公开(公告)号：US08161053B1

公开(公告)日：2012-04-17

申请号：US10814317

申请日：2004-03-31

Applicant: Omar Habib Khan ,  Stephen R. Lawrence

Inventor： Omar Habib Khan ,  Stephen R. Lawrence

IPC: G06F17/30

CPC classification number: G06F17/30675 ,  G06F17/30864

Abstract: Systems and methods for eliminating duplicate events are described. In one embodiment, an event is captured, wherein the event comprises a user interaction with an article on a client device and it is determined whether the event is a duplicate of a stored event.

Abstract translation: 描述了消除重复事件的系统和方法。 在一个实施例中，捕获事件，其中事件包括与客户端设备上的物品的用户交互，并且确定事件是否是存储的事件的副本。

公开(公告)号：US08099407B2

公开(公告)日：2012-01-17

申请号：US10813895

申请日：2004-03-31

Applicant: David Benjamin Auerbach ,  Stephen R. Lawrence ,  David Marmaros

Inventor： David Benjamin Auerbach ,  Stephen R. Lawrence ,  David Marmaros

IPC: G06F17/30

CPC classification number: G06F17/30864 ,  G06F17/30038 ,  G06F17/30047 ,  G06F17/30067 ,  G06F17/30997

Abstract: Systems and methods for processing media files are described. In one embodiment, one or more events are captured having associated event data and associated with a client device, wherein each event is associated with an article and at least one of the articles is a media file, wherein at least one of the events is captured in real time upon the occurrence of the event, at least some of the event data and articles associated with the events are indexed and stored, a search query is received, and the at least one media file is determined as relevant to the search query.

Abstract translation: 描述用于处理媒体文件的系统和方法。 在一个实施例中，捕获具有相关联的事件数据并与客户端设备相关联的一个或多个事件，其中每个事件与物品相关联，并且至少一个物品是媒体文件，其中捕获至少一个事件 在事件发生时实时地，将与事件相关联的事件数据和文章中的至少一些索引并存储，接收到搜索查询，并且确定至少一个媒体文件与搜索查询相关。

公开(公告)号：US08060405B1

公开(公告)日：2011-11-15

申请号：US11026681

申请日：2004-12-31

Applicant: Stephen R. Lawrence

Inventor： Stephen R. Lawrence

IPC: G06Q30/00 ,  G05B19/418

CPC classification number: G06Q30/02 ,  G06Q30/0256

Abstract: Methods and systems for correlating connections between users and links between articles to identify search and/or ad spamming are disclosed. Social networks can be used to identify connections between users for correlation with links between articles, which can be identified through searches of article contents and/or back tracing accesses to articles. One disclosed method comprises identifying first associations between a plurality of users in a network of associated users; identifying second associations between one or more users and one or more articles; identifying third associations between at least some of the articles or between some of the users and access to some of the articles; and determining at least one of the third associations is correlated with one or more of the first associations.

Abstract translation: 公开了用于将用户之间的连接与文章之间的链接相关联以识别搜索和/或广告垃圾邮件的方法和系统。 可以使用社交网络来识别用户之间的连接，以便与文章之间的链接相关联，这可以通过搜索文章内容和/或对文章的后续跟踪访问来识别。 一种公开的方法包括识别关联用户的网络中的多个用户之间的第一关联; 识别一个或多个用户与一个或多个文章之间的第二关联; 识别至少一些文章之间或某些用户之间的第三关联以及对某些文章的访问; 并且确定所述第三关联中的至少一个与所述第一关联中的一个或多个关联。

公开(公告)号：US07941439B1

公开(公告)日：2011-05-10

申请号：US10814773

申请日：2004-03-31

Applicant: Stephen R. Lawrence ,  Christopher M. Prince ,  Mihai Florin Ionescu

Inventor： Stephen R. Lawrence ,  Christopher M. Prince ,  Mihai Florin Ionescu

IPC: G06F7/00

CPC classification number: G06F11/302 ,  G06F11/3041 ,  G06F11/3055 ,  G06F11/3072 ,  G06F11/3079 ,  G06F11/32 ,  G06F17/30864

Abstract: Systems and methods for information capture from articles are described. In one embodiment, a plurality of keystrokes associated with an application is received, each keystroke is processed to determine an associated action forming a plurality of associated actions, and an event is determined based at least in part on the plurality of associated actions.

