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公开(公告)号：US20110072033A1
公开(公告)日：2011-03-24
申请号：US12563176
申请日：2009-09-21
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。
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公开(公告)号：US09015148B2
公开(公告)日：2015-04-21
申请号：US12563176
申请日：2009-09-21
IPC分类号： G06F17/30
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），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的查询的各种技术，以及显示并允许与建议的查询进行交互的用户界面机制。
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公开(公告)号：US20090112781A1
公开(公告)日：2009-04-30
申请号：US11959453
申请日：2007-12-18
申请人： Allison P. Heath , Ryen William White , Christopher J.C. Burges , Eric David Brill , Robert L. Rounthwaite
发明人： Allison P. Heath , Ryen William White , Christopher J.C. Burges , Eric David Brill , Robert L. Rounthwaite
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。
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公开(公告)号：US08185484B2
公开(公告)日：2012-05-22
申请号：US13154025
申请日：2011-06-06
申请人： Allison P Heath , Ryen William White , Christopher J. C. Burges , Eric David Brill , Robert L Rounthwaite
发明人： Allison P Heath , Ryen William White , Christopher J. C. Burges , Eric David Brill , Robert L Rounthwaite
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。
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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。
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公开(公告)号：US20080319975A1
公开(公告)日：2008-12-25
申请号：US11767142
申请日：2007-06-22
申请人： Daniel Scott Morris , Meredith June Morris , Gina Danielle Venolia , Ryen William White , Eric Horvitz , Steven M. Drucker
发明人： Daniel Scott Morris , Meredith June Morris , Gina Danielle Venolia , Ryen William White , Eric Horvitz , Steven M. Drucker
IPC分类号： G06F17/30
CPC分类号： G06F3/048 , G06F16/951 , G06F2203/04803
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。
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公开(公告)号：US09189550B2
公开(公告)日：2015-11-17
申请号：US13299089
申请日：2011-11-17
申请人： Timothy Edgar , Ambarish Chitnis , Ryen William White , Pavel Dmitriev , Rajanikanth Ageeru , Ovidiu Dan , Lin Tang
发明人： Timothy Edgar , Ambarish Chitnis , Ryen William White , Pavel Dmitriev , Rajanikanth Ageeru , Ovidiu Dan , Lin Tang
IPC分类号： G06F17/30
CPC分类号： G06F17/30864
摘要： Embodiment described herein are generally directed to a toolbar extension of a web browser that grabs a user's search engine query and suggests a refined search query known to yield better search results. The toolbar recognizes the web page the user is on as being associated with a search engine and retrieves the user's search query. The toolbar interacts with a refinement component on a server, and the refinement component determines a refined search query based on confidence scores assigned to data mined from a data center affiliated with different search engine (one related to the toolbar). The refined search query is returned and displayed in a search field of the toolbar, allowing the user to easily run the refined search on the different search engine.
摘要翻译： 本文描述的实施例通常涉及web浏览器的工具栏扩展，其抓取用户的搜索引擎查询并且建议已知可以产生更好搜索结果的精确搜索查询。 工具栏识别用户所在的网页与搜索引擎相关联并检索用户的搜索查询。 工具栏与服务器上的细化组件进行交互，并且细化组件基于分配给与不同搜索引擎关联的数据中心（与工具栏相关的数据中心）挖掘的数据的置信度得分来确定精确的搜索查询。 精确的搜索查询返回并显示在工具栏的搜索字段中，允许用户在不同的搜索引擎上轻松地运行精细搜索。
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公开(公告)号：US20130246412A1
公开(公告)日：2013-09-19
申请号：US13420591
申请日：2012-03-14
IPC分类号： G06F17/30
CPC分类号： G06F17/30867
摘要： Ranking search results using result repetition is described. In an embodiment, a set of results generated by a search engine is ranked or re-ranked based on whether any of the results were included in previous sets of results generated in response to earlier queries by the same user in one or more searching sessions. User behavior data, such as whether a user clicks on a result, skips a result or misses a result, is stored in real-time and the stored data is used in performing the ranking. In various examples, the ranking is performed using a machine-learning algorithm and various parameters, such as whether a result in a current set of results has previously been clicked, skipped or missed in the same session, are generated based on the user behavior data for the current session and input to the machine-learning algorithm.
摘要翻译： 描述使用结果重复排列搜索结果。 在一个实施例中，基于是否将任何结果包括在响应于同一用户在一个或多个搜索会话中的较早查询而生成的先前的结果集合中来对搜索引擎生成的一组结果进行排名或重新排序。 实时存储用户行为数据，例如用户是否点击结果，跳过结果或丢失结果，并且存储的数据用于执行排名。 在各种示例中，使用机器学习算法执行排名，并且基于用户行为数据生成各种参数，诸如是否先前在同一会话中点击，跳过或丢失了当前结果集中的结果 为当前会话并输入到机器学习算法。
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公开(公告)号：US07996400B2
公开(公告)日：2011-08-09
申请号：US11767489
申请日：2007-06-23
CPC分类号： G06F17/30867
摘要： A search expertise level system and method for determining a search expertise level of a search engine user and then using that information to improve the searcher's experience. The search expertise level system and method identifies the search expertise level of the searcher based on query behavior, post-query browsing behavior, and other behaviors of the searcher. One simple and important behavior that indicates a skilled searcher is the use of advanced query syntax and operators in the query. Once the search expertise level of a searcher is known, the search engine user interface can be modified and tailored to the needs of both skilled and novice searchers. The search expertise level also can be used to rank search results, such that search results for a novice searcher are ranked differently than those for a skilled searcher. The search expertise level also can be used in advertising and marketing.
摘要翻译： 用于确定搜索引擎用户的搜索专长级别，然后使用该信息来提高搜索者体验的搜索专业级别系统和方法。 搜索专家级别系统和方法基于查询行为，查询后浏览行为和搜索者的其他行为来识别搜索者的搜索专业级别。 指示熟练的搜索者的一个简单且重要的行为是在查询中使用高级查询语法和运算符。 一旦知道搜索者的搜索专长级别，搜索引擎用户界面可以根据熟练和新手搜索者的需要进行修改和调整。 搜索专家级别还可以用于对搜索结果进行排名，使得新手搜索者的搜索结果的排名与技术搜索者的搜索结果不同。 搜索专业水平也可用于广告和营销。
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公开(公告)号：US20080281817A1
公开(公告)日：2008-11-13
申请号：US11904103
申请日：2007-09-26
IPC分类号： G06F17/30
CPC分类号： G06F17/30867
摘要： The concept of variability pertains to whether users exhibit consistent search interaction patterns, for example, in terms of interaction flow or information targeted. Methods are provided for analyzing variability, and then adapting search-related functionality (e.g., processes and/or interfaces) to account for variability characteristics, for example, to account for predictable search interaction behavior.
摘要翻译： 可变性的概念涉及用户是否展示一致的搜索交互模式，例如，在交互流或信息目标方面。 提供了用于分析变异性的方法，然后使搜索相关功能（例如，过程和/或接口）适应于变异性特征，例如考虑到可预测的搜索交互行为。
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