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11. 发明授权

US08478515B1 Collaborative driving directions 有权
标题翻译：合作驾驶方向
公开(公告)号：US08478515B1
公开(公告)日：2013-07-02
申请号：US11752896
申请日：2007-05-23
申请人： Trevor Foucher , Andrew R. Golding
发明人： Trevor Foucher , Andrew R. Golding
IPC分类号： G01C21/00
CPC分类号： G01C21/20 , G01C21/3641
摘要： Methods and systems for generating directions are disclosed. In an embodiment of the invention, there is a system that includes a human-provided directions module for receiving and processing human-provided directions, a database for storing human-provided directions processed by the human-provided directions module, and a directions generator for receiving a directions query from a client. In response to the query, the directions generator accesses the database, retrieves at least one human-provided direction, generates a set of directions based thereupon, and provides the set of generated directions to the client.
摘要翻译：公开了生成方向的方法和系统。在本发明的一个实施例中，存在一种系统，其包括用于接收和处理人为方向的人为方向模块，用于存储由人为指导模块处理的人为方向的指示的数据库，以及用于从客户端接收方向查询。响应于查询，方向生成器访问数据库，检索至少一个人为方向，生成一组基于此的方向，并向客户端提供一组生成的方向。

12. 发明授权

US08024337B1 Systems and methods for determining query similarity by query distribution comparison 有权
标题翻译：通过查询分配比较确定查询相似性的系统和方法
公开(公告)号：US08024337B1
公开(公告)日：2011-09-20
申请号：US10952482
申请日：2004-09-29
申请人： Shumeet Baluja , Doug Beeferman , Andrew R. Golding
发明人： Shumeet Baluja , Doug Beeferman , Andrew R. Golding
IPC分类号： G06F17/30
CPC分类号： G06F17/30424 , G06F17/30964
摘要： A system determines query similarity. The system determines a volume per unit time of an issued first query over a time period and determines a volume per unit time of issued other queries over the time period. The system compares the volume per unit time of each of the issued other queries to the volume per unit time of the issued first query. The system identifies ones of the issued other queries as similar to the first query based on the comparison.
摘要翻译：系统确定查询相似性。系统确定在一段时间内发出的第一个查询的每单位时间的卷数，并确定该时间段内发出的其他查询的每单位时间的卷数。系统将每个发出的其他查询的每单位时间的卷与发出的第一个查询的每单位时间的卷进行比较。基于比较，系统将发布的其他查询中的一个与第一个查询相似。

13. 发明授权

US07389307B2 Returning databases as search results 有权
标题翻译：返回数据库作为搜索结果
公开(公告)号：US07389307B2
公开(公告)日：2008-06-17
申请号：US09927015
申请日：2001-08-09
申请人： Andrew R. Golding
发明人： Andrew R. Golding
IPC分类号： G06F12/00 , G06F13/30
CPC分类号： G06F17/3064 , G06F17/30864 , Y10S707/917 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935 , Y10S707/99952
摘要： A method including enumerating plausible queries of a target database using query generation rules, and generating associated teasers for each of the enumerated queries using query matching rules.
摘要翻译：一种方法，包括使用查询生成规则枚举目标数据库的合理查询，以及使用查询匹配规则为每个枚举查询生成相关联的分组。

14. 发明授权

US07831387B2 Visually-oriented driving directions in digital mapping system 有权
标题翻译：数字地图系统视觉导向驾驶方向
公开(公告)号：US07831387B2
公开(公告)日：2010-11-09
申请号：US11181386
申请日：2005-07-13
申请人： Andrew R. Golding , Jens Eilstrup Rasmussen
发明人： Andrew R. Golding , Jens Eilstrup Rasmussen
IPC分类号： G01C21/32
CPC分类号： G01C21/3602 , G01C21/3644 , G01C21/3647
摘要： Digital mapping techniques are disclosed that provide visually-oriented information to the user, such as driving directions that include visual data points along the way of the driving route, thereby improving the user experience. The user may preview the route associated with the driving directions, where the preview is based on, for example, at least one of satellite images, storefront images, and heuristics and/or business listings.
摘要翻译：公开了向用户提供面向视觉信息的数字映射技术，例如包括沿着驾驶路线的视觉数据点的行驶方向，从而改善用户体验。用户可以预览与驾驶方向相关联的路线，其中预览基于例如卫星图像，店面图像和启发式和/或商业列表中的至少一个。

