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1. 发明申请

US20130073378A1 SOCIAL MEDIA CAMPAIGN METRICS 审中-公开
标题翻译：社会媒体运动标准
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
IPC分类号： G06Q30/00 , G06F15/16
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。

2. 发明申请

US20120209920A1 SOCIAL INFLUENCERS DISCOVERY 审中-公开
标题翻译：社会影响发现
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
IPC分类号： G06F17/30 , G06F15/16
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。

3. 发明申请

US20120209674A1 SOCIAL MARKETING INCENTIVES AND REWARDS 审中-公开
标题翻译：社会营销激励和奖励
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。

4. 发明申请

US20120209832A1 SOCIAL NETWORK BASED CONTEXTUAL RANKING 有权
标题翻译：基于社会网络的上下文排名
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
IPC分类号： G06F17/30 , G06F15/16
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。

5. 发明申请

US20120210240A1 USER INTERFACES FOR PERSONALIZED RECOMMENDATIONS 审中-公开
标题翻译：用户界面进行个性化推荐
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
IPC分类号： G06F3/048 , G06F17/30
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。

6. 发明授权

US09870424B2 Social network based contextual ranking 有权
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
IPC分类号： G06Q30/02 , G06Q10/10 , G06F17/30 , G06Q50/00
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.

7. 发明申请

US20130085838A1 INCENTIVE OPTIMIZATION FOR SOCIAL MEDIA MARKETING CAMPAIGNS 审中-公开
标题翻译：社会媒体营销活动的激励优化
公开(公告)号：US20130085838A1
公开(公告)日：2013-04-04
申请号：US13252210
申请日：2011-10-04
申请人： Moshe Tennenholtz , Eugene (John) Neystadt , Ron Karidi , Roy Varshavsky
发明人： Moshe Tennenholtz , Eugene (John) Neystadt , Ron Karidi , Roy Varshavsky
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。

8. 发明申请

US20130085844A1 SOCIAL RANKING FOR ONLINE COMMERCE SELLERS 审中-公开
标题翻译：在线商业卖家的社会排名
公开(公告)号：US20130085844A1
公开(公告)日：2013-04-04
申请号：US13252213
申请日：2011-10-04
申请人： Eugene (John) NEYSTADT , Ron Karidi , Avigad Oron , Maxim Vainstein
发明人： Eugene (John) NEYSTADT , Ron Karidi , Avigad Oron , Maxim Vainstein
IPC分类号： G06Q30/02
CPC分类号： G06Q30/02 , G06Q50/01
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。

9. 发明授权

US08135739B2 Online relevance engine 有权
标题翻译：在线相关引擎
公开(公告)号：US08135739B2
公开(公告)日：2012-03-13
申请号：US12344812
申请日：2008-12-29
申请人： Ron Karidi , Roy Varshavsky , Noga Amit , Oded Elyada , Daniel Sitton , Limor Lahiani , Hen Fitoussi , Eran Yariv , Benny Schlesinger
发明人： Ron Karidi , Roy Varshavsky , Noga Amit , Oded Elyada , Daniel Sitton , Limor Lahiani , Hen Fitoussi , Eran Yariv , Benny Schlesinger
IPC分类号： G06F17/30 , G06F7/00
CPC分类号： G06F17/30864
摘要： Information is automatically located which is relevant to source content that a user is viewing on a user interface without requiring the user to perform an additional search or navigate links of the source content. The source content can be, e.g., a web page or a document from a word processing or email application. The relevant information can include images, videos, web pages, maps or other location-based information, people-based information and special services which aggregate different types of information. Related content is located by analyzing textual content, user behavior and connectivity relative to the source. The related content is scored for similarity to the source. Content which is sufficiently similar but not too similar is selected. Similar related content is grouped to select representative results. The selected content is filtering in multiple stages based on attribute priorities to avoid unnecessary processing of content which is filtered out an early stage.
摘要翻译：自动定位与用户正在用户界面上观看的源内容相关的信息，而不需要用户执行附加搜索或浏览源内容的链接。源内容可以是例如网页或来自文字处理或电子邮件应用的文档。相关信息可以包括图像，视频，网页，地图或其他基于位置的信息，基于人群的信息和聚合不同类型信息的特殊服务。通过分析文本内容，用户行为和相对于源的连接来定位相关内容。相关内容的得分与来源相似。选择足够相似但不太相似的内容。类似的相关内容被分组以选择代表性的结果。所选择的内容是基于属性优先级在多个阶段进行过滤，以避免对早期过滤掉的内容进行不必要的处理。

10. 发明授权

US08661050B2 Hybrid recommendation system 有权
标题翻译：混合推荐系统
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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