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    MODELING ACTIONS FOR ENTITY-CENTRIC SEARCH
    1.
    发明申请
    MODELING ACTIONS FOR ENTITY-CENTRIC SEARCH 有权
    建立实体中央搜索行动

    公开(公告)号：US20130144854A1

    公开(公告)日：2013-06-06

    申请号：US13311581

    申请日：2011-12-06

    申请人： Patrick Pantel ,  Michael Gamon ,  Anitha Kannan ,  Ariel Fuxman ,  Thomas Lin

    发明人： Patrick Pantel ,  Michael Gamon ,  Anitha Kannan ,  Ariel Fuxman ,  Thomas Lin

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30867

    摘要： In one embodiment, a web service engine server 104 may predict a successive action by a user based on an entity reference 302. The web service engine server 104 may identify an entity reference 302 in a data transmission caused by a user. The web service engine server 104 may determine from the data transmission a user intention towards the entity reference 302 using an intention model based on a transmission log. The web service engine server 104 may predict a related successive web action option 522 for the entity reference 302 based on the user intention.

    摘要翻译： 在一个实施例中，网络服务引擎服务器104可以基于实体参考302来预测用户的连续动作。网络服务引擎服务器104可以在由用户引起的数据传输中识别实体参考302。 Web服务引擎服务器104可以使用基于传输日志的意图模型从数据传输确定用户对实体参考302的意图。 Web服务引擎服务器104可以基于用户意图预测实体参考302的相关的连续web动作选项522。

    MIXING KNOWLEDGE SOURCES WITH AUTO LEARNING FOR IMPROVED ENTITY EXTRACTION
    2.
    发明申请
    MIXING KNOWLEDGE SOURCES WITH AUTO LEARNING FOR IMPROVED ENTITY EXTRACTION 有权
    混合知识来源与自动学习改进实体提取

    公开(公告)号：US20110022550A1

    公开(公告)日：2011-01-27

    申请号：US12509310

    申请日：2009-07-24

    申请人： Marco Pennacchiotti ,  Patrick Pantel

    发明人： Marco Pennacchiotti ,  Patrick Pantel

    IPC分类号： G06F15/18

    CPC分类号： G06N99/005

    摘要： The disclosed embodiments of computer systems and techniques utilize an ensemble semantics framework to combine knowledge acquisition systems that yield significantly higher quality resources than each system in isolation. Gains in entity extraction are achieved by combining state-of-the-art distributional and pattern-based systems with a large set of features from, for example, a webcrawl, query logs, and wisdom of the crowd sources. This results in improved query interpretation and greater relevancy in providing search results and advertising, for example.

    摘要翻译： 所公开的计算机系统和技术的实施例利用集合语义框架来组合知识获取系统，其产生比每个系统孤立地显着更高质量的资源。 实体提取的收益通过将最先进的分布式和基于模式的系统与来自例如webcrawl，查询日志和人群智慧的大量功能组合来实现。 例如，这可以提高查询解释和提供搜索结果和广告的相关性。

    Search system with query refinement
    3.
    发明授权
    Search system with query refinement 有权

    公开(公告)号：US09767144B2

    公开(公告)日：2017-09-19

    申请号：US13452720

    申请日：2012-04-20

    申请人： Patrick Pantel ,  Michael Gamon ,  Hassan Sajjad

    发明人： Patrick Pantel ,  Michael Gamon ,  Hassan Sajjad

    IPC分类号： G06F17/30 ,  G06F17/00

    CPC分类号： G06F17/30395 ,  G06F17/30867

    摘要： A search system that automatically generates questions to refine an underspecified query. The system may generate questions even for queries against a database that contains unstructured textual descriptions of items, allowing the system to operate on a database of items that can be constructed inexpensively. The system extracts from the unstructured text combinations of words that may serve as a set of attribute values. The system uses a classifier to filter out attribute values from the set that would generate unanswerable questions. The remaining attribute values are ranked on their ability to narrow the search results and the highest ranking attribute value is used to generate a question to the user who submitted the query. The response to the question narrows the search results, and the process can be repeated iteratively until the search results are sufficiently narrow.