15. 发明申请

US20090192705A1 Adaptive and Personalized Navigation System 有权
标题翻译：自适应和个性化导航系统
公开(公告)号：US20090192705A1
公开(公告)日：2009-07-30
申请号：US12414461
申请日：2009-03-30
申请人： Andrew R. Golding , Jens Eilstrup Rasmussen
发明人： Andrew R. Golding , Jens Eilstrup Rasmussen
IPC分类号： G01C21/36
CPC分类号： G01C21/3492 , G01C21/3484 , G01C21/36
摘要： Adaptive navigation techniques are disclosed that allow navigation systems to learn from a user's personal driving history. As a user drives, models are developed and maintained to learn or otherwise capture the driver's personal driving habits and preferences. Example models include road speed, hazard, favored route, and disfavored route models. Other attributes can be used as well, whether based on the user's personal driving data or driving data aggregated from a number of users. The models can be learned under explicit conditions (e.g., time of day/week, driver ID) and/or under implicit conditions (e.g., weather, drivers urgency, as inferred from sensor data). Thus, models for a plurality of attributes can be learned, as well as one or more models for each attribute under a plurality of conditions. Attributes can be weighted according to user preference. The attribute weights and/or models can be used in selecting a best route for user.
摘要翻译：公开了允许导航系统从用户个人驾驶历史学习的自适应导航技术。作为用户驱动，模型被开发和维护，以学习或以其他方式捕获驾驶员的个人驾驶习惯和偏好。示例模型包括道路速度，危险，有利的路线和不利的路线模型。也可以使用其他属性，无论是基于用户的个人驾驶数据还是从多个用户聚合的驾驶数据。可以在明确的条件（例如，日/时间的时间，驾驶员ID）和/或在隐式条件（例如，天气，驾驶员紧急性，从传感器数据推断）下学习模型。因此，可以在多个条件下学习用于多个属性的模型以及每个属性的一个或多个模型。属性可以根据用户偏好加权。属性权重和/或模型可用于为用户选择最佳路由。

16. 发明授权

US07996345B2 Generating attribute models for use in adaptive navigation systems 有权
标题翻译：生成适用于自适应导航系统的属性模型
公开(公告)号：US07996345B2
公开(公告)日：2011-08-09
申请号：US12724073
申请日：2010-03-15
申请人： Andrew R. Golding , Jens Eilstrup Rasmussen
发明人： Andrew R. Golding , Jens Eilstrup Rasmussen
IPC分类号： G06N5/00
CPC分类号： G01C21/3484
摘要： Adaptive navigation techniques are disclosed that allow navigation systems to learn from a user's personal driving history. As a user drives, models are developed and maintained to learn or otherwise capture the driver's personal driving habits and preferences. Example models include road speed, hazard, favored route, and disfavored route models. Other attributes can be used as well, whether based on the user's personal driving data or driving data aggregated from a number of users. The models can be learned under explicit conditions (e.g., time of day/week, driver ID) and/or under implicit conditions (e.g., weather, drivers urgency, as inferred from sensor data). Thus, models for a plurality of attributes can be learned, as well as one or more models for each attribute under a plurality of conditions. Attributes can be weighted according to user preference. The attribute weights and/or models can be used in selecting a best route for user.
摘要翻译：公开了允许导航系统从用户个人驾驶历史学习的自适应导航技术。作为用户驱动，模型被开发和维护，以学习或以其他方式捕获驾驶员的个人驾驶习惯和偏好。示例模型包括道路速度，危险，有利的路线和不利的路线模型。也可以使用其他属性，无论是基于用户的个人驾驶数据还是从多个用户聚合的驾驶数据。可以在明确的条件（例如，日/时间的时间，驾驶员ID）和/或在隐式条件（例如，天气，驾驶员紧急性，从传感器数据推断）下学习模型。因此，可以在多个条件下学习用于多个属性的模型以及每个属性的一个或多个模型。属性可以根据用户偏好加权。属性权重和/或模型可用于为用户选择最佳路由。

17. 发明授权

US06640218B1 Estimating the usefulness of an item in a collection of information 有权
标题翻译：估计项目在信息集合中的有用性
公开(公告)号：US06640218B1
公开(公告)日：2003-10-28
申请号：US09587144
申请日：2000-06-02
申请人： Andrew R. Golding , Douglas H. Beeferman
发明人： Andrew R. Golding , Douglas H. Beeferman
IPC分类号： G06F1730
CPC分类号： G06F17/30867 , Y10S707/99932 , Y10S707/99933
摘要： A measure of the usefulness of an item in a collection of information with respect to a first set of one or more criteria is determined. A first measure of the usefulness of the item with respect to the first set of criteria is determined. A measure of the quality of the item is determined. A second measure of usefulness based on the first measure of usefulness and the measure of quality is determined.
摘要翻译：确定关于第一组一个或多个标准的信息集合中的项目的有用性的量度。确定项目相对于第一组标准的有用性的第一个度量。确定项目质量的度量。确定基于第一个有用性量度和质量度量的第二个有用度量。

