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1. 发明申请

US20100257035A1 EMBEDDED CONTENT BROKERING AND ADVERTISEMENT SELECTION DELEGATION 审中-公开
标题翻译：嵌入式内容分发和广告选择代理
公开(公告)号：US20100257035A1
公开(公告)日：2010-10-07
申请号：US12419322
申请日：2009-04-07
申请人： Kfir Karmon , Roy Varshavsky , Ron Karidi , Hen Fitoussi , Liza Fireman
发明人： Kfir Karmon , Roy Varshavsky , Ron Karidi , Hen Fitoussi , Liza Fireman
IPC分类号： G06Q30/00 , G06F15/16
CPC分类号： G06Q30/02 , G06Q30/0208
摘要： A digital document request can be received at a publisher computing environment from a client computing environment. A document requested by the digital document request can include an embedded content placeholder. A third-party embedded content request can be sent from a content broker computing environment (which may be the same as or different from the publisher computing environment) to an embedded content provider computing environment to request content for the embedded content placeholder. Content corresponding to the third-party embedded content request can be received at the content broker computing environment. In addition, the digital document can be sent from the publisher computing environment to the client computing environment, and the content can be sent from the content broker computing environment to the client computing environment. Advertisement selection can also be delegated to an advertisement selection delegate computing environment.
摘要翻译：可以在发布者计算环境中从客户端计算环境接收数字文档请求。由数字文档请求请求的文档可以包括嵌入式内容占位符。第三方嵌入式内容请求可以从内容代理计算环境（其可以与发布者计算环境相同或不同）发送到嵌入式内容提供商计算环境，以请求嵌入式内容占位符的内容。可以在内容代理计算环境下接收对应于第三方嵌入式内容请求的内容。此外，数字文档可以从发行商计算环境发送到客户端计算环境，并且内容可以从内容代理计算环境发送到客户端计算环境。广告选择也可以被委派给广告选择委托计算环境。

2. 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。

3. 发明申请

US20100169331A1 ONLINE RELEVANCE ENGINE 有权
标题翻译：在线相关引擎
公开(公告)号：US20100169331A1
公开(公告)日：2010-07-01
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： G06F7/06 , 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。

4. 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。

5. 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。

6. 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。

7. 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。

8. 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。

9. 发明申请

US20100175019A1 DATA EXPLORATION TOOL INCLUDING GUIDED NAVIGATION AND RECOMMENDED INSIGHTS 审中-公开
标题翻译：数据探索工具，包括引导导航和推荐的视角
公开(公告)号：US20100175019A1
公开(公告)日：2010-07-08
申请号：US12348502
申请日：2009-01-05
申请人： Daniel Sitton , Roy Varshavsky , Kfir Kamon , Ron Karidi
发明人： Daniel Sitton , Roy Varshavsky , Kfir Kamon , Ron Karidi
IPC分类号： G06F3/048 , G06F17/30
CPC分类号： G06F3/0481 , G06F16/24578 , G06F16/283 , G06F16/284 , G06Q10/00
摘要： An ad hoc business data exploration tool is disclosed, which provides guided access to the vast amount of data within a multidimensional database. The tool provides guided access by suggesting insights which may be of particular interest to the user based on a scoring of the insights and user feedback on desirable/undesirable insights. The present system works in conjunction with custom algorithms, as well as a conventional multidimensional database.
摘要翻译：公开了一种临时业务数据探索工具，其提供对多维数据库中的大量数据的引导访问。该工具提供引导访问，通过建立洞察力，这可能是基于对所需/不需要的见解的深入分析和用户反馈的评分对用户特别感兴趣的。本系统与定制算法以及传统的多维数据库一起工作。

10. 发明申请

US20110010366A1 HYBRID RECOMMENDATION SYSTEM 有权
标题翻译：混合推荐系统
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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