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公开(公告)号：US20120158477A1
公开(公告)日：2012-06-21
申请号：US12970968
申请日：2010-12-17
申请人： Moshe Tennenholtz , Roy Varshavsky , Ron Karidi , Aviv Zohar , Yuval Emek , Kira Radinsky
发明人： Moshe Tennenholtz , Roy Varshavsky , Ron Karidi , Aviv Zohar , Yuval Emek , Kira Radinsky
IPC分类号： G06Q30/00
CPC分类号： G06Q30/0217 , G06Q30/0214 , G06Q50/01
摘要： A social incentive system is described herein that formalizes information propagation through social networks in a structured and systematic way. The system provides incentives and rewards to entities who participate in propagating the information, allowing heavy influencers to gain from their influence while the marketer rewards them. The system provides one or more tools for creation and design of social incentive plans with rewards for socially distributing information, including marketing campaigns. In particular, the system introduces a semantic framework where marketers can create structured incentive plans for rewarding consumers and distribution platforms for distributing information through social networks. As users complete specified activities they earn points, and the points can be redeemed for various incentives, such as cash, debit cards, prizes, merchandise, subscriptions, and so forth. The framework is robustly designed to avoid abuse and allow for fraud detection.
摘要翻译： 本文描述了一种社会激励制度，其通过社会网络以组织和系统的方式形式化信息传播。 该系统为参与传播信息的实体提供激励和奖励，让重度影响者从营销人员的奖励中获益。 该系统提供一个或多个工具，用于创建和设计社会激励计划，并提供社会分发信息（包括营销活动）的奖励。 特别是，系统引入了一个语义框架，营销人员可以创建结构化的激励计划，以奖励消费者和通过社交网络分发信息的分发平台。 当用户完成指定的活动时，他们可以获得积分，积分可以兑换现金，借记卡，奖品，商品，订阅等各种奖励。 该框架设计强大，以避免滥用并允许欺诈检测。
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公开(公告)号：US20120209920A1
公开(公告)日：2012-08-16
申请号：US13042463
申请日：2011-03-08
申请人： Eugene (John) Neystadt , Ron Karidi , Yitzhak Tzahi Weisfeild , Moshe Tennenholtz , Kira Radinsky , Roy Varshavsky
发明人： Eugene (John) Neystadt , Ron Karidi , Yitzhak Tzahi Weisfeild , Moshe Tennenholtz , Kira Radinsky , Roy Varshavsky
CPC分类号： G06Q30/0201 , G06F16/9535
摘要： Social influencers may be identified for specific usage contexts and for influencer type. Influencers may be categorized by mavens, connectors, salesmen, or other categories. Within each usage context, a unified data model may be used to collect data from multiple sources, including multiple social networks, as well as to collect data from different levels of influencers in each usage context. The relevance of various communication media as well as the frequency and quality of use of the media may be factors used to determine a person's effectiveness as a specific type of influencer within a usage context.
摘要翻译： 社会影响者可以针对具体使用情况和影响者类型进行识别。 影响者可以通过商品，连接器，推销员或其他类别进行分类。 在每个使用情况下，可以使用统一的数据模型来从多个来源（包括多个社交网络）收集数据，以及从每个使用环境中的不同级别的影响者收集数据。 各种通信媒体的相关性以及媒体的频率和使用质量可以是用于在使用上下文中确定个人作为特定类型的影响者的有效性的因素。
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公开(公告)号：US20120209674A1
公开(公告)日：2012-08-16
申请号：US13041452
申请日：2011-03-07
申请人： Eugene (John) Neystadt , Ron Karidi , Yitzhak Tzahi Weisfeild , Moshe Tennenholtz , Kira Radinsky , Roy Varshavsky
发明人： Eugene (John) Neystadt , Ron Karidi , Yitzhak Tzahi Weisfeild , Moshe Tennenholtz , Kira Radinsky , Roy Varshavsky
IPC分类号： G06Q30/00
CPC分类号： G06Q30/0207 , G06Q50/01
摘要： A social marketing system may reward and incentivize participants, and may also have a fraud detection system. The manager may create social marketing campaigns that may be simulated to determine an expected set of activities, which may be compared to an actual set of activities. A fraud detection system may detect abnormal activity and may bring the activity to a manager's attention and may also punish the participants by withholding rewards, lowering the participant's reputation, or some other punishment mechanism.