18. 发明授权

US06192332B1 Adaptive electronic phrase book 失效
标题翻译：自适应电子短语书
公开(公告)号：US06192332B1
公开(公告)日：2001-02-20
申请号：US09056036
申请日：1998-04-06
申请人： Andrew R. Golding
发明人： Andrew R. Golding
IPC分类号： G10L1522
CPC分类号： G06F17/2836 , G06F15/025 , G06F17/2827
摘要： A system is provided which translates phrases from a source language to a target language, and which includes means for continually updating the set of phrases that are known and translatable by the system so as to ensure that the set of phrases accurately reflects the sentences that users most frequently ask to have translated.
摘要翻译：提供了将短语从源语言翻译成目标语言的系统，并且包括用于不断地更新由系统已知和可翻译的短语集合的手段，以便确保该组短语准确地反映用户的句子最经常要求翻译。

19. 发明授权

US5659771A System for spelling correction in which the context of a target word in a sentence is utilized to determine which of several possible words was intended 失效
标题翻译：用于拼写校正的系统，其中使用句子中的目标词的上下文来确定几个可能的词中的哪一个是想要的
公开(公告)号：US5659771A
公开(公告)日：1997-08-19
申请号：US444409
申请日：1995-05-19
申请人： Andrew R. Golding
发明人： Andrew R. Golding
IPC分类号： G06F17/21 , G06F17/27
CPC分类号： G06F17/273
摘要： A system is provided for spelling correction in which the context of a wordn a sentence is utilized to determine which of several alternative or possible words was intended. The probability that a particular alternative was the word that was intended is determined through Bayesian analysis utilizing multiple kinds of features of the context of the target word, such as the presence of certain characteristic words within some distance of the target word, or the presence of certain characteristic patterns of words and part-of-speech tags around the target word. The system successfully combines multiple types of features via Bayesian analysis through means for resolving egregious interdependencies among features. The system first recognizes the interdependencies, and then resolves them by deleting all but the strongest feature involved in each interdependency, thereby allowing it to make its decisions based on the strongest non-conflicting set of features. In addition, the robustness of the system's decisions is enhanced by the pruning or deletion from consideration of certain features, in one case by deleting features for which there is insufficient evidence in the training corpus to support reliable decision-making, and secondly by deleting features which are uninformative at discriminating among the alternative spellings of the target word under consideration.
摘要翻译：提供了用于拼写校正的系统，其中使用句子中的单词的上下文来确定几个替代或可能的单词中的哪一个是预期的。通过使用目标词的上下文的多种特征的贝叶斯分析（例如在目标词的某一距离内的某些特定词的存在）或者存在目标词的某个特定词的存在来确定特定替代方案是预期的词的概率目标词周围的单词和词性标签的某些特征模式。该系统通过贝叶斯分析成功地结合了多种类型的特征，通过解决特征之间严重相互依赖关系的方法。系统首先识别相互依赖关系，然后通过删除每个相互依赖关系中除了最强大功能之外的所有功能来解决这些问题，从而允许它根据最强的非冲突特征集进行决策。另外，通过考虑特定功能的修剪或删除来增强系统决策的鲁棒性，在一种情况下，通过删除训练语料库中没有足够证据来支持可靠决策的功能，其次通过删除功能在区分待审议目标词的替代拼写方面，这是不明智的。

20. 发明授权

US08682574B2 Adaptive and personalized navigation system 有权
标题翻译：自适应和个性化导航系统
公开(公告)号：US08682574B2
公开(公告)日：2014-03-25
申请号：US12414461
申请日：2009-03-30
申请人： Andrew R. Golding , Jens Eilstrup Rasmussen
发明人： Andrew R. Golding , Jens Eilstrup Rasmussen
IPC分类号： G01C21/00
CPC分类号： G01C21/3492 , G01C21/3484 , G01C21/36
摘要： Adaptive navigation techniques are disclosed that allow navigation systems to learn from a user's personal driving history. As a user drives, models are developed and maintained to learn or otherwise capture the driver's personal driving habits and preferences. Example models include road speed, hazard, favored route, and disfavored route models. Other attributes can be used as well, whether based on the user's personal driving data or driving data aggregated from a number of users. The models can be learned under explicit conditions (e.g., time of day/week, driver ID) and/or under implicit conditions (e.g., weather, drivers urgency, as inferred from sensor data). Thus, models for a plurality of attributes can be learned, as well as one or more models for each attribute under a plurality of conditions. Attributes can be weighted according to user preference. The attribute weights and/or models can be used in selecting a best route for user.
摘要翻译：公开了允许导航系统从用户个人驾驶历史学习的自适应导航技术。作为用户驱动，模型被开发和维护，以学习或以其他方式捕获驾驶员的个人驾驶习惯和偏好。示例模型包括道路速度，危险，有利的路线和不利的路线模型。也可以使用其他属性，无论是基于用户的个人驾驶数据还是从多个用户聚合的驾驶数据。可以在明确的条件（例如，日/时间的时间，驾驶员ID）和/或在隐式条件（例如，天气，驾驶员紧急性，从传感器数据推断）下学习模型。因此，可以在多个条件下学习用于多个属性的模型以及每个属性的一个或多个模型。属性可以根据用户偏好加权。属性权重和/或模型可用于为用户选择最佳路由。

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