    SEARCH SYSTEM WITH QUERY REFINEMENT
    4.
    发明申请
    SEARCH SYSTEM WITH QUERY REFINEMENT 有权
    搜索系统与查询精简

    公开(公告)号：US20130282704A1

    公开(公告)日：2013-10-24

    申请号：US13452720

    申请日：2012-04-20

    申请人： Patrick Pantel ,  Michael Gamon ,  Hassan Sajjad

    发明人： Patrick Pantel ,  Michael Gamon ,  Hassan Sajjad

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30395 ,  G06F17/30867

    摘要： A search system that automatically generates questions to refine an underspecified query. The system may generate questions even for queries against a database that contains unstructured textual descriptions of items, allowing the system to operate on a database of items that can be constructed inexpensively. The system extracts from the unstructured text combinations of words that may serve as a set of attribute values. The system uses a classifier to filter out attribute values from the set that would generate unanswerable questions. The remaining attribute values are ranked on their ability to narrow the search results and the highest ranking attribute value is used to generate a question to the user who submitted the query. The response to the question narrows the search results, and the process can be repeated iteratively until the search results are sufficiently narrow.

    摘要翻译： 搜索系统自动生成问题以优化不合格的查询。 即使对于包含项目的非结构化文本描述的数据库的查询，系统也可能产生问题，从而允许系统对可以廉价构建的项目的数据库进行操作。 系统从可以用作一组属性值的单词的非结构化文本组合中提取。 系统使用分类器从集合中过滤出将产生不可回答问题的属性值。 剩余的属性值按其缩小搜索结果的能力进行排名，最高排名属性值用于向提交查询的用户生成问题。 对问题的回答缩小了搜索结果，并且可以迭代地重复该过程，直到搜索结果足够窄。

    IDENTIFICATION OF RELATED BID PHRASES AND CATEGORIES USING CO-BIDDING INFORMATION
    6.
    发明申请
    IDENTIFICATION OF RELATED BID PHRASES AND CATEGORIES USING CO-BIDDING INFORMATION 审中-公开
    使用共同投标信息识别相关投标单和类别

    公开(公告)号：US20100293184A1

    公开(公告)日：2010-11-18

    申请号：US12465077

    申请日：2009-05-13

    申请人： Vanja Josifovski ,  Andrei Broder ,  Patrick Pantel ,  Ana-Maria Popescu ,  Evgeniy Gabrilovich ,  William Swei Chang

    发明人： Vanja Josifovski ,  Andrei Broder ,  Patrick Pantel ,  Ana-Maria Popescu ,  Evgeniy Gabrilovich ,  William Swei Chang

    IPC分类号： G06F17/30

    CPC分类号： G06Q30/08 ,  G06Q30/02

    摘要： The present invention provides a method and system for determining related bid terms. The method and system includes accessing a term database to determine a plurality of term pairs, the term pairs being paired terms bidded together in a term bidding operating environment. In the method and system, for each of the plurality of term pairs, the method and system includes determining similarity values for each of the term pairs. The method and system further includes generating a similarity matrix using the determined similarity values. And, the method and system includes generating an output result based on a co-bidded relationship between at least one of the terms and advertising information.

    摘要翻译： 本发明提供了一种用于确定相关投标术语的方法和系统。 方法和系统包括访问术语数据库以确定多个术语对，术语对是在术语投标操作环境中一起投标的配对术语。 在方法和系统中，对于多个术语对中的每一个，该方法和系统包括确定每个术语对的相似度值。 所述方法和系统还包括使用所确定的相似度值来生成相似性矩阵。 并且，所述方法和系统包括基于所述术语中的至少一个与广告信息之间的共同关系生成输出结果。

    MIXING KNOWLEDGE SOURCES FOR IMPROVED ENTITY EXTRACTION
    9.
    发明申请
    MIXING KNOWLEDGE SOURCES FOR IMPROVED ENTITY EXTRACTION 审中-公开
    混合知识来源改进实体提取

    公开(公告)号：US20110022598A1

    公开(公告)日：2011-01-27

    申请号：US12509278

    申请日：2009-07-24

    申请人： Marco Pennacchiotti ,  Patrick Pantel

    发明人： Marco Pennacchiotti ,  Patrick Pantel

    IPC分类号： G06F17/30

    CPC分类号： G06F16/951

    摘要： The disclosed embodiments of computer systems and techniques utilize an ensemble semantics framework to combine knowledge acquisition systems that yield significantly higher quality resources than each system in isolation. Gains in entity extraction are achieved by combining state-of-the-art distributional and pattern-based systems with a large set of features from, for example, a webcrawl, query logs, and wisdom of the crowd sources. This results in improved query interpretation and greater relevancy in providing search results and advertising, for example.

    摘要翻译： 所公开的计算机系统和技术的实施例利用集合语义框架来组合知识获取系统，其产生比每个系统孤立地显着更高质量的资源。 实体提取的收益通过将最先进的分布式和基于模式的系统与来自例如webcrawl，查询日志和人群智慧的大量功能组合来实现。 例如，这可以提高查询解释和提供搜索结果和广告的相关性。