摘要翻译： 社会营销系统可以奖励和激励参与者，也可能有欺诈检测系统。 经理可以创建可以模拟的社交营销活动，以确定预期的一组活动，这可以与一组实际的活动进行比较。 欺诈检测系统可能会检测到异常活动，并可能引起经理注意的活动，也可以通过扣留奖励，降低参与者的声誉或其他惩罚机制来惩罚参与者。
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公开(公告)号：US09870424B2
公开(公告)日：2018-01-16
申请号：US13042460
申请日：2011-03-08
申请人： Eugene (John) Neystadt , Ron Karidi , Yitzhak Tzahi Weisfeild , Roy Varshavsky , Avigad Oron , Kira Radinsky
发明人： Eugene (John) Neystadt , Ron Karidi , Yitzhak Tzahi Weisfeild , Roy Varshavsky , Avigad Oron , Kira Radinsky
CPC分类号： G06F17/30867 , G06Q30/0282 , G06Q50/01
摘要： A ranked set of users may be calculated from an expertise categorization for each user and a person's trust in the users for specific categories. The ranked set of users may be used for presenting search results, recommendations, social marketing, or other uses. A person's reputation may be determined through various online activities. A person's trust in another person may be related to their proximity and activity in one or more social networks.
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公开(公告)号：US20120209832A1
公开(公告)日：2012-08-16
申请号：US13042460
申请日：2011-03-08
申请人： Eugene (John) Neystadt , Ron Karidi , Yitzhak Tzahi Weisfeld , Roy Varshavsky , Avigad Oron , Kira Radinsky
发明人： Eugene (John) Neystadt , Ron Karidi , Yitzhak Tzahi Weisfeld , Roy Varshavsky , Avigad Oron , Kira Radinsky
CPC分类号： G06F17/30867 , G06Q30/0282 , G06Q50/01
摘要： A ranked set of users may be calculated from an expertise categorization for each user and a person's trust in the users for specific categories. The ranked set of users may be used for presenting search results, recommendations, social marketing, or other uses. A person's reputation may be determined through various online activities. A person's trust in another person may be related to their proximity and activity in one or more social networks.
摘要翻译： 可以根据每个用户的专业知识分类以及个人对特定类别的用户的信任来计算一组排名的用户。 用户排名可能用于呈现搜索结果，建议，社交营销或其他用途。 一个人的声誉可以通过各种在线活动来确定。 一个人对另一个人的信任可能与一个或多个社交网络中的邻近度和活动有关。
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公开(公告)号：US20120084859A1
公开(公告)日：2012-04-05
申请号：US12894185
申请日：2010-09-30
CPC分类号： G06F21/563 , G06F21/56 , G06Q10/06 , G06Q30/00
摘要： Architecture that selects a classification engine based on the expertise of the engine to process a given entity (e.g., a file). Selection of an engine is based on a probability that the engine will detect an unknown entity classification using properties of the entity. One or more of the highest ranked engines are activated in order to achieve the desired performance. A statistical, performance-light module is employed to skip or select several performance-demanding processes. Methods and algorithms are utilized for learning based on matching the best classification engine(s) to detect the entity class based on the entity properties. A user selection option is provided for specifying a maximum number of ranked, classification engines to consider for each state of the machine. A user can also select the minimum probability of detection for a specific entity (e.g., unknown file). The best classifications are re-evaluated over time as the classification engines are updated.
摘要翻译： 基于引擎的专长来选择分类引擎以处理给定实体（例如，文件）的架构。 引擎的选择是基于引擎将使用实体的属性来检测未知实体分类的概率。 一个或多个最高排名的引擎被激活以实现期望的性能。 采用统计的性能灯模块来跳过或选择若干性能要求高的过程。 基于匹配最佳分类引擎的方法和算法用于学习，以根据实体属性检测实体类。 提供用户选择选项，用于指定针对机器的每个状态考虑的排名最大的分类引擎。 用户还可以选择特定实体（例如，未知文件）的最小检测概率。 随着分类引擎的更新，最好的分类会随着时间的推移重新评估。
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公开(公告)号：US08869277B2
公开(公告)日：2014-10-21
申请号：US12894185
申请日：2010-09-30
CPC分类号： G06F21/563 , G06F21/56 , G06Q10/06 , G06Q30/00
摘要： Architecture that selects a classification engine based on the expertise of the engine to process a given entity (e.g., a file). Selection of an engine is based on a probability that the engine will detect an unknown entity classification using properties of the entity. One or more of the highest ranked engines are activated in order to achieve the desired performance. A statistical, performance-light module is employed to skip or select several performance-demanding processes. Methods and algorithms are utilized for learning based on matching the best classification engine(s) to detect the entity class based on the entity properties. A user selection option is provided for specifying a maximum number of ranked, classification engines to consider for each state of the machine. A user can also select the minimum probability of detection for a specific entity (e.g., unknown file). The best classifications are re-evaluated over time as the classification engines are updated.
