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1. 发明授权

US07107254B1 Probablistic models and methods for combining multiple content classifiers 有权
标题翻译：用于组合多个内容分类器的概念模型和方法
公开(公告)号：US07107254B1
公开(公告)日：2006-09-12
申请号：US09850172
申请日：2001-05-07
申请人： Susan T. Dumais , Eric J. Horvitz , Paul Nathan Bennett
发明人： Susan T. Dumais , Eric J. Horvitz , Paul Nathan Bennett
IPC分类号： G06N5/02
CPC分类号： G06N7/005
摘要： The invention applies a probabilistic approach to combining evidence regarding the correct classification of items. Training data and machine learning techniques are used to construct probabilistic dependency models that effectively utilize evidence. The evidence includes the outputs of one or more classifiers and optionally one or more reliability indicators. The reliability indicators are, in a broad sense, attributes of the items being classified. These attributes can include characteristics of an item, source of an item, and meta-level outputs of classifiers applied to the item. The resulting models include meta-classifiers, which combine evidence from two or more classifiers, and tuned classifiers, which use reliability indicators to inform the interpretation of classical classifier outputs. The invention also provides systems and methods for identifying new reliability indicators.
摘要翻译：本发明应用概率方法来合并关于项目正确分类的证据。训练数据和机器学习技术用于构建有效利用证据的概率依赖模型。证据包括一个或多个分类器的输出和可选的一个或多个可靠性指标。在广义上，可靠性指标是被归类的物品的属性。这些属性可以包括项目的特征，项目的来源以及应用于项目的分类器的元级输出。所得到的模型包括组合来自两个或更多个分类器的证据的分类器和使用可靠性指标来通知经典分类器输出的解释的调谐分类器。本发明还提供用于识别新的可靠性指标的系统和方法。

2. 发明授权

US08626136B2 Architecture for user- and context-specific prefetching and caching of information on portable devices 有权
标题翻译：用于便携式设备上的用户和上下文相关预取和缓存信息的体系结构
公开(公告)号：US08626136B2
公开(公告)日：2014-01-07
申请号：US11427755
申请日：2006-06-29
申请人： Raymond E. Ozzie , Eric J. Horvitz , William H. Gates, III , Joshua T. Goodman , Susan T. Dumais , Gary W. Flake , Trenholme J. Griffin , Xuedong D. Huang , Oliver Hurst-Hiller , Christopher A Meek
发明人： Raymond E. Ozzie , Eric J. Horvitz , William H. Gates, III , Joshua T. Goodman , Susan T. Dumais , Gary W. Flake , Trenholme J. Griffin , Xuedong D. Huang , Oliver Hurst-Hiller , Christopher A Meek
IPC分类号： H04M3/42 , H04L29/06 , H04W74/00 , G06F15/16 , G06F3/033
CPC分类号： G06F17/30867 , H04W4/02 , H04W4/18
摘要： Content management architecture for a portable wireless device. Caching and fetching techniques are provided to improve content handling for portable devices such as cellular telephones and portable computers. A search component automatically performs searches as a background process, and potentially desired content is received and cached by a content storing component to be available in the future when and if needed, mitigating latency associated with slow download speeds, refresh rates, and other system and/or network impediments. Content from background search results can be trickled into the device as part of the background process so as not to burden system resources for other processes. As part of memory management, aged and/or low priority or low interest content can be selectively removed or archived to increase available cache or memory space, as well as to maintain relevant content within the device. A presentation component facilitates presentation of the pre-stored content.
摘要翻译：便携式无线设备的内容管理架构。提供缓存和提取技术以改进便携式设备（例如蜂窝电话和便携式计算机）的内容处理。搜索组件自动执行搜索作为后台进程，并且可能期望的内容被内容存储组件接收和缓存，以便将来在需要时可用，减轻与慢下载速度，刷新率和其他系统相关联的延迟，以及 /或网络障碍。来自后台搜索结果的内容可以作为后台进程的一部分进入设备，以免对其他进程造成系统资源的负担。作为内存管理的一部分，老化和/或低优先级或低兴趣内容可以被选择性地删除或归档以增加可用的高速缓存或存储器空间，以及维护设备内的相关内容。演示组件便于显示预存的内容。

