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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：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：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：US20120210240A1
公开(公告)日：2012-08-16
申请号：US13034719
申请日：2011-02-25
申请人： Eugene(John) Neystadt , Avigad Oron , Ron Karidi , Roy Varshavsky , Ron Dar Ziv
发明人： Eugene(John) Neystadt , Avigad Oron , Ron Karidi , Roy Varshavsky , Ron Dar Ziv
CPC分类号： G06Q30/0282 , G06F16/437 , G06Q10/00 , G06Q30/02 , 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 expertise 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。 一个人的专业知识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：US20130085844A1
公开(公告)日：2013-04-04
申请号：US13252213
申请日：2011-10-04
IPC分类号： G06Q30/02
摘要： Online sellers may be ranked based on feedback given by people trusted by an individual user. The user may trust people in their social networks, as well as people who may be experts in a particular field, and the seller's ranking may be calculated by weighting reviews or feedback from trusted people higher than people unknown to the user. When used with a social campaign management system, ranking of products from multiple online sellers may include coupons or incentives that are available through the user's social network, as well as discounts or incentives that may be targeted to the user's status within their own social network.
摘要翻译： 在线卖家可能会根据个人用户信任的反馈来排名。 用户可以信任他们的社交网络中的人，以及可能是特定领域的专家的人，并且可以通过加权来自比用户未知的人的信任的人的评论或反馈来计算卖家的排名。 当与社交活动管理系统一起使用时，来自多个在线卖家的产品的排名可以包括可通过用户社交网络获得的优惠券或奖励，以及可以针对用户在其自己的社交网络内的状态的折扣或奖励。
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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：US20130085838A1
公开(公告)日：2013-04-04
申请号：US13252210
申请日：2011-10-04
IPC分类号： G06Q30/02
CPC分类号： G06Q10/04 , G06Q30/0277 , G06Q50/01
摘要： A social marketing system may have an incentive system that may be optimized dynamically for each user during the course of a marketing campaign. The social marketing system may use a simulated model of social interactions to predict the performance of a marketing campaign and may use the output of the simulation to adjust incentives during a campaign for various users, as well as use the actual results of changes in incentives as feedback to the simulation. The simulation may assume several different types of users within the social network and that several types of financial and non-financial incentives may be applied to different users. Some embodiments may use machine learning algorithms to analyze actual results and feed those results into the simulation. The system may be able to categorize users into the simulated types and adjust incentives according to the models associated with those types of users.
摘要翻译： 社会营销系统可以具有在营销活动期间可以针对每个用户动态优化的激励系统。 社会营销系统可以使用社会交互的模拟模型来预测营销活动的表现，并且可以使用模拟的输出来在各种用户的活动期间调整激励，并且使用激励变化的实际结果 反馈给模拟。 模拟可以假设社会网络中的几种不同类型的用户，并且可以将不同类型的财务和非财务激励应用于不同的用户。 一些实施例可以使用机器学习算法来分析实际结果并将这些结果馈送到模拟中。 该系统可能能够将用户分类为模拟类型，并根据与这些类型的用户相关联的模型来调整激励。
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公开(公告)号：US20130073378A1
公开(公告)日：2013-03-21
申请号：US13235500
申请日：2011-09-19
申请人： Eyal Naveh , Roy Varshavsky , Ron Karidi , Adi Diamant , Eugene (John) NEYSTADT
发明人： Eyal Naveh , Roy Varshavsky , Ron Karidi , Adi Diamant , Eugene (John) NEYSTADT
CPC分类号： G06Q10/10 , G06Q30/02 , G06Q30/0241 , G06Q50/01
摘要： A social marketing system may measure the performance of marketing campaigns using the effective click through rates that include impressions that are due to propagation of items through social networks. A social marketing system may track an initial effectiveness in starting a campaign, as well as track the propagation of the campaign information through multiple social networks. The effectiveness of the campaign may be measured using the effective click through rates for various target audiences. The social marketing system may create links to advertising materials and thereby track interactions when users click through the links to interact with the materials. The effectiveness of the social media campaign may be based in part by measuring the actual or estimated number of impressions through social media networks.
摘要翻译： 社交营销系统可以使用有效点击率来衡量营销活动的效果，包括通过社交网络传播项目所产生的展示次数。 社交营销系统可以追踪开始运动的初始有效性，并跟踪通过多个社交网络传播活动信息。 可以使用各种目标受众的有效点击率来衡量活动的有效性。 社交营销系统可能会创建与广告材料的链接，从而跟踪用户点击链接进行交互的交互作用。 社交媒体活动的有效性部分可以通过衡量社交媒体网络的实际或估计的展示次数。
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公开(公告)号：US08856109B2
公开(公告)日：2014-10-07
申请号：US13528835
申请日：2012-06-21
申请人： Ron Karidi , Gal Lavee , Avigad Oron
发明人： Ron Karidi , Gal Lavee , Avigad Oron
IPC分类号： G06F17/30
CPC分类号： G06F17/30867
摘要： Topical affinity badges in information retrieval is described, for example, where graphical elements are presented together with ranked search results from a search engine, to indicate a degree of association between an author of a document and a topic. In various embodiments, a measure of an author's affinity to a topic is predicted using a machine learning system that takes as input author features derived from documents of the author. In various examples topical affinity scores or labels are used to generate badges and/or to index documents at an index of a search engine. For example, badges may be presented with ranked search results, in pop up displays or in other ways. In examples author features relating to any of recency, frequency and presentation of an author's documents are generated, where presentation features may relate to biographical information such as experience, qualifications, and previous documents.
摘要翻译： 描述了信息检索中的主题亲和证件，例如，图形元素与来自搜索引擎的排名搜索结果一起呈现，以指示文档的作者与主题之间的关联程度。 在各种实施例中，使用机器学习系统预测作者对主题的亲和度的度量，该机器学习系统将作者的作品的文献作为输入作者的特征。 在各种示例中，使用主题亲和度评分或标签来生成徽章和/或在搜索引擎的索引处索引文档。 例如，徽章可以以排名的搜索结果，弹出显示或其他方式呈现。 在例子中，生成与作者文档的任何新近，频率和呈现有关的功能，其中呈现特征可以涉及诸如体验，资格和先前文档之类的传记信息。
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