Predicting and using search engine switching behavior
    1.
    发明授权
    Predicting and using search engine switching behavior 有权
    预测和使用搜索引擎切换行为

    公开(公告)号:US08185484B2

    公开(公告)日:2012-05-22

    申请号:US13154025

    申请日:2011-06-06

    IPC分类号: G06F15/18 G06F19/24

    CPC分类号: G06F17/30864

    摘要: Aspects of the subject matter described herein relate to predicting and using search engine switching behavior. In aspects, switching components receive a representation of user interactions with at least one browser. The switching components derive information from the representation that is useful in predicting whether a user will switch search engines. The derived information and information about a user's current interaction with a browser is then used by a switch predictor to predict whether the user will switch search engines. This prediction may be used in a variety of ways examples of which are given herein.

    摘要翻译: 本文描述的主题的方面涉及预测和使用搜索引擎切换行为。 在一些方面,切换组件接收与至少一个浏览器的用户交互的表示。 切换组件从表示中导出可用于预测用户是否切换搜索引擎的信息。 导出的信息和关于用户当前与浏览器的交互的信息随后被交换机预测器用于预测用户是否切换搜索引擎。 该预测可以以各种方式使用,其中给出的示例在此给出。

    Technologies for encouraging search engine switching based on behavior patterns
    2.
    发明授权
    Technologies for encouraging search engine switching based on behavior patterns 有权
    基于行为模式鼓励搜索引擎切换的技术

    公开(公告)号:US09031885B2

    公开(公告)日:2015-05-12

    申请号:US13465934

    申请日:2012-05-07

    CPC分类号: G06F17/30864

    摘要: Aspects of the subject matter described herein relate to predicting and using search engine switching behavior. In aspects, switching components receive a representation of user interactions with at least one browser. The switching components derive information from the representation that is useful in predicting whether a user will switch search engines. The derived information and information about a user's current interaction with a browser is then used by a switch predictor to predict whether the user will switch search engines. This prediction may be used in a variety of ways examples of which are given herein.

    摘要翻译: 本文描述的主题的方面涉及预测和使用搜索引擎切换行为。 在一些方面,切换组件接收与至少一个浏览器的用户交互的表示。 切换组件从表示中导出可用于预测用户是否切换搜索引擎的信息。 导出的信息和关于用户当前与浏览器的交互的信息随后被交换机预测器用于预测用户是否切换搜索引擎。 该预测可以以各种方式使用,其中给出的示例在此给出。

    Predicting and using search engine switching behavior
    3.
    发明授权
    Predicting and using search engine switching behavior 有权
    预测和使用搜索引擎切换行为

    公开(公告)号:US07984000B2

    公开(公告)日:2011-07-19

    申请号:US11959453

    申请日:2007-12-18

    IPC分类号: G06F15/18 G06F15/16 G06E1/00

    CPC分类号: G06F17/30864

    摘要: Aspects of the subject matter described herein relate to predicting and using search engine switching behavior. In aspects, switching components receive a representation of user interactions with at least one browser. The switching components derive information from the representation that is useful in predicting whether a user will switch search engines. The derived information and information about a user's current interaction with a browser is then used by a switch predictor to predict whether the user will switch search engines. This prediction may be used in a variety of ways examples of which are given herein.

    摘要翻译: 本文描述的主题的方面涉及预测和使用搜索引擎切换行为。 在一些方面,切换组件接收与至少一个浏览器的用户交互的表示。 切换组件从表示中导出可用于预测用户是否切换搜索引擎的信息。 导出的信息和关于用户当前与浏览器的交互的信息随后被交换机预测器用于预测用户是否切换搜索引擎。 该预测可以以各种方式使用,其中给出的示例在此给出。

    PREDICTING AND USING SEARCH ENGINE SWITCHING BEHAVIOR
    4.
    发明申请
    PREDICTING AND USING SEARCH ENGINE SWITCHING BEHAVIOR 有权
    预测和使用搜索引擎切换行为

    公开(公告)号:US20090112781A1

    公开(公告)日:2009-04-30

    申请号:US11959453

    申请日:2007-12-18

    IPC分类号: G06F15/18 G06F7/00

    CPC分类号: G06F17/30864

    摘要: Aspects of the subject matter described herein relate to predicting and using search engine switching behavior. In aspects, switching components receive a representation of user interactions with at least one browser. The switching components derive information from the representation that is useful in predicting whether a user will switch search engines. The derived information and information about a user's current interaction with a browser is then used by a switch predictor to predict whether the user will switch search engines. This prediction may be used in a variety of ways examples of which are given herein.

