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31. 发明授权

US07958509B2 Method and system for scheduling of jobs 有权
标题翻译：作业调度方法和系统
公开(公告)号：US07958509B2
公开(公告)日：2011-06-07
申请号：US11313395
申请日：2005-12-21
申请人： Yariv Aridor , Richard Edwin Harper , Elad Yom-Tov
发明人： Yariv Aridor , Richard Edwin Harper , Elad Yom-Tov
IPC分类号： G06F15/173 , G06F9/46
CPC分类号： G06F9/5027 , G06F9/5011 , G06F2209/503 , G06F2209/508
摘要： A method and system of resource allocation for execution of a job are provided. The method includes receiving feedback (134) regarding the execution of previously submitted jobs on one or more resource nodes (101-104), and estimating the resources required for execution of a submitted job based on the feedback (134) and the parameters of the job. One, or a plurality of resource nodes in parallel, having the estimated resources are allocated the job. The feedback may be implicit feedback indicating the success or failure of the execution of a job. The one or more resource nodes (101-104) allocated for execution of a job may have less than a user requested resource allocation for the job.
摘要翻译：提供了用于执行作业的资源分配的方法和系统。该方法包括接收关于在一个或多个资源节点（101-104）上执行先前提交的作业的反馈（134），以及基于反馈（134）和所述参数来估计执行所提交作业所需的资源工作。将具有估计资源的并行的一个或多个资源节点分配给该作业。反馈可以是表示作业的执行成功或失败的隐含反馈。分配用于执行作业的一个或多个资源节点（101-104）可能具有小于作业的用户请求的资源分配。

32. 发明申请

US20080313109A1 SYSTEM, METHOD AND COMPUTER PROGRAM PRODUCT FOR EVELUATING A STORAGE POLICY 失效
标题翻译：用于获取存储政策的系统，方法和计算机程序产品
公开(公告)号：US20080313109A1
公开(公告)日：2008-12-18
申请号：US11762092
申请日：2007-06-13
申请人： Zorik Machulsky , Elad Yom-Tov , Aviad Zlotnick
发明人： Zorik Machulsky , Elad Yom-Tov , Aviad Zlotnick
IPC分类号： G06F9/455 , G06F15/18
CPC分类号： G06F3/0604 , G06F3/0653 , G06F3/0659 , G06F3/0671 , G06N99/005
摘要： A method for generating a storage policy, the method includes: receiving a storage system target function; and generating, by a machine learning entity, the storage policy in response to: (a) a set of file-related storage operation requests, (b) a state of the storage system before responding to the set of file-related storage operation requests, and (c) the storage system target function. A method for evaluating a storage policy, the method includes: simulating an application of the storage policy by the storage system during a first period, in response to a set of file-related storage operation requests that was provided to the storage system during the first period, to provide a simulation result; wherein the first period starts before the simulating.
摘要翻译：一种用于生成存储策略的方法，所述方法包括：接收存储系统目标函数; 以及响应于以下各项，由机器学习实体生成所述存储策略：（a）一组与文件相关的存储操作请求，（b）所述存储系统在响应所述一组文件相关存储操作请求之前的状态，（c）存储系统目标功能。一种用于评估存储策略的方法，所述方法包括：响应于在所述第一时间段期间提供给所述存储系统的与文件相关的存储操作请求的集合，在第一时段期间模拟所述存储系统的存储策略的应用期间，提供模拟结果; 其中第一周期在模拟之前开始。

