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公开(公告)号:US20110320284A1
公开(公告)日:2011-12-29
申请号:US12823122
申请日:2010-06-25
申请人: Moshe Tennenholtz , Ron Karidi , Roy VARSHVSKY , Ran MOKADY , Yuval EMEK , Kira RADINSKY
发明人: Moshe Tennenholtz , Ron Karidi , Roy VARSHVSKY , Ran MOKADY , Yuval EMEK , Kira RADINSKY
CPC分类号: G06Q30/02 , G06Q30/0241 , G06Q30/0273
摘要: A social network marketplace may monitor communications between an advertiser and a consumer by generating signatures for communications and tracking those signatures through social network communications until a sale may be consummated. The marketplace may monitor the transactions to determine a user's influence on other users. A user's influence may also be determined or supplemented by monitoring formal or informal social interactions performed on a computer when those communications are able to be monitored. The influence information may be used to select outbound advertisements to those users who may benefit from an advertisement, as well as to filter inbound advertisements to suit a user or a user's situation.
摘要翻译: 社交网络市场可以通过生成用于通信的签名并通过社交网络通信跟踪这些签名来监视广告商和消费者之间的通信,直到销售可以被完成。 市场可以监视交易以确定用户对其他用户的影响。 用户的影响也可以通过监视在电脑上进行的正式或非正式社交互动来确定或补充,当这些通信能够被监视时。 影响信息可以用于向可能从广告中受益的用户选择出站广告,以及过滤入站广告以适应用户或用户的情况。
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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: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: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:US08661050B2
公开(公告)日:2014-02-25
申请号:US12500657
申请日:2009-07-10
申请人: Roy Varshavsky , Moshe Tennenholtz , Ron Karidi
发明人: Roy Varshavsky , Moshe Tennenholtz , Ron Karidi
IPC分类号: G06F17/30
CPC分类号: G06F17/30864 , G06Q30/02
摘要: A recommendation system may use a network of relationships between many different entities to find search results and establish a relevance value for the search results. The relevance value may be calculated by analyzing trust and similarity components of each relationship between the search user and the entity providing the search results. The entities may be, for example, persons associated within express or implied social networks, or corporations or other organizations with a historical or other reputation. The relationships may be created through many different contact mechanisms and may be unidirectional, asymmetric bidirectional, or symmetric bidirectional relationships. The relationships may be different based on topic or other factors.
摘要翻译: 推荐系统可以使用许多不同实体之间的关系网络来查找搜索结果并建立搜索结果的相关性值。 可以通过分析搜索用户和提供搜索结果的实体之间的每个关系的信任和相似性分量来计算相关性值。 实体可以是例如在明示或暗示的社交网络内的人,或具有历史或其他声誉的公司或其他组织。 可以通过许多不同的接触机制来创建关系,并且可以是单向的,不对称的双向的或对称的双向关系。 基于主题或其他因素,关系可能不同。
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公开(公告)号:US20110010366A1
公开(公告)日:2011-01-13
申请号:US12500657
申请日:2009-07-10
申请人: Roy Varshavsky , Moshe Tennenholtz , Ron Karidi
发明人: Roy Varshavsky , Moshe Tennenholtz , Ron Karidi
IPC分类号: G06F17/30
CPC分类号: G06F17/30864 , G06Q30/02
摘要: A recommendation system may use a network of relationships between many different entities to find search results and establish a relevance value for the search results. The relevance value may be calculated by analyzing trust and similarity components of each relationship between the search user and the entity providing the search results. The entities may be, for example, persons associated within express or implied social networks, or corporations or other organizations with a historical or other reputation. The relationships may be created through many different contact mechanisms and may be unidirectional, asymmetric bidirectional, or symmetric bidirectional relationships. The relationships may be different based on topic or other factors.
摘要翻译: 推荐系统可以使用许多不同实体之间的关系网络来查找搜索结果并建立搜索结果的相关性值。 可以通过分析搜索用户和提供搜索结果的实体之间的每个关系的信任和相似性分量来计算相关性值。 实体可以是例如在明示或暗示的社交网络内的人,或具有历史或其他声誉的公司或其他组织。 可以通过许多不同的接触机制来创建关系,并且可以是单向的,不对称的双向的或对称的双向关系。 基于主题或其他因素,关系可能不同。
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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:US20100257058A1
公开(公告)日:2010-10-07
申请号:US12418627
申请日:2009-04-06
申请人: Ron Karidi , Moshe Tennenholtz
发明人: Ron Karidi , Moshe Tennenholtz
IPC分类号: G06Q30/00
CPC分类号: G06Q30/02 , G06Q30/0257 , G06Q30/0277 , G06Q30/0601
摘要: Methods, systems, and computer-readable media are disclosed for processing advertising bids based on user interactions. A particular method represents available user interactions in a probabilistic interaction graph that contains user interaction probabilities. Bids for advertising opportunities are received, and an expected overall bid value for each of the received bids is calculated using the probabilistic interaction graph. The bids with the highest expected overall bid values are awarded the advertising opportunities. The bidders awarded advertising opportunities are charged a fee that may be based on actual user interactions, the expected overall bid value of their bid, and the next-highest expected overall bid value of the received bids.
摘要翻译: 公开了基于用户交互来处理广告投标的方法,系统和计算机可读介质。 特定方法表示包含用户交互概率的概率交互图中的可用用户交互。 收到广告机会的出价,并使用概率交互图计算每个收到的出价的预期总出价值。 预计总出价值最高的出价将被授予广告机会。 投标人授予广告机会的费用可能是根据实际的用户互动,出价的预期总出价值以及接收到的出价的预期总出价值的最高值。
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