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公开(公告)号：US08818917B2
公开(公告)日：2014-08-26
申请号：US14204890
申请日：2014-03-11
申请人： ManyWorlds, Inc.
IPC分类号： G06F17/00 , G06N5/04 , G06N99/00 , G06F17/30 , G06N7/02 , G06Q50/00 , G06Q30/06 , G06F17/28 , G06K7/10
CPC分类号： G06N5/048 , G06F17/2881 , G06F17/30864 , G06K7/10366 , G06K7/10475 , G06N5/04 , G06N7/02 , G06N99/005 , G06Q30/0631 , G06Q50/01
摘要： A multi-social network discovery system and method enables users to select multiple social networks comprising activity streams and to receive recommendations sourced from the selected multiple social networks. The multi-social network discovery system and method generates affinity values based on inferred affinity levels between topics, which may be associated with tags, and objects that are associated with the activity streams. The inferred affinity values may be derived from usage behaviors such as tagging and/or based on an automatic analysis of the content of the objects. The affinity values inform the selection of the objects to be recommended to a user, and the selection may be further informed by inferred affinity levels between the user and the topics. The recommendations may be tuned by the user through application of a recommendation tuning control.
摘要翻译： 多社会网络发现系统和方法使得用户能够选择包括活动流的多个社交网络并且接收来自所选择的多个社交网络的建议。 多社交网络发现系统和方法基于可能与标签相关联的主题之间的推断亲和度级别以及与活动流相关联的对象来生成亲和度值。 推断的亲和度值可以从诸如标记的使用行为和/或基于对象的内容的自动分析得出。 亲和度值通知选择要推荐给用户的对象，并且可以通过用户和主题之间的推断的亲和度级别来进一步通知该选择。 建议可以由用户通过应用推荐调谐控制进行调整。
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公开(公告)号：US09171263B2
公开(公告)日：2015-10-27
申请号：US14462788
申请日：2014-08-19
申请人： ManyWorlds, Inc.
CPC分类号： G06N5/048 , G06F17/2881 , G06F17/30528 , G06F17/30867 , G06Q50/01 , H04L51/16
摘要： A content-based expertise level inferencing system and method analyzes content such as text-based content that is associated with a user and infers an expertise level of the user that is associated with a topic. Language-based analytic techniques may be applied in inferring the expertise level, including the application of domain-specific vocabulary and frequency analyzes. The expertise level may be further inferred based on usage behaviors of the user and/or other users. Calibration information may be applied in generating the inference of the expertise level. Recommendations may be generated based on the inferred expertise level, and explanations for the recommendation and/or the inference may be generated for delivery to a recommendation recipient.
摘要翻译： 基于内容的专业知识水平推理系统和方法分析诸如与用户相关联的基于文本的内容的内容，并推断与主题相关联的用户的专业水平。 基于语言的分析技术可以用于推断专业知识水平，包括应用领域特定词汇和频率分析。 可以基于用户和/或其他用户的使用行为进一步推断专业级别。 校准信息可用于产生专业知识水平的推论。 可以基于推断的专业知识水平来产生建议，并且可以生成关于推荐和/或推断的解释以便递送给推荐接收者。
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3.发明授权公开(公告)号：US09026488B2
公开(公告)日：2015-05-05
申请号：US14083628
申请日：2013-11-19
申请人： ManyWorlds, Inc.
IPC分类号： G06F7/00 , G06F17/30 , G06F15/173 , G06Q50/00 , H04L29/06
CPC分类号： H04W4/02 , G06F15/17306 , G06F17/30699 , G06F17/30943 , G06N5/04 , G06N5/046 , G06Q50/01 , H04L51/04 , H04L65/403 , H04L67/306 , H04W4/14
摘要： A mutual expressions of interest people matching system and method recommends people to other people in accordance with inferences of mutual interests from usage behaviors. A person who receives a recommendation can express an interest to a recommended person, and the expression of interest can be an explicit indication of interest in establishing a computer-implemented relationship or the establishing of a directional distinct relationship between the recommended person and the recommendation receiver. The recommended person can in response express an interest to the recommendation receiver by establishing a computer-implemented relationship between the parties. The relationship between the parties may be a subscription-based relationship and explanations for the recommendations may be provided to recommendation receivers.
摘要翻译： 相互表达兴趣人们配合制度和方法，根据利益行为的相互利益推论向其他人推荐人。 接受建议的人可以向推荐人表示兴趣，并且表达兴趣可以是建立计算机实现的关系或建议推荐人与推荐接收者之间的方向不同关系的明确指示 。 推荐人可以通过建立双方之间计算机实现的关系来表达对推荐接收者的兴趣。 双方之间的关系可能是基于订阅的关系，可以向推荐接收者提供建议的解释。
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公开(公告)号：US10699202B2
公开(公告)日：2020-06-30
申请号：US15249359
申请日：2016-08-27
申请人： ManyWorlds, Inc.
IPC分类号： G06N5/04 , G06F16/9535 , G06F16/2457 , G06Q50/00 , H04L12/58 , G06F17/28 , G06F40/56
摘要： A method and system of inferential-based communications applies two sets of values, whereby the first set of values are determined from inferences of the relevancy of textual elements with respect to text-based content and the second set of values are determined from behavioral-based inferences with respect to topics, so as to select appropriate words to be included in communications that are generated for delivery to a user. The inferences that are with respect to text-based content may be determined by applying analytic methods such as Bayesian or statistical learning-based methods. The values that are determined from behavioral-based inferences with respect to topics may correspond to inferences of interest and/or expertise. Words in the communications may be selected and/or arranged in accordance with syntactical rules and may reference elements of the text-based content and/or behavioral inferences.