33. 发明申请

US20080256093A1 Method and System for Detection of Authors 有权
标题翻译：作者检测方法与系统
公开(公告)号：US20080256093A1
公开(公告)日：2008-10-16
申请号：US11733808
申请日：2007-04-11
申请人： Einat Amitay , Sivan Yogev , Elad Yom-Tov
发明人： Einat Amitay , Sivan Yogev , Elad Yom-Tov
IPC分类号： G06F17/00
CPC分类号： G06F17/30705 , G06F17/30675 , Y10S707/99942
摘要： A method and system are provided for detection of authors across different types of information sources such as across documents on the Web. The method includes obtaining a compression signature (303) for a document, and determining the similarity (304) between compression signatures of two or more documents. If the similarity is greater than a threshold measure (305), the two or more documents are considered to be by the same author. Scored pairs of documents are clustered (308) to provide a group of documents by the same author. The group of documents by the same author can be used for user profiling, noise reduction, contribution sizing, detecting fraudulent contributions, obtaining other search results by the same author, or mating a document with undisclosed authorship to a document of known author.
摘要翻译：提供了一种方法和系统，用于检测跨不同类型信息源的作者，例如跨Web上的文档。该方法包括获取文档的压缩签名（303），以及确定两个或多个文档的压缩签名之间的相似度（304）。如果相似度大于阈值度量（305），则两个或多个文档被认为是同一作者。得分的文档对被聚集（308）以由同一作者提供一组文档。同一作者的一组文件可用于用户分析，降噪，贡献大小，检测欺诈性贡献，获取同一作者的其他搜索结果，或将未公开作者的文档与已知作者的文档进行交互。

34. 发明申请

US20080183539A1 Consistency Checking in Computer-Implemented Calendar Systems 审中-公开
标题翻译：一致性检查计算机实现的日历系统
公开(公告)号：US20080183539A1
公开(公告)日：2008-07-31
申请号：US11669199
申请日：2007-01-31
申请人： Boaz Mizrachi , Elad Yom-Tov
发明人： Boaz Mizrachi , Elad Yom-Tov
IPC分类号： G06Q10/00
CPC分类号： G06Q10/109 , G06Q10/1093
摘要： A computer-implemented calendar verification system including a computer configured to operate a calendar application, and a consistency checker operable by the computer, where the calendar application is operative to record information regarding a scheduled event, and where the consistency checker is operative to determine the consistency of a sender time-to-event, received in a verification message for the event, with a recipient time-to-event calculated by the consistency checker using the scheduled event information.
摘要翻译：计算机实现的日历验证系统，包括被配置为操作日历应用的计算机，以及可由计算机操作的一致性检查器，其中日历应用程序可操作以记录关于调度事件的信息，并且一致性检查器可操作以确定在事件的验证消息中接收的发送者时间到事件的一致性，以及由所述一致性检查器使用所调度的事件信息计算的接收者时间到事件。

35. 发明授权

US08452761B2 Apparatus for and method of implementing system log message ranking via system behavior analysis 失效
标题翻译：通过系统行为分析实现系统日志消息排序的装置和方法
公开(公告)号：US08452761B2
公开(公告)日：2013-05-28
申请号：US11877679
申请日：2007-10-24
申请人： Sivan Sabato , Aviad Tsherniak , Elad Yom-Tov
发明人： Sivan Sabato , Aviad Tsherniak , Elad Yom-Tov
IPC分类号： G06F7/00
CPC分类号： G06F11/0769 , G06F11/0706 , G06F11/0781 , G06F11/328 , G06F11/3476 , G06F2201/88
摘要： A novel and useful method for enabling system logs to be effectively and efficiently monitored by ranking the system log messages by their estimated value to administrators and generating a log view that displays the most important messages. The ranking process uses a dataset of system logs from many computer systems to score messages. For better scoring, unsupervised clustering is used to identify sets of systems that behave similarly. The expected distribution of messages in a given system is estimated using the resulting clusters, and log messages are scored using this estimation.
摘要翻译：通过将系统日志消息的估计值排列给管理员并生成显示最重要消息的日志视图，可以有效和高效地监视系统日志的一种新颖有用的方法。排名过程使用来自许多计算机系统的系统日志的数据集来评分消息。为了获得更好的评分，使用无监督的聚类来识别行为相似的系统集。使用所得到的集群估计给定系统中的消息的预期分布，并且使用该估计对记录消息进行评分。

