公开(公告)号：US09015148B2

公开(公告)日：2015-04-21

申请号：US12563176

申请日：2009-09-21

申请人： Ryen William White ,  Robert Rounthwaite ,  Silviu-Petru Cucerzan

发明人： Ryen William White ,  Robert Rounthwaite ,  Silviu-Petru Cucerzan

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。

公开(公告)号：US20130246383A1

公开(公告)日：2013-09-19

申请号：US13423243

申请日：2012-03-18

申请人： Ryen William White ,  Georg LW Buscher ,  Susan T. Dumais ,  Jeff Huang ,  Kuansan Wang ,  Abdigani M. Diriye

发明人： Ryen William White ,  Georg LW Buscher ,  Susan T. Dumais ,  Jeff Huang ,  Kuansan Wang ,  Abdigani M. Diriye

IPC分类号： G06F17/30

CPC分类号： G06F16/9535

摘要： The subject disclosure is directed towards using cursor activity with respect to search result pages to enhance search engine operation. Data associated with the cursor activity may be translated into cursor events representing user interactions with a search result page. Based on the cursor events, user behavior indicia may be identified via a user intent prediction model corresponding to various search result page related user actions. The user behavior indicia and/or the user intent prediction model may be used to produce search result pages for current search queries from the user.

摘要翻译： 本发明涉及使用关于搜索结果页面的光标活动来增强搜索引擎的操作。 与游标活动相关联的数据可以被转换成表示用户与搜索结果页面的交互的游标事件。 基于光标事件，可以经由与各种搜索结果页面相关的用户动作对应的用户意图预测模型来识别用户行为标记。 用户行为标记和/或用户意图预测模型可以用于产生来自用户的当前搜索查询的搜索结果页面。

公开(公告)号：US20090006358A1

公开(公告)日：2009-01-01

申请号：US11769673

申请日：2007-06-27

申请人： Daniel Scott Morris ,  Gina Danielle Venolia ,  Steven M. Drucker ,  Ryen William White ,  Meredith June Morris

发明人： Daniel Scott Morris ,  Gina Danielle Venolia ,  Steven M. Drucker ,  Ryen William White ,  Meredith June Morris

IPC分类号： G06F7/08 ,  G06F17/30

CPC分类号： G06F16/338 ,  G06F16/3338 ,  G06F16/951

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 can determine 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.

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。 它可以根据查询或结果中的参数确定哪些查询属于搜索。 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。

公开(公告)号：US20080319976A1

公开(公告)日：2008-12-25

申请号：US11767489

申请日：2007-06-23

申请人： Daniel Scott Morris ,  Ryen William White

发明人： Daniel Scott Morris ,  Ryen William White

IPC分类号： G06F17/30

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。