3. 发明授权

US07822762B2 Entity-specific search model 有权
标题翻译：实体特定搜索模型
公开(公告)号：US07822762B2
公开(公告)日：2010-10-26
申请号：US11427311
申请日：2006-06-28
申请人： Christopher D. Payne , Eric J. Horvitz , Alexander G. Gounares , Susan T. Dumais , Kyle G. Peltonen , Gary W. Flake , Xuedong D. Huang , William H. Gates, III , John C. Platt , Oliver Hurst-Hiller , Joshua T. Goodman , Christopher A. Meek , Ramez Naam , Raymond E Ozzie , Eric D. Brill
发明人： Christopher D. Payne , Eric J. Horvitz , Alexander G. Gounares , Susan T. Dumais , Kyle G. Peltonen , Gary W. Flake , Xuedong D. Huang , William H. Gates, III , John C. Platt , Oliver Hurst-Hiller , Joshua T. Goodman , Christopher A. Meek , Ramez Naam , Raymond E Ozzie , Eric D. Brill
IPC分类号： G06F7/001
CPC分类号： G06F17/30967 , G06F17/30964
摘要： A system that employs an explicitly and/or implicitly trained model in order to return entity-specific computer-based search results is provided. The innovation can provide for a customized search model that focuses search in connection with achieving information that is meaningful with respect to goals of an entity. The model can be used to modify a search query in accordance with a goal of the entity or to generate the search query thereby returning meaningful and/or targeted results to the user. The system can automatically gather entity-related data thereafter determining or inferring a goal as well as training the model. Moreover, the system can selectively configure (e.g., order, rank, filter) and render results to a user based upon the model.
摘要翻译：提供了一种采用明确和/或隐含训练的模型以返回基于实体的基于计算机的搜索结果的系统。该创新可以提供定制的搜索模型，其将搜索重点与获得关于实体目标有意义的信息相关联。该模型可以用于根据实体的目标修改搜索查询，或者生成搜索查询，从而向用户返回有意义和/或有针对性的结果。系统可以自动收集与实体有关的数据，然后确定或推断目标以及训练模型。此外，系统可以基于模型选择性地配置（例如，排序，排序，过滤）并将结果呈现给用户。

4. 发明授权

US07761464B2 Diversifying search results for improved search and personalization 失效
标题翻译：多样化搜索结果，以改善搜索和个性化
公开(公告)号：US07761464B2
公开(公告)日：2010-07-20
申请号：US11425074
申请日：2006-06-19
申请人： Filip Radlinski , Susan T. Dumais , Eric J. Horvitz
发明人： Filip Radlinski , Susan T. Dumais , Eric J. Horvitz
IPC分类号： G06F17/30
CPC分类号： G06F17/30867
摘要： The claimed subject matter provides systems and/or methods that facilitate diversifying search results to improve searching and/or personalized searching. An interface component can receive a query. Additionally, a result diversification component can modify diversity of a set of search results obtained by a search engine in response to a query based at least in part upon one or more dimensions of diversity. The dimensions of diversity can include document topic, document type, document genre, domain of document, document age, location associated with the document, commercial characteristics of the document, user intent, and the like.
摘要翻译：所要求保护的主题提供促进多样化搜索结果以改进搜索和/或个性化搜索的系统和/或方法。一个接口组件可以接收一个查询。另外，结果多样化组件可以至少部分地基于分集的一个或多个维度来修改由搜索引擎获得的一组搜索结果的多样性，以响应于查询。多样性的维度可以包括文档主题，文档类型，文档类型，文档领域，文档年龄，与文档相关联的位置，文档的商业特征，用户意图等。