    摘要翻译: 本文描述的主题的方面涉及预测和使用搜索引擎切换行为。 在一些方面,切换组件接收与至少一个浏览器的用户交互的表示。 切换组件从表示中导出可用于预测用户是否切换搜索引擎的信息。 导出的信息和关于用户当前与浏览器的交互的信息随后被交换机预测器用于预测用户是否切换搜索引擎。 该预测可以以各种方式使用,其中给出的示例在此给出。

    PREDICTING AND USING SEARCH ENGINE SWITCHING BEHAVIOR
    5.
    发明申请
    PREDICTING AND USING SEARCH ENGINE SWITCHING BEHAVIOR 有权
    预测和使用搜索引擎切换行为

    公开(公告)号:US20110238648A1

    公开(公告)日:2011-09-29

    申请号:US13154025

    申请日:2011-06-06

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30864

    摘要: Aspects of the subject matter described herein relate to predicting and using search engine switching behavior. In aspects, switching components receive a representation of user interactions with at least one browser. The switching components derive information from the representation that is useful in predicting whether a user will switch search engines. The derived information and information about a user's current interaction with a browser is then used by a switch predictor to predict whether the user will switch search engines. This prediction may be used in a variety of ways examples of which are given herein.

    摘要翻译: 本文描述的主题的方面涉及预测和使用搜索引擎切换行为。 在一些方面,切换组件接收与至少一个浏览器的用户交互的表示。 切换组件从表示中导出可用于预测用户是否切换搜索引擎的信息。 导出的信息和关于用户当前与浏览器的交互的信息随后被交换机预测器用于预测用户是否切换搜索引擎。 该预测可以以各种方式使用,其中给出的示例在此给出。

    PREDICTING AND USING SEARCH ENGINE SWITCHING BEHAVIOR
    6.
    发明申请
    PREDICTING AND USING SEARCH ENGINE SWITCHING BEHAVIOR 有权
    预测和使用搜索引擎切换行为

    公开(公告)号:US20120271811A1

    公开(公告)日:2012-10-25

    申请号:US13465934

    申请日:2012-05-07

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30864

    摘要: Aspects of the subject matter described herein relate to predicting and using search engine switching behavior. In aspects, switching components receive a representation of user interactions with at least one browser. The switching components derive information from the representation that is useful in predicting whether a user will switch search engines. The derived information and information about a user's current interaction with a browser is then used by a switch predictor to predict whether the user will switch search engines. This prediction may be used in a variety of ways examples of which are given herein.

    摘要翻译: 本文描述的主题的方面涉及预测和使用搜索引擎切换行为。 在一些方面,切换组件接收与至少一个浏览器的用户交互的表示。 切换组件从表示中导出可用于预测用户是否切换搜索引擎的信息。 导出的信息和关于用户当前与浏览器的交互的信息然后由交换机预测器用于预测用户是否切换搜索引擎。 该预测可以以各种方式使用,其中给出的示例在此给出。

    SEARCH QUERY TRANSFORMATION USING DIRECT MANIPULATION
    7.
    发明申请
    SEARCH QUERY TRANSFORMATION USING DIRECT MANIPULATION 审中-公开
    使用直接操作搜索查询转换

    公开(公告)号:US20090144262A1

    公开(公告)日:2009-06-04

    申请号:US11949773

    申请日:2007-12-04

    IPC分类号: G06F17/30

    摘要: A search query transformation system and method for transforming and refining a search query are described. Embodiments of the system and method use various graphical components and controls. Direct manipulation ensures that the searcher is driving the changes in the search queries using a pointing device. Embodiments of the search query transformation system and method include a search query re-weighting user interface (UI) component for graphically adjusting and re-weighting weights of search terms, and a search query term replacement UI component for graphically replacing a search term in a query or add a synonym to the query. Embodiments of the system and method also include a search query suggestion component, which provides query revision recommendations to a searcher that are tailored to the direct manipulation query refinement interface.

    摘要翻译: 描述了一种用于转换和优化搜索查询的搜索查询转换系统和方法。 系统和方法的实施例使用各种图形组件和控件。 直接操作确保搜索者使用指点设备驱动搜索查询中的更改。 搜索查询变换系统和方法的实施例包括用于图形地调整和重新加权搜索项的权重的搜索查询重新加权用户界面(UI)组件,以及用于图形地替换搜索项中的搜索项的搜索查询术语替换UI组件 查询或添加查询的同义词。 该系统和方法的实施例还包括搜索查询建议组件,其向搜索者提供针对直接操纵查询细化界面定制的查询修订建议。