36. 发明申请

US20120295633A1 USING USER'S SOCIAL CONNECTION AND INFORMATION IN WEB SEARCHING 审中-公开
标题翻译：在网络搜索中使用用户的社会关系和信息
公开(公告)号：US20120295633A1
公开(公告)日：2012-11-22
申请号：US13111656
申请日：2011-05-19
申请人： Elad Yom-Tov , Fernando Diaz
发明人： Elad Yom-Tov , Fernando Diaz
IPC分类号： H04W24/00
CPC分类号： G06F16/9535 , H04W4/021
摘要： The present disclosure relates to web searching, and more particularly to using a user's information, such as the user's geographic location, and social connections, such as geographic location of one or more friends of the user, in web searching, e.g., such as in filtering and/or ranking search results, identifying relevant queries, and/or identifying content, such as news items, for presentation on a web page presented to the user.
摘要翻译：本公开涉及网络搜索，并且更具体地涉及在web搜索中使用用户的信息，诸如用户的地理位置和社交连接，例如用户的一个或多个朋友的地理位置，例如过滤和/或排序搜索结果，识别相关查询和/或识别诸如新闻项目的内容，以呈现在呈现给用户的网页上。

37. 发明授权

US08285702B2 Content analysis simulator for improving site findability in information retrieval systems 有权
标题翻译：内容分析模拟器，用于提高信息检索系统中的站点可找性
公开(公告)号：US08285702B2
公开(公告)日：2012-10-09
申请号：US12188013
申请日：2008-08-07
申请人： David Carmel , Elad Yom-Tov , Naama Zwerdling
发明人： David Carmel , Elad Yom-Tov , Naama Zwerdling
IPC分类号： G06F17/30
CPC分类号： G06F17/30867 , G06F17/30722
摘要： A system and method including a simulator operating in conjunction with a search-engine, for improving document and site findability. Users input their content (pages or sites) and the simulator will analyze the site in terms of structure and content. It will then give the user a ranked list of suggestions about how the user might improve his/her site's findability. The user will then be able to apply some or all of these suggestions, or any other changes, by virtually modifying the site, and then immediately receive feedback both on how the pages look and a sense of the degree of findability improvement. The interactive process allows users to simulate modifications in their site structure and content in order to improve its findability. When the user completes the modifications and is satisfied with the new findability of his site, the user will be able then to replace his/her current site in the repository with the modified one.
摘要翻译：一种包括与搜索引擎一起操作的模拟器的系统和方法，用于改进文档和站点可发现性。用户输入内容（页面或站点），模拟器将根据结构和内容分析站点。然后，它将向用户提供关于用户如何改善他/她的网站的可找到性的排名列表。然后，用户可以通过虚拟修改网站来应用部分或全部这些建议或任何其他更改，然后立即收到关于页面外观和可寻找程度改进程度的反馈。交互过程允许用户模拟其站点结构和内容的修改，以提高其可查找性。当用户完成修改并对其网站的新可找到性感到满意时，用户将能够用修改后的位置替换他/她当前在存储库中的站点。

38. 发明申请

US20120191634A1 STORAGE POLICY EVALUATION IN A COMPUTING ENVIRONMENT 失效
标题翻译：计算环境中的储存政策评估
公开(公告)号：US20120191634A1
公开(公告)日：2012-07-26
申请号：US13436948
申请日：2012-04-01
申请人： Zorik Machulsky , Elad Yom-Tov , Aviad Zlotnick
发明人： Zorik Machulsky , Elad Yom-Tov , Aviad Zlotnick
IPC分类号： G06F15/18
CPC分类号： G06F3/0604 , G06F3/0653 , G06F3/0659 , G06F3/0671 , G06N99/005
摘要： Systems and methods for generating a storage policy for a storage system are provided. The method comprises receiving a target function applicable to a storage system having one or more data storage mediums, wherein the target function represents values for storage parameters associated with productivity or loss tolerance in the storage system; implementing one or more simulation rules according to the received target function; generating one or more storage operation requests to access data on said one or more data storage mediums based on said one or more simulation rules; submitting said one or more storage operation requests to the storage system for processing; analyzing simulation results obtained for the storage system, in response to the storage system processing said one or more storage operation requests; and generating one or more storage policies, by a machine learning entity, in response to analyzing the simulation results.
摘要翻译：提供了用于为存储系统生成存储策略的系统和方法。该方法包括接收适用于具有一个或多个数据存储介质的存储系统的目标函数，其中目标函数表示与存储系统中的生产率或损失容限相关联的存储参数的值; 根据接收到的目标功能实现一个或多个仿真规则; 基于所述一个或多个仿真规则产生一个或多个存储操作请求以访问所述一个或多个数据存储介质上的数据; 将所述一个或多个存储操作请求提交给所述存储系统进行处理; 分析针对所述存储系统获得的仿真结果，响应于所述存储系统处理所述一个或多个存储操作请求; 以及响应于分析所述模拟结果，由机器学习实体生成一个或多个存储策略。