5. 发明申请

US20090327270A1 Using Variation in User Interest to Enhance the Search Experience 审中-公开
标题翻译：使用用户兴趣的变化来增强搜索体验
公开(公告)号：US20090327270A1
公开(公告)日：2009-12-31
申请号：US12163561
申请日：2008-06-27
申请人： Jamie B. Teevan , Susan T. Dumais , Daniel J. Liebling , Eric J. Horvitz
发明人： Jamie B. Teevan , Susan T. Dumais , Daniel J. Liebling , Eric J. Horvitz
IPC分类号： G06F17/30
CPC分类号： G06F16/337 , G06F16/9535
摘要： Searches can be enhanced by custom-tailoring results based on a consideration of the variability of the goals of a search given a query. In an example embodiment, a system to enhance searching includes a search interface, a search-goal variability determiner, and a search experience enhancer. The search interface accepts a query from a user as input for a search. The variability determiner determines the variability in user interest (e.g., goals) for the query. The measure of variability in user interest may reflect the degree of variation in the goals of different users or groups of users for the query. The search experience enhancer enhances a search experience for the user responsive to the variability in user interest (e.g., in terms of search goals).
摘要翻译：可以通过根据考虑到给定查询的搜索目标的可变性进行定制结果来增强搜索。在示例实施例中，用于增强搜索的系统包括搜索界面，搜索目标变异性确定器和搜索体验增强器。搜索界面接受来自用户的查询作为搜索的输入。可变性确定器确定用户对查询的兴趣变化（例如，目标）。用户兴趣的可变性度量可能反映了查询的不同用户或用户组的目标的变化程度。搜索体验增强器响应于用户兴趣的变化（例如，在搜索目标方面）增强了用户的搜索体验。

6. 发明申请

US20080313119A1 LEARNING AND REASONING FROM WEB PROJECTIONS 有权
标题翻译：从网络投影学习和推理
公开(公告)号：US20080313119A1
公开(公告)日：2008-12-18
申请号：US11763719
申请日：2007-06-15
申请人： Jurij Leskovec , Susan T. Dumais , Eric J. Horvitz
发明人： Jurij Leskovec , Susan T. Dumais , Eric J. Horvitz
IPC分类号： G06F17/00
CPC分类号： G06F17/30864 , G06F17/30722
摘要： A system and method that facilitates and effectuates making an inference related to objects of interest within a context. A web projection component can generate sub graphs by projecting objects o interest onto a web graph representing a superset or partially overlapping set of objects to the objects of interest. An inference component can provide inferences relating to the quality of the objects of interest, adjustments to the context, and patterns recognized from graphical properties of the sub graphs.
摘要翻译：促进和实现与上下文中的感兴趣对象相关的推理的系统和方法。网络投影组件可以通过将感兴趣的对象投射到表示超大体或部分重叠的对象集合到所关注的对象的网络图上来生成子图。推理组件可以提供与感兴趣对象的质量，上下文的调整以及从子图的图形属性识别的模式的推论。

7. 发明授权

US07225187B2 Systems and methods for performing background queries from content and activity 有权
标题翻译：用于从内容和活动执行后台查询的系统和方法
公开(公告)号：US07225187B2
公开(公告)日：2007-05-29
申请号：US10827920
申请日：2004-04-20
申请人： Susan T. Dumais , Eric J. Horvitz , Edward B. Cutrell , Raman K. Sarin
发明人： Susan T. Dumais , Eric J. Horvitz , Edward B. Cutrell , Raman K. Sarin
IPC分类号： G06F17/30
CPC分类号： G06F17/30867 , G06F17/30613 , Y10S707/99935
摘要： Most information retrieval systems start with a user's explicit query. Systems and methods are provided that perform implicit or background queries to one or more information sources based on the ongoing activities of users. The methods provide users with the results of such automated contextualized searches in an unobtrusive manner. In one aspect, implicit queries are run when users are reading, working on or composing an application. Queries can be automatically generated by analyzing an application, and results can be presented in a variety of peripheral display configurations, including a small pane adjacent to a current window to provide peripheral awareness of related information that is automatically determined from existing user context and/or related content from the application. The invention includes methods for building models that predict the value of different queries, and of the results generated by such queries, based on logged data, and for using such models to control query formulation and to mediate decisions about displaying the results of implicit queries.
摘要翻译：大多数信息检索系统从用户的显式查询开始。提供了系统和方法，其基于用户正在进行的活动，对一个或多个信息源执行隐式或后台查询。这些方法以不引人注目的方式为用户提供了这种自动化的语境化搜索的结果。在一个方面，当用户阅读，处理或撰写应用程序时，会运行隐式查询。可以通过分析应用程序自动生成查询，结果可以呈现在各种外围显示配置中，包括与当前窗口相邻的小窗格，以提供从现有用户上下文自动确定的相关信息的周边感知和/或相关内容从应用程序。本发明包括用于构建基于记录数据来预测不同查询的价值以及由这些查询产生的结果的模型的方法，以及使用这些模型来控制查询表达并调解关于显示隐式查询的结果的决策。