摘要翻译： 基于引擎的专长来选择分类引擎以处理给定实体（例如，文件）的架构。 引擎的选择是基于引擎将使用实体的属性来检测未知实体分类的概率。 一个或多个最高排名的引擎被激活以实现期望的性能。 采用统计的性能灯模块来跳过或选择若干性能要求高的过程。 基于匹配最佳分类引擎的方法和算法用于学习，以根据实体属性检测实体类。 提供用户选择选项，用于指定针对机器的每个状态考虑的排名最大的分类引擎。 用户还可以选择特定实体（例如，未知文件）的最小检测概率。 随着分类引擎的更新，最好的分类会随着时间的推移重新评估。
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公开(公告)号：US09244931B2
公开(公告)日：2016-01-26
申请号：US13270690
申请日：2011-10-11
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对行为进行建模，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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公开(公告)号：US20110239288A1
公开(公告)日：2011-09-29
申请号：US12730273
申请日：2010-03-24
申请人： David B. Cross , Kira Radinsky
发明人： David B. Cross , Kira Radinsky
IPC分类号： G06F21/20 , G06F21/24 , G06F15/173
CPC分类号： H04L63/1441 , G06F21/51 , G06F21/55 , G06F21/56 , H04L63/0281 , H04L63/0823 , H04L63/1466 , H04L67/02
摘要： An active filter monitors a web browser session to identify executable code transmitted in the session. The executable code may be analyzed to determine if the code is digitally signed. When the code is digitally signed by the web server or by another trusted source, the code may be executed. When the code is neither digitally signed or when the source is not trusted, the code may be rejected and not executed. The filter may be implemented as a web browser component or plugin, as well as a gateway device, proxy, or other service. The filter may also be implemented on the server side to reject incoming data that may include unauthenticated code.
摘要翻译： 主动过滤器监视Web浏览器会话以识别在会话中发送的可执行代码。 可以分析可执行代码以确定代码是否被数字签名。 当代码由Web服务器或另一个可信源进行数字签名时，可以执行代码。 当代码没有数字签名或源不被信任时，代码可能被拒绝并且不被执行。 过滤器可以被实现为网络浏览器组件或插件，以及网关设备，代理或其他服务。 过滤器也可以在服务器端实现，以拒绝可能包括未认证代码的输入数据。
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公开(公告)号：US20120317306A1
公开(公告)日：2012-12-13
申请号：US13157316
申请日：2011-06-10
申请人： Kira Radinsky , Evgeney Ryzhyk , Moshe Golan
发明人： Kira Radinsky , Evgeney Ryzhyk , Moshe Golan
IPC分类号： G06F15/16
CPC分类号： H04L43/028 , H04L63/1408
摘要： A network traffic analyzer may identify applications transmitting information across a network by analyzing various protocol attributes of the communication. A set of signatures may be created by training a machine learning system using network traffic with and without a specific application. The machine learning system may generate a signature for the specific application, and the signature may be analyzed using a monitoring system to identify the presence of the application's traffic on the network. In some embodiments, a decision tree may be used to detect the application within a statistical confidence. The monitoring system may be used for malware detection as well as other applications.
摘要翻译： 网络流量分析器可以通过分析通信的各种协议属性来识别通过网络传输信息的应用。 可以通过使用具有和不具有特定应用的网络流量训练机器学习系统来创建一组签名。 机器学习系统可以为特定应用生成签名，并且可以使用监视系统分析签名，以识别应用在网络上的流量的存在。 在一些实施例中，可以使用决策树来在统计置信度内检测应用。 监控系统可用于恶意软件检测以及其他应用。
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