39. 发明授权

US08078556B2 Generating complex event processing rules utilizing machine learning from multiple events 有权
标题翻译：使用机器学习从多个事件生成复杂的事件处理规则
公开(公告)号：US08078556B2
公开(公告)日：2011-12-13
申请号：US12033896
申请日：2008-02-20
申请人： Asaf Adi , Elad Yom-Tov
发明人： Asaf Adi , Elad Yom-Tov
IPC分类号： G06F15/18 , G06F17/00
CPC分类号： G06N5/025
摘要： A novel and useful mechanism enabling a standard learning algorithm to generate rules for complex event processing (CEP) systems. The method creates rules that infer previously defined output events by creating input event feature vectors for each targeted output event. In addition, a method for automatically generating CEP system rules to infer output events which are anomalies (i.e. statistical outliers) of input event sequences is disclosed. Input feature vectors consisting of multiple input events and parameters for each targeted output event are then input into a standard learning algorithm to generate CEP system rules.
摘要翻译：一种新颖有用的机制，使标准学习算法能够为复杂事件处理（CEP）系统生成规则。该方法创建通过为每个目标输出事件创建输入事件特征向量来推断先前定义的输出事件的规则。此外，公开了一种用于自动生成CEP系统规则以推断输入事件序列的异常（即统计异常值）的输出事件的方法。由多个输入事件和每个目标输出事件的参数组成的输入特征向量然后被输入到标准学习算法中以产生CEP系统规则。

40. 发明申请

US20110219056A1 Method and System for Maintaining Profiles of Information Channels 失效
标题翻译：维护信息渠道的方法和系统
公开(公告)号：US20110219056A1
公开(公告)日：2011-09-08
申请号：US13105924
申请日：2011-05-12
申请人： David Carmel , Haggai Roitman , Elad Yom-Tov
发明人： David Carmel , Haggai Roitman , Elad Yom-Tov
IPC分类号： G06F15/16 , G06F15/18
CPC分类号： G06F17/30867 , H04L69/14
摘要： A method and system are provided for maintaining profiles of information channels available on the Web, wherein the information channels are accessed via pull-only protocols. The method includes monitoring one or more channels by a channel pull action at a monitoring rate, wherein the monitoring rate is determined for the one or more channels based on the number of update events in a previous time period. The method may optimally include filtering the update events in the time period by a novelty measure, wherein the filtering disregards events that do not include significant novel information. The monitoring rate is adapted based on reinforcement learning applying iterative learning rules over time.
摘要翻译：提供了一种用于维护在Web上可用的信息信道的简档的方法和系统，其中通过仅拉协议访问信息信道。该方法包括以监视速率通过信道拉动操作监视一个或多个信道，其中基于前一时间段内的更新事件的数量来确定针对一个或多个信道的监视速率。该方法可以最佳地包括通过新颖度量来对该时间段内的更新事件进行过滤，其中过滤忽略不包括重要新颖信息的事件。基于强化学习，随着时间的推移应用迭代学习规则，对监测率进行了调整。

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