8. 发明授权

US07162473B2 Method and system for usage analyzer that determines user accessed sources, indexes data subsets, and associated metadata, processing implicit queries based on potential interest to users 有权
标题翻译：使用分析器的方法和系统，用于确定用户访问的源，索引数据子集和相关联的元数据，根据用户的潜在兴趣处理隐式查询
公开(公告)号：US07162473B2
公开(公告)日：2007-01-09
申请号：US10607228
申请日：2003-06-26
申请人： Susan T. Dumais , Eric J. Horvitz , Edward B. Cutrell , Jonathan J. Cadiz , Gavin Jancke , Raman K. Sarin , Daniel C. Robbins , Anoop Gupta , George G. Robertson , Meredith J. Ringel , Jeremy Goecks
发明人： Susan T. Dumais , Eric J. Horvitz , Edward B. Cutrell , Jonathan J. Cadiz , Gavin Jancke , Raman K. Sarin , Daniel C. Robbins , Anoop Gupta , George G. Robertson , Meredith J. Ringel , Jeremy Goecks
IPC分类号： G06F17/30 , G06F17/00
CPC分类号： G06F17/30613 , G06F17/30867 , Y10S707/99933 , Y10S707/99935 , Y10S707/99943 , Y10S715/963 , Y10S715/968
摘要： The present invention relates to systems and methods providing content-access-based information retrieval. Information items from a plurality of disparate information sources that have been previously accessed or considered are automatically indexed in a data store, whereby a multifaceted user interface is provided to efficiently retrieve the items in a cognitively relevant manner. Various display output arrangements are possible for the retrieved information items including timeline visualizations and multidimensional grid visualizations. Input options include explicit, implicit, and standing queries for retrieving data along with explicit and implicit tagging of items for ease of recall and retrieval. In one aspect, an automated system is provided that facilitates concurrent searching across a plurality of information sources. A usage analyzer determines user accessed items and a content analyzer stores subsets of data corresponding to the items, wherein at least two of the items are associated with disparate information sources, respectively. An automated indexing component indexes the data subsets according to past data access patterns as determined by the usage analyzer. A search component responds to a search query, initiates a search across the indexed data, and outputs links to locations of a subset and/or provides sparse representations of the subset.
摘要翻译：本发明涉及提供基于内容访问的信息检索的系统和方法。来自先前访问或考虑的多个不同信息源的信息项目被自动索引到数据存储器中，由此提供多方面用户界面以有效地以认知相关的方式检索项目。对于所检索的信息项，包括时间线可视化和多维网格可视化，各种显示输出布置是可能的。输入选项包括用于检索数据的显式，隐式和常规查询，以及容易召回和检索的项目的显式和隐式标记。在一个方面，提供了一种便于在多个信息源上并行搜索的自动化系统。使用分析器确定用户访问的项目，并且内容分析器存储对应于项目的数据子集，其中至少两个项目分别与不同的信息源相关联。自动索引组件根据使用分析器确定的过去的数据访问模式来索引数据子集。搜索组件响应搜索查询，在索引的数据上发起搜索，并且输出到子集的位置的链接和/或提供子集的稀疏表示。

