参考指标来表示已知的垃圾文档。 例如,垃圾简档可以包括自动插入到使用特定系统或模板创建的文档中的文档数据的字典。 垃圾简档还可以包括用于已知垃圾文档的特定垃圾变量的分布的一个或多个表示(例如直方图)。 垃圾简档提供已知垃圾文档的可用表示,并且本系统和方法使用垃圾简档来预测语料库中的文档是垃圾的可能性。 在实施例中,计算垃圾分数并用于响应于搜索查询而对这些文档进行更高或更低的排序。
    • 18. 发明授权
    • Custom ranking model schema
    • 自定义排名模式模式
    • US08527507B2
    • 2013-09-03
    • US12630981
    • 2009-12-04
    • Yauhen ShnitkoKaren Beattie MasseyDmitriy MeyerzonVictor Poznanski
    • Yauhen ShnitkoKaren Beattie MasseyDmitriy MeyerzonVictor Poznanski
    • G06F7/00
    • G06F17/30675
    • A customizable ranking model of a search engine using custom ranking model configuration and parameters of a pre-defined human-readable format. The architecture can employ a markup language schema to represent the custom ranking model. In one implementation, the schema developed utilizes XML (extensible markup language) for representing the custom ranking model. Weights for dynamic and static relevance ingredients can be altered per ranking model and new relevance ingredients can be added. Additionally, features are provided for improving relevance such as adding terms to a thesaurus for synonym expansion, for example, the ability to deal with single terms either as compounds, and/or using custom word breaking rules.
    • 使用自定义排名模型配置和预定义的人类可读格式的参数的可定制的搜索引擎排名模型。 该架构可以采用标记语言模式来表示自定义排名模型。 在一个实现中,开发的模式利用XML(可扩展标记语言)来表示自定义排名模型。 动态和静态相关成分的重量可以根据排名模型更改,并可添加新的相关成分。 另外,为提高相关性提供了相关性的功能,例如在同义词扩展的词库中添加术语,例如,将单词作为化合物处理的能力,和/或使用自定义单词断开规则。
    • 20. 发明申请
    • GENERATING AND PRESENTING DEEP LINKS
    • 生成和展示深层链接
    • US20130110815A1
    • 2013-05-02
    • US13283632
    • 2011-10-28
    • Vladimir TankovichVictor PoznanskiDmitriy Meyerzon
    • Vladimir TankovichVictor PoznanskiDmitriy Meyerzon
    • G06F17/30
    • G06F16/9566G06F16/9535
    • Concepts and technologies are described herein for generating and presenting deep links. In accordance with the concepts and technologies disclosed herein a search engine is configured to generate deep links associated with a site. A site is identified by the search engine and the site is analyzed by the search engine with data relating to searches of and/or usage of the site. The search engine identifies links or other resources contained in, associated with, or referenced by the site, generates deep links corresponding to the resources, and associates the deep links with the site. If a site having indexed deep links is identified in search results, the search engine identifies one or more deep links associated with the site and presents the deep links with the search results to provide a searcher with relevant resources that may not satisfy the search query submitted by the searcher.
    • 这里描述了用于生成和呈现深层链接的概念和技术。 根据本文公开的概念和技术,搜索引擎被配置为生成与站点相关联的深层链接。 搜索引擎识别出一个网站,并且搜索引擎对该站点进行了与网站搜索和/或使用有关的数据的分析。 搜索引擎识别站点中包含,关联或引用的链接或其他资源,生成对应于资源的深层链接,并将深层链接与站点相关联。 如果在搜索结果中识别出索引了深层链接的网站,则搜索引擎识别与该网站相关联的一个或多个深层链接,并向搜索者呈现与搜索结果的深层链接,以向搜索者提供可能不满足提交的搜索查询的相关资源 由搜索者。