Abstract translation: 描述了从文章中获取信息的系统和方法。 在一个实施例中，接收与应用相关联的多个键击，每个按键被处理以确定形成多个相关联的动作的相关联的动作，并且至少部分地基于多个相关联的动作来确定事件。

公开(公告)号：US07437353B2

公开(公告)日：2008-10-14

申请号：US10749998

申请日：2003-12-31

Applicant: David Marmaros ,  Nikhil Bhatta ,  Stephen R. Lawrence

Inventor： David Marmaros ,  Nikhil Bhatta ,  Stephen R. Lawrence

IPC: G06F17/30

CPC classification number: G06F17/30864 ,  Y10S707/99933 ,  Y10S707/99934 ,  Y10S707/99935

Abstract: Systems and methods for the unification of search results are described. In one described system, a program, such as a search engine, executing on a client device receives a search query. The search engine executes the search on a local index and receives a first result set, which is relevant to the query entered by the user. The search query is also executed against a global index. The search engine receives a second result set from the global index. Once the search engine has received both result sets, the search engine combines the result sets to create a combined result set. The search engine may cause the combined result set to be displayed or otherwise output to a user.

Abstract translation: 描述了统一搜索结果的系统和方法。 在一个描述的系统中，在客户端设备上执行的诸如搜索引擎的程序接收搜索查询。 搜索引擎在本地索引上执行搜索，并且接收与用户输入的查询相关的第一结果集。 搜索查询也针对全局索引执行。 搜索引擎从全局索引接收第二个结果集。 一旦搜索引擎收到两个结果集，搜索引擎将结果集合合并创建一个组合结果集。 搜索引擎可能会使组合结果集显示或以其他方式输出给用户。

公开(公告)号：US07295977B2

公开(公告)日：2007-11-13

申请号：US09939954

申请日：2001-08-27

Applicant: Brian Whitman ,  Gary W. Flake ,  Stephen R. Lawrence

Inventor： Brian Whitman ,  Gary W. Flake ,  Stephen R. Lawrence

IPC: G10L15/16 ,  G10H7/10

CPC classification number: G10L17/02 ,  G10L17/26 ,  G10L25/30

Abstract: The method of the present invention utilizes machine-learning techniques, particularly Support Vector Machines in combination with a neural network, to process a unique machine-learning enabled representation of the audio bitstream. Using this method, a classifying machine is able to autonomously detect characteristics of a piece of music, such as the artist or genre, and classify it accordingly. The method includes transforming digital time-domain representation of music into a frequency-domain representation, then dividing that frequency data into time slices, and compressing it into frequency bands to form multiple learning representations of each song. The learning representations that result are processed by a group of Support Vector Machines, then by a neural network, both previously trained to distinguish among a given set of characteristics, to determine the classification.

Abstract translation: 本发明的方法利用机器学习技术，特别是与神经网络相结合的支持向量机来处理独特的机器学习使能的音频比特流表示。 使用这种方法，分类机能够自主地检测诸如艺术家或流派之类的音乐的特征，并相应地对其进行分类。 该方法包括将音乐的数字时域表示变换为频域表示，然后将该频率数据划分为时间片，并将其压缩为频带，以形成每首歌曲的多个学习表示。 结果的学习表示由一组支持向量机处理，然后由神经网络处理，两者都被训练以区分给定的一组特征，以确定分类。

公开(公告)号：US06289342B1

公开(公告)日：2001-09-11

申请号：US09082071

申请日：1998-05-20

Applicant: Stephen R. Lawrence ,  C. Lee Giles ,  Kurt D. Bollacker

Inventor： Stephen R. Lawrence ,  C. Lee Giles ,  Kurt D. Bollacker

IPC: G06F1730

CPC classification number: G06F17/30728 ,  G06F17/30864 ,  Y10S707/99932 ,  Y10S707/99933 ,  Y10S707/99935 ,  Y10S707/99936 ,  Y10S707/99937 ,  Y10S707/99942 ,  Y10S707/99943