9. 发明授权

US08725567B2 Targeted advertising in brick-and-mortar establishments 有权
标题翻译：实体广告业务
公开(公告)号：US08725567B2
公开(公告)日：2014-05-13
申请号：US11427761
申请日：2006-06-29
申请人： Xuedong D. Huang , William H. Gates, III , Eric J. Horvitz , Joshua T. Goodman , Bradly A. Brunell , Susan T. Dumais , Gary W. Flake , Trenholme J. Griffin , Oliver Hurst-Hiller
发明人： Xuedong D. Huang , William H. Gates, III , Eric J. Horvitz , Joshua T. Goodman , Bradly A. Brunell , Susan T. Dumais , Gary W. Flake , Trenholme J. Griffin , Oliver Hurst-Hiller
IPC分类号： G06Q30/00
CPC分类号： G06Q30/02 , G06Q30/0269 , G06Q30/0271
摘要： Architecture for presenting advertisements in realtime in retail establishments. A sensor component includes sensors for collecting information about a customer or group of customers as they move through the store. The sensors can include capability for image processing, audio processing, light sensing, velocity sensing, direction sensing, proximity sensing, face recognition, pose recognition, transaction recognition, and biometric sensing, for example. A customer component analyzes the information and generates a profile about the customer. Advertisements are selected for presentation that target the customers as they walk in proximity of a presentation system of the store. An advertisement component facilitates dynamic presentation of a targeted advertisement to the individual as a function of the profile. The customer component can infer information during analysis using machine learning and reasoning.
摘要翻译：在零售店内实时呈现广告的建筑。传感器组件包括传感器，用于在客户或客户群经过商店移动时收集有关客户或客户群的信息。例如，传感器可以包括用于图像处理，音频处理，光感测，速度感测，方向感测，接近感测，面部识别，姿态识别，事务识别和生物测量感测的能力。客户组件分析信息并生成有关客户的配置文件。广告被选择用于呈现，当客户在商店的呈现系统附近走动时将其定位成客户。广告组件有助于作为简档的函数向个人动态地呈现目标广告。客户组件可以使用机器学习和推理来分析分析期间的信息。

10. 发明申请

US20130091128A1 Time-Aware Ranking Adapted to a Search Engine Application 有权
标题翻译：适应搜索引擎应用程序的时间意识排名
公开(公告)号：US20130091128A1
公开(公告)日：2013-04-11
申请号：US13270690
申请日：2011-10-11
申请人： Kira Radinsky , Susan T. Dumais , Krysta M. Svore , Jaime Brooks Teevan , Eric J. Horvitz
发明人： Kira Radinsky , Susan T. Dumais , Krysta M. Svore , Jaime Brooks Teevan , Eric J. Horvitz
IPC分类号： G06F17/30
CPC分类号： G06F17/3053 , G06F17/30129 , G06F17/30864 , G06F17/30887 , G06N5/045 , G06N99/005
摘要： Techniques provide time-aware ranking, such as ranking of information, files or URL (uniform resource locator) links. For example, time-aware modeling assists in determining user intent of a query to a search engine. In response to the query, results are ranked in a time-aware manner to better match the user intent. The ranking may model query, URL and query-URL pair behavior over time to create time-aware query, URL and query-URL pair models, respectively. Such models may predict behavior of a query-URL pair, such as frequency and timing of clicks to the URL of the pair when the query of the pair is posed to the search engine. Results of a query may be ranked by predicted query-URL behavior. Once ranked, the results may be sent to the user in response to the query.
摘要翻译：技术提供时间感知排名，例如信息排名，文件或URL（统一资源定位符）链接。例如，时间感知建模有助于确定对搜索引擎的查询的用户意图。响应于查询，结果以时间感知的方式排列，以更好地匹配用户意图。排名可能会对查询，URL和查询 - URL对行为进行模拟，以分别创建时间感知查询，URL和查询 - URL对模型。这样的模型可以预测查询 - URL对的行为，例如当该对的查询提供给搜索引擎时，对对方的URL的点击的频率和时间。查询结果可能会按预测的查询网址行为进行排名。一旦排序，结果可能会发送给用户以响应查询。

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