    SUGGESTING RELATED SEARCH QUERIES DURING WEB BROWSING
    8.
    发明申请
    SUGGESTING RELATED SEARCH QUERIES DURING WEB BROWSING 有权
    在网络浏览期间建议相关搜索查询

    公开(公告)号:US20110072033A1

    公开(公告)日:2011-03-24

    申请号:US12563176

    申请日:2009-09-21

    IPC分类号: G06F17/30 G06F3/048

    CPC分类号: G06F17/3064

    摘要: Described is the presenting of suggested queries for web pages that are not search engine results pages, based upon the URL and/or content of a currently displayed page. The suggested query set may be dynamically extracted (locally or remotely) based upon the content of the web page, and/or obtained from a data store of per-URL suggested query sets, e.g., generated from historical logs. Also described are various techniques for generating suggested queries, and user interface mechanisms that display and allow interaction with suggested queries.

    摘要翻译: 描述了基于当前显示页面的URL和/或内容呈现不是搜索引擎结果页面的网页的建议查询。 建议的查询集可以基于网页的内容动态地提取(本地或远程地),和/或从每个URL建议的查询集的数据存储获得,例如从历史记录生成的。 还描述了用于生成建议查询的各种技术,以及显示并允许与建议的查询进行交互的用户界面机制。

    Automatic Classification of Search Engine Quality
    9.
    发明申请
    Automatic Classification of Search Engine Quality 审中-公开
    搜索引擎质量的自动分类

    公开(公告)号:US20090327224A1

    公开(公告)日:2009-12-31

    申请号:US12146813

    申请日:2008-06-26

    IPC分类号: G06F17/30

    CPC分类号: G06F16/951

    摘要: Aspects of the subject matter described herein relate to predicting a best search engine to use for a given query. In aspects, a predictor may use various approaches to determine a best search engine for a given query. For example, the predictor may use features derived from the query itself, how well the query matches a result set returned by a search engine in response to the query, and/or information that compares the result sets returned by multiple search engines that are provided the query. In addition, other data such as user preferences, user interaction data, metadata attributes, and/or other data may be used in predicting a best search engine for a given query. In conjunction with making a prediction, the predictor may use a classifier that has been trained at a training facility.

    摘要翻译: 本文描述的主题的方面涉及预测用于给定查询的最佳搜索引擎。 在方面,预测器可以使用各种方法来确定给定查询的最佳搜索引擎。 例如,预测器可以使用从查询本身导出的特征,查询与搜索引擎响应于查询返回的结果集匹配的程度以及/或比较由多个搜索引擎返回的结果集的信息 查询。 此外,可以使用诸如用户偏好,用户交互数据,元数据属性和/或其他数据的其他数据来预测给定查询的最佳搜索引擎。 结合预测,预测器可以使用已经在训练设施训练的分类器。

    Exploratory Search Technique
    10.
    发明申请
    Exploratory Search Technique 审中-公开
    探索性搜索技术

    公开(公告)号:US20080319975A1

    公开(公告)日:2008-12-25

    申请号:US11767142

    申请日:2007-06-22

    IPC分类号: G06F17/30

    摘要: A technique for the creation of synthesized results from multi-query searches to provide more relevant information to the user in a more useful format and to discard or reduce in relevancy information that is not so useful. It allows a user to define the boundaries of the exploratory search before it starts or retroactively define which queries belong to the search. It can imply which queries belong to the search based on parameters in the queries or results. It also provides mechanisms for supporting exploratory searches including: saving/restoring search context; search-specific query history; a “keepers” bin for storing useful results; elimination of redundant results; re-ranking of common search results; integration of searching with navigation; pivoting on search results; collaboration among multiple searchers; user-generated content; generation of hypotheses; re-executing queries and executing standing queries; multi-monitor searching and automatic preparation of search summaries. User interfaces for conducting multi-query searches are also provided.

    摘要翻译: 一种用于从多查询搜索创建合成结果的技术,以更有用的格式向用户提供更多的相关信息,并丢弃或减少不那么有用的相关性信息。 它允许用户在开始之前定义探索性搜索的边界,或者追溯地定义哪些查询属于搜索。 它可以暗示哪些查询属于基于查询或结果中的参数的搜索。 它还提供支持探索性搜索的机制,包括:保存/恢复搜索环境; 搜索专用查询记录; 用于存储有用结果的“管理员”仓; 消除冗余结果; 共同搜索结果重新排序; 搜索与导航的整合; 在搜索结果上转动; 多个搜索者之间的协作; 用户生成内容; 一代假设; 重新执行查询并执行常规查询; 多监视搜索和自动准备搜索摘要。 还提供了用于进行多查询搜索的用户界面。