Abstract: An autonomous citation indexing system which can be used as an assistant agent automates and enhances the task of finding publications in electronic form, including publications located on the world wide web. The system parses citations from papers and identifies citations to the same paper that may differ in syntax. The system also extracts and provides the context of citations to a given paper, allowing a researcher to determine what is published in other papers about a given paper. Common citations and word or string vector distance similarity are used to find related articles in a search.

Abstract translation: 可以用作助理人员的自主引用索引系统自动化并增强了以电子形式查找出版物的任务，包括位于万维网上的出版物。 系统从论文中解析引文，并将引文标识到可能在语法上不同的同一篇论文。 该系统还提供并提供引用的上下文给给定的论文，允许研究人员确定在其他论文中发表的关于给定论文的内容。 常用的引文和词或字符串向量距离相似性用于查找搜索中的相关文章。

公开(公告)号：US09672232B1

公开(公告)日：2017-06-06

申请号：US13613193

申请日：2012-09-13

Applicant: David Benjamin Auerbach ,  Omar Habib Khan ,  Stephen R. Lawrence

Inventor： David Benjamin Auerbach ,  Omar Habib Khan ,  Stephen R. Lawrence

IPC: G06F17/30

CPC classification number: G06F17/30321 ,  G06F17/30864

Abstract: Methods and systems are provided for selectively storing event data. In one described method, an event associated with an article is captured. The captured event can comprise event data. The method further comprises evaluating the event for satisfaction of a criterion. If the event satisfies the criterion, it is indexed.

公开(公告)号：US08954420B1

公开(公告)日：2015-02-10

申请号：US10814357

申请日：2004-03-31

Applicant: Omar Habib Khan ,  Stephen R. Lawrence

Inventor： Omar Habib Khan ,  Stephen R. Lawrence

IPC: G06F17/30

CPC classification number: G06F17/30867

Abstract: Systems and methods that improve client-side searching are described. In one aspect, a system and method for identifying an article, and determining a ranking score for the article based at least in part on duration data, access data, URL data, or trajectory data associated with the article is described.

Abstract translation: 描述了改进客户端搜索的系统和方法。 一方面，描述了用于识别物品的系统和方法，以及至少部分地基于持续时间数据，访问数据，URL数据或与该物品相关联的轨迹数据来确定物品的排名得分。

公开(公告)号：US08521591B1

公开(公告)日：2013-08-27

申请号：US13270930

申请日：2011-10-11

Applicant: Stephen R. Lawrence

Inventor： Stephen R. Lawrence

IPC: G06Q30/00 ,  G05B19/418

CPC classification number: G06Q30/02 ,  G06Q30/0256

Abstract: Methods and systems for correlating connections between users and links between articles to identify search and/or ad spamming are disclosed. Social networks can be used to identify connections between users for correlation with links between articles, which can be identified through searches of article contents and/or back tracing accesses to articles. One disclosed method comprises identifying first associations between a plurality of users in a network of associated users; identifying second associations between one or more users and one or more articles; identifying third associations between at least some of the articles or between some of the users and access to some of the articles; and determining at least one of the third associations is correlated with one or more of the first associations.

Abstract translation: 公开了用于将用户之间的连接与文章之间的链接相关联以识别搜索和/或广告垃圾邮件的方法和系统。 可以使用社交网络来识别用户之间的连接，以便与文章之间的链接相关联，这可以通过搜索文章内容和/或对文章的后续跟踪访问来识别。 一种公开的方法包括识别关联用户的网络中的多个用户之间的第一关联; 识别一个或多个用户与一个或多个文章之间的第二关联; 识别至少一些文章之间或某些用户之间的第三关联以及对某些文章的访问; 并且确定所述第三关联中的至少一个与所述第一关联中的一个或多个关联。