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公开(公告)号：US10062037B2
公开(公告)日：2018-08-28
申请号：US15230432
申请日：2016-08-07
申请人： ManyWorlds, Inc.
摘要： A self-assembling learning system and apparatus determines self-assembling actions that are expected to reduce uncertainties that are embodied as probabilities and then updates the probabilities in accordance with information that results from the performing of the self-assembling actions. The updated probabilities inform the determination of subsequent self-assembling actions. Neural networks, simulations of multiple potential self-assembling actions, and expected values of information may be applied in determining the self-assembling actions that are to be performed. Sensors may be applied to receive information that inform the updating of probabilities, and the self-assembling apparatus may be a robotic device. Self-assembling actions may comprise modifications to relationships between elements of a computer-implemented system.
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公开(公告)号：US09165259B2
公开(公告)日：2015-10-20
申请号：US14456131
申请日：2014-08-11
申请人： ManyWorlds, Inc.
IPC分类号： G06F15/18 , G06N99/00 , G06N5/04 , G06Q50/00 , G06Q30/06 , G06F17/30 , G06N7/02 , G06F17/28 , G06K7/10
CPC分类号： G06N5/048 , G06F17/2881 , G06F17/30864 , G06K7/10366 , G06K7/10475 , G06N5/04 , G06N7/02 , G06N99/005 , G06Q30/0631 , G06Q50/01
摘要： A personalized activity stream system, method, and device delivers a recommendation that is contextualized basis a selected item in an activity stream and that is personalized for a recommendation recipient consistent with an inference of the recommendation recipient's interests. Contextualization and personalization may be based on an automatic analysis of usage behaviors and/or content. The recommendation may be informed by an inference of an expertise level, and an explanation for the recommendation may be delivered to the recommendation recipient. The recommendation may be in accordance with an automatically determined geographic location associated with a location-aware portable device, as well as environmental conditions proximal to the portable device.
摘要翻译： 个性化活动流系统，方法和设备递送基于活动流中的所选项目而进行上下文化的推荐，并且针对推荐接收者进行个性化的推荐符合推荐接收者的兴趣。 语境化和个性化可以基于对使用行为和/或内容的自动分析。 可以通过专业知识水平的推断通知该建议，并且可以向推荐接收者发送对该推荐的解释。 推荐可以是与位置感知便携式设备相关联的自动确定的地理位置以及靠近便携式设备的环境条件。
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公开(公告)号：US09047245B2
公开(公告)日：2015-06-02
申请号：US13968657
申请日：2013-08-16
申请人： ManyWorlds, Inc.
CPC分类号： H04W4/02 , G06F15/17306 , G06F17/30699 , G06F17/30943 , G06N5/04 , G06N5/046 , G06Q50/01 , H04L51/04 , H04L65/403 , H04L67/306 , H04W4/14
摘要： A location-based matching system and method matches users of a computer-implemented system in accordance with inferences of mutual interest between the users, whereby the inferences of mutual interest are based on mutual computer-implemented relationships and user location information. Inferences of mutual interest may also be in accordance with a physical object. The inferences of mutual interest may be with respect to interests by users in being physically proximal to each other or being physically proximal to a location associated with one of the users. Information associated with user matches may be delivered to a matched user in the form of a computer-implemented map.
摘要翻译： 基于位置的匹配系统和方法根据用户之间相互关注的推论来匹配计算机实现的系统的用户，由此相互关注的推论基于相互计算机实现的关系和用户位置信息。 共同关心的推论也可能是根据物理对象。 相互关心的推论可能是关于用户在物理上彼此靠近或物理上靠近与一个用户相关联的位置的兴趣。 与用户匹配相关联的信息可以以计算机实现的映射的形式传递给匹配的用户。
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公开(公告)号：US08818931B2
公开(公告)日：2014-08-26
申请号：US14093274
申请日：2013-11-29
申请人： ManyWorlds, Inc.
摘要： A comparative expertise level-based discovery system infers an expertise level associated with a system user from a plurality of usage behaviors and compares this expertise level with expertise levels associated with computer-implemented objects. One or more of the computer-implemented objects are selected for delivery to the user in accordance with a comparison of the inferred expertise level of the user and the expertise levels associated with the computer-implemented objects. The expertise levels associated with the computer-implemented objects may be inferred from information within the objects such as text and/or may be inferred from usage behaviors. Inferences of interests of the user may further inform the selection of one or more of the computer-implemented objects for delivery to the user. Explanations for the delivery of the computer-implemented objects may be provided to the user.
摘要翻译： 基于比较专业水平的发现系统从多个使用行为推断与系统用户相关联的专业知识水平，并将该专业知识水平与与计算机实现的对象相关联的专业知识水平进行比较。 根据用户的推断的专业级别与与计算机实现的对象相关联的专业知识水平的比较，选择一个或多个计算机实现的对象以递送给用户。 与计算机实现的对象相关联的专业知识水平可以从诸如文本的对象内的信息推断，和/或可以从使用行为推断出来。 对用户的兴趣的推断可以进一步通知选择一个或多个计算机实现的对象以递送给用户。 可以向用户提供用于传送计算机实现的对象的说明。
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